# AgentsKit.js

> The agent toolkit the JavaScript ecosystem finally has. Small packages, one contract, everything composes — chat UIs (7 frameworks), autonomous runtimes, tools, skills, memory, RAG, observability, evaluation, sandboxing.

Six stable contracts (Adapter, Tool, Skill, Memory, Retriever, Runtime). 21 packages under `@agentskit/*`. Install what you need. Zero-dep foundation under 10 KB gzipped.

## For agents

If you are an LLM reading this site: start at `/docs/for-agents`. That tab is dense, cross-linked, and designed to fit in one context window per package.

## Get started

- [AgentsKit vs. alternatives](https://www.agentskit.io/docs/get-started/comparison): How AgentsKit compares to LangChain.js, Vercel AI SDK, Mastra, and LlamaIndex.js across the surface area that actually matters in production.
- [@agentskit/core hits 1.0](https://www.agentskit.io/docs/get-started/announcements/core-v1): The JavaScript agent toolkit that doesn't lock you in. 5.17 KB gzipped. Zero dependencies. Six contracts pinned to ADRs. Forever stable at the minor level.
- [Adapter](https://www.agentskit.io/docs/get-started/concepts/adapter): The seam between AgentsKit and an LLM provider. The same interface for OpenAI, Anthropic, Gemini, Ollama, or anything that streams tokens.
- [Error Handling](https://www.agentskit.io/docs/get-started/concepts/errors): AgentsKit's didactic error system — Rust-compiler-style errors with codes, hints, and doc links baked in.
- [Implementations index](https://www.agentskit.io/docs/get-started/concepts/implementations): Every concrete implementation of every AgentsKit contract. One page to answer "what ships with this?".
- [Concepts](https://www.agentskit.io/docs/get-started/concepts): Six contracts. Every AgentsKit package is an implementation of one of them.
- [Memory](https://www.agentskit.io/docs/get-started/concepts/memory): Two contracts, not one. ChatMemory persists conversation history. VectorMemory stores embeddings for semantic recall. Different problems, different backends.
- [Mental model](https://www.agentskit.io/docs/get-started/concepts/mental-model): The six concepts every AgentsKit user should know.
- [Retriever](https://www.agentskit.io/docs/get-started/concepts/retriever): One narrow interface that serves RAG, BM25, web search, code search, and memory recall through composition.
- [Runtime](https://www.agentskit.io/docs/get-started/concepts/runtime): The conductor. Owns the loop, tool execution, memory persistence, retrieval, delegation, observability, and abort.
- [Skill](https://www.agentskit.io/docs/get-started/concepts/skill): A persona the model becomes — a system prompt plus optional examples, tools, and delegates. Pure declarative configuration.
- [Tool](https://www.agentskit.io/docs/get-started/concepts/tool): A function the model can call, with JSON-schema-typed arguments and a JSON-serializable result.
- [For AI Agents](https://www.agentskit.io/docs/get-started/getting-started/for-ai-agents): The entire AgentsKit API in one page. Paste this into your LLM context.
- [Installation](https://www.agentskit.io/docs/get-started/getting-started/installation): Install the AgentsKit packages you need — and only those.
- [Quick start](https://www.agentskit.io/docs/get-started/getting-started/quickstart): Build a working AI chat in under 10 lines.
- [Start here](https://www.agentskit.io/docs/get-started/getting-started/read-this-first): Three steps to land. Copy a working chat, pick your path, ship.
- [From LangChain.js](https://www.agentskit.io/docs/get-started/migrating/from-langchain): Side-by-side migration guide. Map your LangChain.js code to AgentsKit — with honest callouts about where LangChain still fits.
- [From Mastra](https://www.agentskit.io/docs/get-started/migrating/from-mastra): Side-by-side migration guide. Map your Mastra code to AgentsKit — with honest callouts about where Mastra still wins.
- [From Vercel AI SDK](https://www.agentskit.io/docs/get-started/migrating/from-vercel-ai-sdk): Side-by-side migration guide. Map your Vercel AI SDK code to AgentsKit — with honest callouts about where each wins.
- [Migrating to AgentsKit](https://www.agentskit.io/docs/get-started/migrating): Guides for moving from other frameworks. Honest about what transfers easily and what doesn't.

## UI

- [ChatContainer](https://www.agentskit.io/docs/ui/chat-container): Headless scrollable transcript container. Auto-scroll on new messages, virtualized-ready.
- [Data attributes](https://www.agentskit.io/docs/ui/data-attributes): AgentsKit UI components are headless. Every stylable hook is a data-ak-* attribute so your CSS (or your LLM) can target them reliably.
- [InputBar](https://www.agentskit.io/docs/ui/input-bar): Text input + submit. Disabled while streaming. Keyboard shortcuts built in.
- [Message](https://www.agentskit.io/docs/ui/message): Renders one message — user, assistant, tool, or system. Streaming-aware, role-aware.
- [Theming](https://www.agentskit.io/docs/ui/theming): CSS variables + optional preset themes. One source of truth across every framework binding.
- [ThinkingIndicator](https://www.agentskit.io/docs/ui/thinking-indicator): Visibility flag for streaming / reasoning states.
- [ToolCallView](https://www.agentskit.io/docs/ui/tool-call-view): Render a tool invocation — name, args, result, status. Works for all tools.
- [ToolConfirmation](https://www.agentskit.io/docs/ui/tool-confirmation): Human-in-the-loop approval UI for guarded tool calls.
- [useChat](https://www.agentskit.io/docs/ui/use-chat): The one hook every framework binding exposes. Same input, same return, same events.

