2FastLabs/agent-squad
Flexible and powerful framework for managing multiple AI agents and handling complex conversations observed · 2026-08-28
Health v2 · maintenance only
87/100
- Activity 97
- Release rhythm 93
- Longevity 55
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 5
- age_days: 771
- days_rel: 50
- days_push: 18
- n_releases_24m: 26
Adoption not part of the score
7748 stars · 740 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Agent Squad is an open-source framework for orchestrating multiple AI agents, routing each user query to the most suitable specialized agent via intent classification while maintaining conversation context. It offers Python, TypeScript, and Swift runtimes, with pre-built agents for Bedrock, Anthropic, OpenAI, Lex, and Lambda, plus extensible interfaces for custom agents, classifiers, storage, and retrievers.
Use cases
- route user queries to specialized AI agents automatically
- build a multi-agent chatbot with shared conversation context
- orchestrate agents across AWS Bedrock, Anthropic, and OpenAI
- run agent orchestration on-device on iOS or macOS with Swift
- add MCP tools and realtime voice to an agent pipeline
- deploy a serverless multi-agent assistant on AWS Lambda
- stream agent responses in a chat application
When to choose
- you need multiple specialized LLM agents behind a single conversational interface
- you want pluggable classifiers, storage backends, and retrievers without vendor lock-in
- you're deploying on AWS (Lambda, Bedrock, DynamoDB) or need Python/TypeScript parity
- you want on-device agent orchestration with MCP tools and voice on Apple platforms
When to avoid
- you need a single simple LLM call with no routing or agent logic
- you require a full agent workflow/autonomy engine with long-running task planning
- your stack doesn't include Python, TypeScript/Node.js, or Swift
Facets
framework · maturity active
agent-framework chatbot llm-inference rag mcp sdk large-language-models chatbots developer-tools cross-platform python serverless cross-platform multi-agent-orchestration intent-classification aws-bedrock anthropic openai streaming conversation-management on-device-ai ai-agents nodejs swift ios macos
2 sources
- readme: https://github.com/2FastLabs/agent-squad · fetched 2026-08-28 · 8fe79ddc93ba
- homepage: https://2fastlabs.github.io/agent-squad/ · fetched 2026-08-29 · 1b38160221c2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| 2FastLabs/agent-squad | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="2FastLabs/agent-squad")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem