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agent-squad-typescript

2FastLabs · Бази данни

Use when building or modifying a Node.js / TypeScript app that uses the agent-squad npm package — multi-agent orchestration: orchestrator, agents (all built-in types + GroundedAgent), classifier routing (Bedrock / Anthropic / OpenAI), storage (in-memory / DynamoDB / SQL), retrievers (Amazon KB / Dak

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Платформи: Не са посочениНиво: Не е посоченоВ индекса: 21.09.2026 г.Обновен в GitHub: 18.09.2026 г.

Теми: agentic-ai · agents · ai-agents · ai-agents-framework · anthropic · anthropic-claude · aws · aws-bedrock · aws-cdk · aws-lambda · chatbot · framework · generative-ai · machine-learning · openai

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agent-squad TypeScript — assistant guide

Node.js / TypeScript multi-agent orchestration framework (npm package agent-squad). All public symbols are exported from a single barrel typescript/src/index.ts. This file is guidance and a map — not an API reference. Read exact signatures from typescript/src/ and worked recipes from docs/src/content/docs/; this file tells you what to use, when, and what to watch out for.

When to use what

  • One assistant → a single Agent subclass + AgentSquad with no routing. Or skip the orchestrator entirely and call agent.processRequest(...) directly.
  • Several specialists → multiple agents registered with orchestrator.addAgent(agent), a classifier routes each turn.
  • Answers must not drift from data (prices, balances, live lookups) → GroundedAgent: a gatherer LLM calls tools, an isolated presenter LLM speaks only from the curated results.
  • Fixed pipeline → ChainAgent: each agent's output is the next agent's input.
  • One lead LLM coordinating a team → SupervisorAgent: the lead calls sub-agents as tools.
  • External tools via MCP → MCPToolProvider (async factory pattern, optional peer dep).
  • RAG context → attach a Retriever to any agent that supports retriever? in its options.

How to install

npm install agent-squad

Optional peer dependencies — install only what you use:

PackageUsed by
@aws-sdk/client-bedrock-runtimeBedrockLLMAgent, BedrockClassifier (already a hard dep in current releases)
@anthropic-ai/sdkAnthropicAgent, AnthropicClassifier (already a hard dep)
openaiOpenAIAgent, OpenAIClassifier (already a hard dep)
@modelcontextprotocol/sdkMCPToolProvider — lazy await import() at connect time
@dakera-ai/dakeraDakeraRetriever — lazy require() at construction time

@modelcontextprotocol/sdk and @dakera-ai/dakera are the only two true optional peer deps; everything else ships as a hard dependency at the moment.

How a turn works

routeRequest is the single entry point. It classifies the input, dispatches to the selected agent, saves the exchange, and returns an AgentResponse. The response is either a plain string or a Node.js Transform stream:

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