## Agents

- [Background agents](https://www.agentskit.io/docs/agents/background): Trigger runs on a schedule or HTTP webhook.
- [Multi-Agent Delegation](https://www.agentskit.io/docs/agents/delegation): Coordinate multiple specialist agents from a parent agent using directed delegation.
- [Durable execution](https://www.agentskit.io/docs/agents/durable): Persist every step. Resume after crash. Replay deterministically.
- [Human-in-the-loop](https://www.agentskit.io/docs/agents/hitl): Gate tool calls behind approval. Surface reviews to humans before execution.
- [Runtime](https://www.agentskit.io/docs/agents/runtime): @agentskit/runtime is the execution engine for autonomous agents. It runs a ReAct loop — observe, think, act — until the model produces a final answer or a step limit is reached.
- [Self-debug](https://www.agentskit.io/docs/agents/self-debug): Agents that read their own traces, diagnose failures, retry with corrections.
- [Speculate](https://www.agentskit.io/docs/agents/speculate): Run N candidates in parallel. Pick the best by a user-defined scorer.
- [Topologies](https://www.agentskit.io/docs/agents/topologies): Four proven multi-agent patterns — supervisor, swarm, hierarchical, blackboard.
- [Authoring skills](https://www.agentskit.io/docs/agents/skills/authoring): A skill = prompt + behavior + metadata. Versioned, composable, shippable.
- [codeReviewer](https://www.agentskit.io/docs/agents/skills/code-reviewer): Reviews diffs for bugs, security, style. Comments in PR-review format.
- [coder](https://www.agentskit.io/docs/agents/skills/coder): Implements features from specs — TypeScript-first, TDD-leaning, opinionated about code quality.
- [critic](https://www.agentskit.io/docs/agents/skills/critic): Stress-tests proposals. Finds flaws, missing cases, weak assumptions — before they ship.
- [dataAnalyst](https://www.agentskit.io/docs/agents/skills/data-analyst): Analyzes tabular data — loads, inspects, profiles, and explains findings in plain English.
- [Skills](https://www.agentskit.io/docs/agents/skills): Personas as packages — system prompt + behavior, versioned and composable.
- [Skill marketplace](https://www.agentskit.io/docs/agents/skills/marketplace): Publish, install, version skills. Semver range resolution.
- [Ready-made personas](https://www.agentskit.io/docs/agents/skills/personas): Nine skills bundled with @agentskit/skills. Importable, composable.
- [planner](https://www.agentskit.io/docs/agents/skills/planner): Decomposes vague goals into ordered steps with clear success criteria. Ideal as the top node in a supervisor topology.
- [researcher](https://www.agentskit.io/docs/agents/skills/researcher): Methodical web-search persona that finds, cross-references, and summarizes with citations.
- [sqlGen](https://www.agentskit.io/docs/agents/skills/sql-gen): Natural language → SQL with dialect awareness + safety rails.
- [summarizer](https://www.agentskit.io/docs/agents/skills/summarizer): Compresses long inputs into short, faithful summaries. Length-aware; preserves citations.
- [translator](https://www.agentskit.io/docs/agents/skills/translator): High-quality translation between natural languages. Preserves formatting, tone, terminology.
- [Authoring tools](https://www.agentskit.io/docs/agents/tools/authoring): Define, validate, compose, guard. One contract, multiple flavors.
- [Built-in tools](https://www.agentskit.io/docs/agents/tools/builtins): Ship-ready tools — web, fetch, filesystem, shell.
- [Tools](https://www.agentskit.io/docs/agents/tools): Every function the agent can call. Built-ins, integrations, MCP bridge, composers.
- [MCP bridge](https://www.agentskit.io/docs/agents/tools/mcp): Consume or publish Model Context Protocol tools. Interop with Claude Desktop, Cursor, Continue, etc.
- [browserAgent](https://www.agentskit.io/docs/agents/tools/integrations/browser-agent): Puppeteer-backed browser — goto, click, fill, read, screenshot, wait. For agents that need to interact with JS-rendered pages.
- [coingecko](https://www.agentskit.io/docs/agents/tools/integrations/coingecko): CoinGecko — crypto prices + market charts. Free tier, no key required.
- [deepgram](https://www.agentskit.io/docs/agents/tools/integrations/deepgram): Deepgram STT — low-latency transcription with speaker diarization. Preferred for realtime + voice-agent flows.
- [discord](https://www.agentskit.io/docs/agents/tools/integrations/discord): Discord Bot API — post messages. For community bots, notifier agents, and interactive slash-command workflows.
- [documentParsers](https://www.agentskit.io/docs/agents/tools/integrations/document-parsers): PDF, DOCX, XLSX parsers — BYO parser functions keep core dependency-free.
- [elevenlabs](https://www.agentskit.io/docs/agents/tools/integrations/elevenlabs): ElevenLabs text-to-speech — high-quality voices in 30+ languages. For narration, voice agents, IVR flows.
- [firecrawl](https://www.agentskit.io/docs/agents/tools/integrations/firecrawl): Firecrawl — scrape a URL or crawl a site, returning clean markdown. The workhorse for RAG ingestion from the open web.
- [github](https://www.agentskit.io/docs/agents/tools/integrations/github): GitHub REST v3 — search issues, create issues, comment. Pairs with HITL for ship-gating bots.
- [gmail](https://www.agentskit.io/docs/agents/tools/integrations/gmail): Gmail API — list messages, send email. For inbox-triage agents + notification flows.
- [googleCalendar](https://www.agentskit.io/docs/agents/tools/integrations/google-calendar): Google Calendar API — list events, create events. For scheduling agents + standup prep bots.
- [Integrations](https://www.agentskit.io/docs/agents/tools/integrations): 20+ ready-made connectors for the services agents actually need. Each follows the same contract — install, config, execute — and ships granular sub-tools alongside a bundled set.
- [linear](https://www.agentskit.io/docs/agents/tools/integrations/linear): Linear GraphQL — search issues, create issues. For triage, sprint-planning, release-notes agents.
- [maps](https://www.agentskit.io/docs/agents/tools/integrations/maps): Geocoding + reverse-geocoding via any provider with an HTTP API (Google, Mapbox, OpenCage, Positionstack, Nominatim).
- [notion](https://www.agentskit.io/docs/agents/tools/integrations/notion): Notion API — search workspace, create pages. Pair with RAG to turn Notion into agent-queryable memory.
- [openaiImages](https://www.agentskit.io/docs/agents/tools/integrations/openai-images): OpenAI Images API (DALL-E / gpt-image) — generate images from prompts.
- [postgres](https://www.agentskit.io/docs/agents/tools/integrations/postgres): Postgres query tool — BYO runner keeps the adapter client-agnostic (`postgres.js`, `pg`, Drizzle, Prisma, Neon).
- [reader](https://www.agentskit.io/docs/agents/tools/integrations/reader): Jina Reader — turn any URL into clean markdown. Free, fast, no API key required for casual use.
- [s3](https://www.agentskit.io/docs/agents/tools/integrations/s3): AWS S3 — get, put, list objects. BYO client keeps the tool AWS-SDK-version-agnostic.
- [slack](https://www.agentskit.io/docs/agents/tools/integrations/slack): Slack Web API — post messages, search history. For notifier bots + conversational search over a workspace.
- [stripe](https://www.agentskit.io/docs/agents/tools/integrations/stripe): Stripe API — create customers, payment intents. For checkout assistants + dunning agents.
- [weather](https://www.agentskit.io/docs/agents/tools/integrations/weather): Current weather by lat/lng. Free tier via open-meteo by default; swap provider via config.
- [whisper](https://www.agentskit.io/docs/agents/tools/integrations/whisper): OpenAI Whisper — speech-to-text for audio transcription. 99 languages.

