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fastagency
by ag2ai
Fast Python framework for building and deploying multi-agent workflows
Python
Updated Feb 23, 2026
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How It Works
Enable multi-agent workflows and deploy them to production quickly. Provides a lightweight Python framework for composing agents, routing messages, and running task delegations with minimal boilerplate. Distinctive for its focus on speed and pragmatic runtime primitives for orchestration and coordination. This aligns with the Hierarchical Multi-Agent Pattern.
Key Benefits
As agents delegate work to each other, teams need predictable coordination and a way to observe which agents succeed or fail. FastAgency makes it easy to compose and run multi-agent pipelines so you can gather interaction traces and surface reliability issues. That visibility is a prerequisite for building agent-to-agent evaluation and reputation systems like RepKit. This approach benefits from Evaluation-Driven Development (EDDOps) and Tree of Thoughts Pattern to structure reasoning and evaluation flows.
Target Use Cases
Teams who want to assemble, test, and ship multi-agent orchestration pipelines with low overhead. Consider adopting the Agent Service Mesh Pattern to manage communication, routing, and policy across agents.
Use Cases
- Compose specialist agents into an end-to-end workflow with delegated subtasks
- Run production agent pipelines with lightweight message routing and retries
- Collect interaction traces for downstream agent-to-agent evaluation and reliability analysis
Works With
autogen
Topics
autogenllmmesopmultiagent
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autogencrewai
Keywords
multi-agent orchestrationmulti-agent trustagent delegationautogen