## Data

- [createAutoSummarizingMemory](https://www.agentskit.io/docs/data/memory/auto-summarize): Fold oldest messages into a running summary. Token-budget-friendly.
- [chroma](https://www.agentskit.io/docs/data/memory/chroma): Chroma vector DB via HTTP.
- [createEncryptedMemory](https://www.agentskit.io/docs/data/memory/encrypted): AES-GCM-256 envelope over any ChatMemory. Keys never touch disk in plaintext.
- [fileChatMemory](https://www.agentskit.io/docs/data/memory/file-chat): JSON-file-backed chat memory. Zero infra. Survives restarts.
- [fileVectorMemory](https://www.agentskit.io/docs/data/memory/file-vector): Pure-JS file-persisted vector store. Zero infra.
- [createInMemoryGraph](https://www.agentskit.io/docs/data/memory/graph): Knowledge graph memory — nodes + edges, queryable.
- [createHierarchicalMemory](https://www.agentskit.io/docs/data/memory/hierarchical): MemGPT-style tiers — working / recall / archival.
- [Memory](https://www.agentskit.io/docs/data/memory): Chat memory + vector stores + wrappers that make long-running agents practical.
- [createInMemoryPersonalization](https://www.agentskit.io/docs/data/memory/personalization): Per-subject profile store. Inject into system prompt.
- [pgvector](https://www.agentskit.io/docs/data/memory/pgvector): Postgres + pgvector adapter. BYO SQL runner.
- [pinecone](https://www.agentskit.io/docs/data/memory/pinecone): Managed vector DB. Namespaces + metadata filters.
- [qdrant](https://www.agentskit.io/docs/data/memory/qdrant): Self-hosted or cloud Qdrant via HTTP.
- [redisChatMemory](https://www.agentskit.io/docs/data/memory/redis-chat): Redis-backed chat memory for multi-instance + serverless.
- [redisVectorMemory](https://www.agentskit.io/docs/data/memory/redis-vector): Redis Stack / Redis 8+ vector index. Metadata filtering + HNSW.
- [sqliteChatMemory](https://www.agentskit.io/docs/data/memory/sqlite): SQLite-backed chat memory. Indexed by session + timestamp.
- [upstashVector](https://www.agentskit.io/docs/data/memory/upstash-vector): Serverless HTTP vector DB from Upstash.
- [createVirtualizedMemory](https://www.agentskit.io/docs/data/memory/virtualized): Hot-window + cold retriever. Keep recent messages; retrieve old ones on demand.
- [anthropic](https://www.agentskit.io/docs/data/providers/anthropic): Anthropic chat adapter — Claude Opus / Sonnet / Haiku. Streaming, tool-calls, vision, long-context.
- [cohere](https://www.agentskit.io/docs/data/providers/cohere): Cohere Command — enterprise-focused RAG-friendly models with citations.
- [deepseekEmbedder](https://www.agentskit.io/docs/data/providers/deepseek-embedder): DeepSeek embedding model. Compatible with createOpenAICompatibleEmbedder under the hood.
- [deepseek](https://www.agentskit.io/docs/data/providers/deepseek): DeepSeek — cost-efficient reasoning + chat models. OpenAI-compatible API.
- [Embedders](https://www.agentskit.io/docs/data/providers/embedders): Turn text into vectors. Used by RAG + vector memory.
- [fireworks](https://www.agentskit.io/docs/data/providers/fireworks): Fireworks AI — fast open-model inference with fine-tuning + function-calling support.
- [geminiEmbedder](https://www.agentskit.io/docs/data/providers/gemini-embedder): Google Gemini embeddings — text-embedding-004. Strong multilingual.
- [gemini](https://www.agentskit.io/docs/data/providers/gemini): Google Gemini chat adapter — Gemini 2.5 Pro / Flash. Streaming, tool-calls, vision, 1M+ context.
- [generic](https://www.agentskit.io/docs/data/providers/generic): Turn any `ReadableStream` into an AgentsKit adapter — the lowest-level escape hatch.
- [grokEmbedder](https://www.agentskit.io/docs/data/providers/grok-embedder): xAI embedding model.
- [grok](https://www.agentskit.io/docs/data/providers/grok): xAI Grok — streaming chat + tool calls. OpenAI-compatible API surface.
- [groq](https://www.agentskit.io/docs/data/providers/groq): Groq — ultra-low-latency inference on custom LPU hardware. Llama + Mixtral + Gemma.
- [Higher-order adapters](https://www.agentskit.io/docs/data/providers/higher-order): Compose adapters — route, ensemble, fallback.
- [Hosted chat adapters](https://www.agentskit.io/docs/data/providers/hosted): 17 managed-LLM adapters. Same contract; swap by changing one import.
- [huggingface](https://www.agentskit.io/docs/data/providers/huggingface): Hugging Face Inference Endpoints + Serverless — run any HF-hosted chat model.
- [Providers](https://www.agentskit.io/docs/data/providers): 20+ LLM chat + embedder adapters, plus higher-order adapters that compose candidates.
- [kimiEmbedder](https://www.agentskit.io/docs/data/providers/kimi-embedder): Moonshot Kimi embedding model.
- [kimi](https://www.agentskit.io/docs/data/providers/kimi): Moonshot AI Kimi — long-context, OpenAI-compatible.
- [langchain](https://www.agentskit.io/docs/data/providers/langchain): Wrap any LangChain.js `ChatModel` as an AgentsKit adapter.
- [langgraph](https://www.agentskit.io/docs/data/providers/langgraph): Wrap a LangGraph graph as an AgentsKit adapter — streamEvents surfaced as chunks.
- [llamacpp](https://www.agentskit.io/docs/data/providers/llamacpp): llama.cpp server — run GGUF models on CPU or GPU with minimal overhead.
- [lmstudio](https://www.agentskit.io/docs/data/providers/lmstudio): LM Studio — desktop app that exposes an OpenAI-compatible server over local models.
- [Local runtimes](https://www.agentskit.io/docs/data/providers/local): Run fully offline — Ollama, LM Studio, vLLM, llama.cpp.
- [mistral](https://www.agentskit.io/docs/data/providers/mistral): Mistral — open-weights-friendly family including Mistral Large, Codestral, Mixtral.
- [ollamaEmbedder](https://www.agentskit.io/docs/data/providers/ollama-embedder): Ollama-hosted embedding models — nomic-embed-text, mxbai-embed-large, all-minilm.
- [ollama](https://www.agentskit.io/docs/data/providers/ollama): Ollama — local LLMs on your laptop. Zero-cost, offline, private.
- [createOpenAICompatibleEmbedder](https://www.agentskit.io/docs/data/providers/openai-compatible-embedder): Escape hatch for any OpenAI-compatible `/v1/embeddings` endpoint — LMS, vLLM, Cerebras, Voyage, Jina, internal gateways.
- [openaiEmbedder](https://www.agentskit.io/docs/data/providers/openai-embedder): OpenAI text embeddings — text-embedding-3-small / -large. Default choice for most RAG stacks.
- [openai](https://www.agentskit.io/docs/data/providers/openai): OpenAI chat adapter — GPT-4o, o-series, GPT-5. Streaming, tool-calls, parallel tools, multimodal.
- [openrouter](https://www.agentskit.io/docs/data/providers/openrouter): OpenRouter — one API to route across 100+ providers with transparent pricing.
- [together](https://www.agentskit.io/docs/data/providers/together): Together AI — hosts 200+ open models behind one OpenAI-compatible API.
- [vercelAI](https://www.agentskit.io/docs/data/providers/vercel-ai): Wrap a Vercel AI SDK `LanguageModel` as an AgentsKit adapter.
- [vllm](https://www.agentskit.io/docs/data/providers/vllm): vLLM — high-throughput self-hosted inference with OpenAI-compatible API. For production workloads on your own GPUs.
- [Chunking](https://www.agentskit.io/docs/data/rag/chunking): Split docs before embedding. Sensible defaults; override per doc type.
- [createRAG](https://www.agentskit.io/docs/data/rag/create-rag): One-liner RAG pipeline — chunk, embed, store, retrieve, search.
- [Hybrid search](https://www.agentskit.io/docs/data/rag/hybrid): Vector + BM25 blend with weighted normalization.
- [RAG](https://www.agentskit.io/docs/data/rag): Plug-and-play retrieval. Chunk, embed, search, rerank, loaders.
- [Document loaders](https://www.agentskit.io/docs/data/rag/loaders): Fetch + normalize documents from URLs, GitHub, Notion, Confluence, Google Drive, PDFs.
- [Rerank](https://www.agentskit.io/docs/data/rag/rerank): Post-retrieval reranker. Cohere / BGE / built-in BM25.

## Production

- [agentskit ai](https://www.agentskit.io/docs/production/cli/ai): Natural language → typed AgentSchema + scaffold.
- [agentskit chat](https://www.agentskit.io/docs/production/cli/chat): Interactive terminal chat. Ink-based. No setup required.
- [agentskit dev](https://www.agentskit.io/docs/production/cli/dev): Local dev server with hot-reload. Devtools + trace feed attached.
- [agentskit doctor](https://www.agentskit.io/docs/production/cli/doctor): Diagnose your environment. Providers, keys, tooling, versions.
- [CLI](https://www.agentskit.io/docs/production/cli): Nine commands wrapping every part of AgentsKit — init, chat, run, dev, doctor, ai, tunnel, rag, config.
- [agentskit init](https://www.agentskit.io/docs/production/cli/init): Scaffold a new project — react, ink, runtime, or multi-agent template.
- [agentskit run](https://www.agentskit.io/docs/production/cli/run): One-shot agent run from the terminal. Pipe inputs, capture outputs.
- [CI reporters](https://www.agentskit.io/docs/production/evals/ci): JUnit, Markdown, GitHub annotations — for any CI stack.
- [Evals](https://www.agentskit.io/docs/production/evals): Measure quality with numbers, not vibes. Suites, replay, snapshots, diff, CI reporters.
- [Deterministic replay](https://www.agentskit.io/docs/production/evals/replay): Record once, replay forever. Test without hitting the network.
- [Prompt snapshots + diff](https://www.agentskit.io/docs/production/evals/snapshots): Jest-style snapshots for prompts. Git-blame for every change.
- [Eval suites](https://www.agentskit.io/docs/production/evals/suites): Run any async agent fn against an EvalSuite. Pass/fail per case.
- [Signed audit log](https://www.agentskit.io/docs/production/observability/audit-log): Hash-chained, HMAC-signed audit log. Tamper-evident record of every step.
- [Cost + token accounting](https://www.agentskit.io/docs/production/observability/cost-guard): Cap runs by dollars or tokens. Stop before you're surprised.
- [Devtools server](https://www.agentskit.io/docs/production/observability/devtools): Live SSE feed of agent events. Power any custom dashboard.
- [Observability](https://www.agentskit.io/docs/production/observability): Trace, log, audit, and cost-guard your agents end-to-end.
- [Loggers + tracers](https://www.agentskit.io/docs/production/observability/loggers): Console, LangSmith, OpenTelemetry. Pick one; attach to runtime.
- [Trace viewer](https://www.agentskit.io/docs/production/observability/trace-viewer): Offline Jaeger-style HTML trace of every run. No hosting required.
- [Security](https://www.agentskit.io/docs/production/security): The five primitives most production agents want — PII, injection, rate limits, audit, sandbox.
- [Mandatory sandbox](https://www.agentskit.io/docs/production/security/mandatory-sandbox): Policy wrapper for tools — allow, deny, require-sandbox, validators.
- [PII redaction](https://www.agentskit.io/docs/production/security/pii-redaction): Scrub emails, phones, SSNs, keys before they leave your process.
- [Prompt injection](https://www.agentskit.io/docs/production/security/prompt-injection): Detect and block jailbreak patterns in user input or tool results.
- [Rate limiting](https://www.agentskit.io/docs/production/security/rate-limiting): Token bucket per user / IP / key. Works with any adapter.

## For agents

- [@agentskit/adapters — for agents](https://www.agentskit.io/docs/for-agents/adapters): Provider adapters (OpenAI-compatible + native) + router + ensemble + fallback + generic factory.
- [@agentskit/angular — for agents](https://www.agentskit.io/docs/for-agents/angular): Angular service exposing chat state as Signal + RxJS Observable.
- [@agentskit/cli — for agents](https://www.agentskit.io/docs/for-agents/cli): agentskit CLI — init, chat, run, dev, doctor, ai, tunnel, rag, config.
- [@agentskit/core — for agents](https://www.agentskit.io/docs/for-agents/core): Zero-dependency foundation. Contracts, chat controller, primitives, and a dozen feature subpaths.
- [@agentskit/eval — for agents](https://www.agentskit.io/docs/for-agents/eval): Evaluation harness + deterministic replay + snapshot testing + diff + CI reporters.
- [@agentskit/ink — for agents](https://www.agentskit.io/docs/for-agents/ink): Terminal chat UI via Ink. Same useChat contract as the React binding.
- [@agentskit/memory — for agents](https://www.agentskit.io/docs/for-agents/memory): Chat + vector memory backends, plus hierarchical, encrypted, graph, and personalization stores.
- [@agentskit/observability — for agents](https://www.agentskit.io/docs/for-agents/observability): Console + LangSmith + OpenTelemetry logging, token counters, cost guard, trace viewer, signed audit log, devtools server.
- [@agentskit/rag — for agents](https://www.agentskit.io/docs/for-agents/rag): Plug-and-play RAG. Chunking + ingest + retrieve + rerank + hybrid + six document loaders.
- [@agentskit/react-native — for agents](https://www.agentskit.io/docs/for-agents/react-native): React Native / Expo hook for AgentsKit. Metro + Hermes safe.
- [@agentskit/react — for agents](https://www.agentskit.io/docs/for-agents/react): React hooks + headless chat components driving createChatController.
- [@agentskit/runtime — for agents](https://www.agentskit.io/docs/for-agents/runtime): Standalone agent runtime (ReAct loop) + speculate + topologies + durable execution + background agents.
- [@agentskit/sandbox — for agents](https://www.agentskit.io/docs/for-agents/sandbox): Secure code execution (E2B / WebContainer) + mandatory sandbox policy wrapper.
- [@agentskit/skills — for agents](https://www.agentskit.io/docs/for-agents/skills): Ready-made personas (system prompt + behavior) + composition + marketplace registry.
- [@agentskit/solid — for agents](https://www.agentskit.io/docs/for-agents/solid): Solid hook for AgentsKit.
- [@agentskit/svelte — for agents](https://www.agentskit.io/docs/for-agents/svelte): Svelte 5 store for AgentsKit.
- [@agentskit/tools — for agents](https://www.agentskit.io/docs/for-agents/tools): Built-in executable tools + 20+ third-party integrations + bidirectional MCP bridge.
- [@agentskit/vue — for agents](https://www.agentskit.io/docs/for-agents/vue): Vue 3 composable + ChatContainer component.

## Reference

- [Commit style](https://www.agentskit.io/docs/reference/contribute/commit-style): Conventional commits, changesets, and the PR checklist.
- [Docs MDX components](https://www.agentskit.io/docs/reference/contribute/docs-components): Embeddable components available inside every .mdx file — Stackblitz, CodeSandbox, GIFs, Mermaid.
- [Good first issues](https://www.agentskit.io/docs/reference/contribute/good-first-issues): Curated issues ready to grab. Pick one, comment on it to claim, and ship a PR.
- [Contribute](https://www.agentskit.io/docs/reference/contribute): AgentsKit is built in the open. Here's how to help — from filing an issue to shipping a new adapter.
- [Local setup](https://www.agentskit.io/docs/reference/contribute/local-setup): Clone, install, and run the AgentsKit monorepo locally in under 2 minutes.
- [Package documentation checklist](https://www.agentskit.io/docs/reference/contribute/package-docs): Use this when adding or changing a package or its public API.
- [RFC process](https://www.agentskit.io/docs/reference/contribute/rfc-process): For larger proposals — new packages, breaking changes, or architectural shifts. Keep it lightweight.
- [Roadmap](https://www.agentskit.io/docs/reference/contribute/roadmap): What we're building next, what's open, what's landed.
- [Agent Actions](https://www.agentskit.io/docs/reference/examples/agent-actions): AI agents that generate live, interactive UI — task trackers, dashboards, forms. The agent doesn't just respond with text, it builds working interfaces.
- [Basic Chat](https://www.agentskit.io/docs/reference/examples/basic-chat): The simplest use case — streaming AI conversation with auto-scroll, stop button, and keyboard handling. All in 10 lines with AgentsKit.
- [Code Assistant](https://www.agentskit.io/docs/reference/examples/code-assistant): Streaming code with syntax highlighting. AgentsKit's CodeBlock component renders code beautifully as it streams in.
- [Evaluation Runner](https://www.agentskit.io/docs/reference/examples/eval-runner): Benchmark your agents against test suites. Measure accuracy, latency, and cost with @agentskit/eval.
- [Examples](https://www.agentskit.io/docs/reference/examples): Interactive demos. For copy-paste code, see Recipes.
- [Markdown Chat](https://www.agentskit.io/docs/reference/examples/markdown-chat): Rich formatted responses — headings, tables, code blocks, lists, and blockquotes. AgentsKit's Markdown component renders everything beautifully as it streams.
- [MUI Chat](https://www.agentskit.io/docs/reference/examples/mui-chat): AgentsKit's useChat hook styled with Material UI components. This demo recreates the MUI look — in a real app, you'd use actual MUI imports.
- [Multi-Agent Planning](https://www.agentskit.io/docs/reference/examples/multi-agent): A planner agent that breaks tasks into steps and delegates to specialists. Built with @agentskit/react and the planner skill.
- [Multi-Model Comparison](https://www.agentskit.io/docs/reference/examples/multi-model): Compare responses from different AI models side-by-side. Same input, different adapters — AgentsKit makes it trivial.
- [RAG Chat](https://www.agentskit.io/docs/reference/examples/rag-chat): Retrieval-Augmented Generation — chat with your documents. Show citations, source references, and document context alongside AI responses.
- [RAG Pipeline](https://www.agentskit.io/docs/reference/examples/rag-pipeline): Ingest documents, embed them, and retrieve relevant context during chat. Uses @agentskit/rag with any embedder and vector store.
- [Runtime Agent](https://www.agentskit.io/docs/reference/examples/runtime-agent): Run a standalone agent from code — no UI required. The runtime executes a ReAct loop: call tools, observe results, decide next action.
- [shadcn Chat](https://www.agentskit.io/docs/reference/examples/shadcn-chat): AgentsKit's useChat hook styled with shadcn/ui patterns. This demo recreates the shadcn look — in a real app, you'd use actual shadcn components.
- [Customer Support Bot](https://www.agentskit.io/docs/reference/examples/support-bot): Quick replies, typing indicators, escalation flows. Build production support experiences with AgentsKit's headless components.
- [Tool Use](https://www.agentskit.io/docs/reference/examples/tool-use): AI assistants that call functions — weather lookups, web search, database queries. AgentsKit renders tool calls with expandable cards showing arguments and results.
- [@agentskit/adapters](https://www.agentskit.io/docs/reference/packages/adapters): 20+ LLM chat + embedder adapters, plus router / ensemble / fallback. Swap providers with one import line.
- [@agentskit/angular](https://www.agentskit.io/docs/reference/packages/angular): Angular service exposing chat state as a Signal + RxJS Observable. Same contract as @agentskit/react.
- [@agentskit/cli](https://www.agentskit.io/docs/reference/packages/cli): The agentskit CLI — init, chat, run, dev, doctor, ai, tunnel, rag, config.
- [@agentskit/core](https://www.agentskit.io/docs/reference/packages/core): The shared contract layer for AgentsKit: TypeScript types, the headless chat controller, stream helpers, and building blocks used by @agentskit/react, @agentskit/ink, @agentskit/runtime, and adapt
- [@agentskit/eval](https://www.agentskit.io/docs/reference/packages/eval): Eval suites + deterministic replay + snapshot testing + prompt diff + CI reporters.
- [@agentskit/ink](https://www.agentskit.io/docs/reference/packages/ink): Terminal chat UI on Ink. Same useChat contract as the React binding.
- [@agentskit/memory](https://www.agentskit.io/docs/reference/packages/memory): Chat memory + vector stores + hierarchical / encrypted / graph / personalization wrappers.
- [@agentskit/observability](https://www.agentskit.io/docs/reference/packages/observability): Trace viewer, signed audit log, cost guard, devtools, token counters.
- [Packages overview](https://www.agentskit.io/docs/reference/packages/overview): Every AgentsKit package at a glance — what it does, when to reach for it, where to read the deep dive.
- [@agentskit/rag](https://www.agentskit.io/docs/reference/packages/rag): Plug-and-play RAG. Chunk, embed, retrieve, rerank, hybrid — plus six document loaders.
- [@agentskit/react-native](https://www.agentskit.io/docs/reference/packages/react-native): React Native / Expo hook. Metro + Hermes safe. Same contract as @agentskit/react.
- [@agentskit/react](https://www.agentskit.io/docs/reference/packages/react): React hooks + headless chat components driving the shared ChatController.
- [Roadmap](https://www.agentskit.io/docs/reference/packages/roadmap): Per-package stability status, current version, and what each package needs to reach v1.0.
- [@agentskit/runtime](https://www.agentskit.io/docs/reference/packages/runtime): Standalone agent runtime. ReAct loop, durable execution, multi-agent topologies, speculative execution, background agents.
- [@agentskit/sandbox](https://www.agentskit.io/docs/reference/packages/sandbox): Secure code execution (E2B / WebContainer) + mandatory-sandbox policy wrapper.
- [@agentskit/skills](https://www.agentskit.io/docs/reference/packages/skills): Ready-made personas + composition + marketplace registry with semver.
- [@agentskit/solid](https://www.agentskit.io/docs/reference/packages/solid): Solid hook. Same contract as @agentskit/react.
- [@agentskit/svelte](https://www.agentskit.io/docs/reference/packages/svelte): Svelte 5 chat store. Same contract as @agentskit/react.
- [@agentskit/templates](https://www.agentskit.io/docs/reference/packages/templates): Authoring toolkit for generating AgentsKit extensions: validated ToolDefinition / SkillDefinition / AdapterFactory objects and on-disk scaffolds (package.json, tsup, tests, README). Depends on
- [@agentskit/tools](https://www.agentskit.io/docs/reference/packages/tools): Built-in tools + 20 third-party integrations + bidirectional MCP bridge.
- [@agentskit/vue](https://www.agentskit.io/docs/reference/packages/vue): Vue 3 composable + ChatContainer component. Same contract as @agentskit/react.
- [Adapter ensemble](https://www.agentskit.io/docs/reference/recipes/adapter-ensemble): Send one request to N models in parallel, aggregate the answers into a single output.
- [Adapter router](https://www.agentskit.io/docs/reference/recipes/adapter-router): Auto-pick an adapter per request based on cost, latency, capabilities, or a custom classifier.
- [agentskit ai — natural-language agent generator](https://www.agentskit.io/docs/reference/recipes/agentskit-ai): Describe an agent in plain English, get a typed AgentSchema + tool stubs + runtime wiring.
- [Signed audit log](https://www.agentskit.io/docs/reference/recipes/audit-log): Hash-chained, HMAC-signed audit log for SOC 2 / HIPAA friendly evidence — tamper-evident and authenticated.
- [Auto-summarization](https://www.agentskit.io/docs/reference/recipes/auto-summarize): Wrap any ChatMemory so it compacts oldest messages into a summary whenever stored tokens exceed a budget.
- [Background agents (cron + webhooks)](https://www.agentskit.io/docs/reference/recipes/background-agents): Run agents on a schedule or in response to incoming webhooks, without pulling in a job-queue dependency.
- [Code reviewer agent](https://www.agentskit.io/docs/reference/recipes/code-reviewer): An agent that reads a git diff, runs the test suite, and posts a structured review.
- [Confirmation-gated tool](https://www.agentskit.io/docs/reference/recipes/confirmation-gated-tool): A dangerous tool the runtime refuses to execute without explicit human approval.
- [Cost guard](https://www.agentskit.io/docs/reference/recipes/cost-guard): Enforce a dollar budget per run. Tokens → cost → abort, all via contract primitives.
- [Cost-guarded chat](https://www.agentskit.io/docs/reference/recipes/cost-guarded-chat): A chat that aborts the run when token usage exceeds your budget — using only an observer.
- [Custom adapter](https://www.agentskit.io/docs/reference/recipes/custom-adapter): Wrap any LLM API as an AgentsKit adapter. Plug-and-play with the rest of the kit in 30 lines.
- [Deterministic replay](https://www.agentskit.io/docs/reference/recipes/deterministic-replay): Record a real agent session once, then replay it bit-for-bit in tests and bug repros — no more flaky LLM traces.
- [Devtools server](https://www.agentskit.io/docs/reference/recipes/devtools-server): Expose a live feed of agent events so any browser extension or custom dashboard can inspect a running agent.
- [Discord bot](https://www.agentskit.io/docs/reference/recipes/discord-bot): A Discord bot powered by AgentsKit. Replies in threads, calls tools, remembers per-channel.
- [Document loaders](https://www.agentskit.io/docs/reference/recipes/doc-loaders): One-line fetchers for URL, GitHub, Notion, Confluence, Google Drive, and PDF into your RAG pipeline.
- [Durable execution (Temporal-style)](https://www.agentskit.io/docs/reference/recipes/durable-execution): Wrap side-effectful steps so crashes, deploys, and retries replay from a step log instead of starting over.
- [Edit + regenerate messages](https://www.agentskit.io/docs/reference/recipes/edit-and-regenerate): Let users correct a prompt, edit the model's answer, or re-run any assistant turn — with correct truncation and streaming.
- [Encrypted memory](https://www.agentskit.io/docs/reference/recipes/encrypted-memory): Client-side AES-GCM encryption for any ChatMemory — keys never leave the caller, backing store only sees ciphertext.
- [Eval suite for an agent](https://www.agentskit.io/docs/reference/recipes/eval-suite): Score an agent's quality in CI. A test suite for agents, not for code.
- [Evals in CI](https://www.agentskit.io/docs/reference/recipes/evals-ci): Run agent evals on every PR, fail builds below a minimum accuracy, surface results in the PR UI.
- [Fallback chain](https://www.agentskit.io/docs/reference/recipes/fallback-chain): Try adapters in order — on error, fall through to the next without duplicating tool calls.
- [Vue / Svelte / Solid / React Native / Angular](https://www.agentskit.io/docs/reference/recipes/framework-adapters): One package per framework. Same ChatReturn contract as @agentskit/react — pick the binding that matches your stack.
- [Generative UI + artifacts](https://www.agentskit.io/docs/reference/recipes/generative-ui): A typed JSON schema the agent emits, a framework-agnostic element tree, plus rich artifacts (code, markdown, HTML, charts).
- [Graph memory](https://www.agentskit.io/docs/reference/recipes/graph-memory): Non-linear memory for entities and relationships. Backs anything from in-memory Maps to Neo4j.
- [Hierarchical memory (MemGPT-style)](https://www.agentskit.io/docs/reference/recipes/hierarchical-memory): Three tiers — working, recall, archival — so long-running agents don't lose context and don't blow the window.
- [Human-in-the-loop approvals](https://www.agentskit.io/docs/reference/recipes/hitl-approvals): Pause an agent at a named gate, persist the decision, resume deterministically.
- [Recipes](https://www.agentskit.io/docs/reference/recipes): Copy-paste solutions grouped by theme. Every recipe end-to-end, runs as written.
- [Provider integrations](https://www.agentskit.io/docs/reference/recipes/integrations): Ready-made tools for GitHub, Linear, Slack, Notion, Discord, Gmail, Google Calendar, Stripe, Postgres, and S3.
- [Mandatory tool sandbox](https://www.agentskit.io/docs/reference/recipes/mandatory-sandbox): Enforce a sandbox policy across every tool the agent can call — allow-list, deny-list, require-sandbox, per-tool validators.
- [MCP bridge (bidirectional)](https://www.agentskit.io/docs/reference/recipes/mcp-bridge): Consume any MCP server as AgentsKit tools, or expose your AgentsKit tools to MCP hosts — over stdio or any transport.
- [Scraping, voice, maps, browser agent](https://www.agentskit.io/docs/reference/recipes/more-integrations): Firecrawl + Jina Reader, OpenAI Images + ElevenLabs + Whisper + Deepgram, Nominatim + OpenWeatherMap + CoinGecko, and a BYO-Playwright browser agent.
- [More provider adapters](https://www.agentskit.io/docs/reference/recipes/more-providers): Mistral, Cohere, Together, Groq, Fireworks, OpenRouter, Hugging Face, LM Studio, vLLM, llama.cpp — one line each.
- [Multi-agent topologies](https://www.agentskit.io/docs/reference/recipes/multi-agent-topologies): Ready-made supervisor, swarm, hierarchical, and blackboard builders — four ways to combine agents into one.
- [Unified multi-modal](https://www.agentskit.io/docs/reference/recipes/multi-modal): One API for text, image, audio, video, and file inputs — regardless of provider.
- [Open specs — A2A, Manifest, Eval Format](https://www.agentskit.io/docs/reference/recipes/open-specs): Three small, versioned specs so agents, skill packs, and eval datasets travel across tools.
- [PDF Q&A](https://www.agentskit.io/docs/reference/recipes/pdf-qa): Ask questions about a local PDF file. Extract, chunk, embed, retrieve, answer.
- [Persistent memory across sessions](https://www.agentskit.io/docs/reference/recipes/persistent-memory): A chat that remembers yesterday's conversation. SQLite-backed. Works in 5 lines.
- [Personalization](https://www.agentskit.io/docs/reference/recipes/personalization): Persisted user profile that conditions every agent response.
- [PII redaction](https://www.agentskit.io/docs/reference/recipes/pii-redaction): Strip emails, phone numbers, SSNs, and other PII from messages before they hit the model or your logs.
- [Progressive tool calls](https://www.agentskit.io/docs/reference/recipes/progressive-tool-calls): Start executing a tool before the model finishes streaming its arguments.
- [Prompt diff](https://www.agentskit.io/docs/reference/recipes/prompt-diff): Git blame for prompts — find which prompt change is responsible for an output change.
- [A/B prompts with feature flags](https://www.agentskit.io/docs/reference/recipes/prompt-experiments): Ship multiple prompts, route users deterministically, measure which wins.
- [Prompt injection detector](https://www.agentskit.io/docs/reference/recipes/prompt-injection): Score incoming text for injection attempts — heuristics + optional model classifier (Llama Guard, Rebuff).
- [Prompt snapshot testing](https://www.agentskit.io/docs/reference/recipes/prompt-snapshots): Jest-style snapshot tests for prompts, with semantic tolerance so small wording drift doesn't break CI.
- [Chat with RAG](https://www.agentskit.io/docs/reference/recipes/rag-chat): A streaming React chat that answers from your own documents. Vector store, embeddings, retrieval, hooked up in 30 lines.
- [RAG reranking + hybrid search](https://www.agentskit.io/docs/reference/recipes/rag-reranking): Wrap your vector retriever with BM25 hybrid scoring and pluggable rerankers (Cohere Rerank, BGE, etc.).
- [Rate limiting](https://www.agentskit.io/docs/reference/recipes/rate-limiting): Token-bucket rate limits keyed by user / IP / API key with per-tier bucket config.
- [Replay a session against a different model](https://www.agentskit.io/docs/reference/recipes/replay-different-model): Re-run a recorded cassette through any adapter to compare quality, latency, or cost without touching production traffic.
- [Multi-agent research team](https://www.agentskit.io/docs/reference/recipes/research-team): A planner that delegates to a researcher and a writer. Real multi-agent in 30 lines.
- [Schema-first agents](https://www.agentskit.io/docs/reference/recipes/schema-first-agent): Define your agent in YAML or JSON and get a typed AgentSchema you can feed the runtime.
- [Self-debug tool](https://www.agentskit.io/docs/reference/recipes/self-debug): On tool error, let the agent read the error + schema and draft corrected arguments for a retry.
- [Wrap a non-streaming endpoint](https://www.agentskit.io/docs/reference/recipes/simulate-stream): Turn a one-shot provider into a streaming adapter so UIs see identical ergonomics.
- [Skill marketplace + ready-made skills](https://www.agentskit.io/docs/reference/recipes/skill-marketplace): Publish + install versioned skills through a registry. Four new ready-made skills.
- [Speculative execution](https://www.agentskit.io/docs/reference/recipes/speculative-execution): Run the same request across N adapters in parallel, keep the winner, abort the losers.
- [Time-travel debug](https://www.agentskit.io/docs/reference/recipes/time-travel-debug): Step through a recorded agent session, rewrite a tool result, and replay from that point forward.
- [Token budget compiler](https://www.agentskit.io/docs/reference/recipes/token-budget): Declare a token budget, let AgentsKit trim messages and summarize history to fit.
- [Tool composer](https://www.agentskit.io/docs/reference/recipes/tool-composer): Chain N tools into a single macro tool — a fixed recipe the model can invoke with one schema.
- [Local trace viewer](https://www.agentskit.io/docs/reference/recipes/trace-viewer): Persist agent spans to disk and open a self-contained HTML waterfall — Jaeger-style, no server required.
- [Vector memory adapters](https://www.agentskit.io/docs/reference/recipes/vector-adapters): Drop-in VectorMemory for pgvector, Pinecone, Qdrant, Chroma, and Upstash Vector.
- [Virtualized memory](https://www.agentskit.io/docs/reference/recipes/virtualized-memory): Transparently handle giant conversations by keeping a hot window active and paging the rest.
- [A2A — Agent-to-Agent](https://www.agentskit.io/docs/reference/specs/a2a): JSON-RPC 2.0 contract for one agent to invoke another across process or network.
- [AgentSchema](https://www.agentskit.io/docs/reference/specs/agent-schema): Typed, validated definition of an agent — adapter, tools, skills, memory, rag, observers.
- [Eval format](https://www.agentskit.io/docs/reference/specs/eval-format): Portable JSON for eval datasets + run results. Tool-agnostic.
- [Generative UI](https://www.agentskit.io/docs/reference/specs/generative-ui): Schema-driven renderers. LLM outputs typed JSON; UI reflects it.
- [Open specs](https://www.agentskit.io/docs/reference/specs): Three portable JSON contracts — Agent-to-Agent, Skill+Tool Manifest, Eval Format.
- [Manifest](https://www.agentskit.io/docs/reference/specs/manifest): Portable packaging for skills + tools. MCP-compatible tool entries.

## Optional

- [Full markdown index](https://www.agentskit.io/llms-full.txt): complete text of every docs page in one file
- [Sitemap](https://www.agentskit.io/sitemap.xml): machine-readable URL list
- [GitHub](https://github.com/AgentsKit-io/agentskit): source + issues