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ToolExperimentalA2AAG-UIMCP
crewform
by CrewForm
Protocol-first orchestration for teams of autonomous agents
TypeScript
Updated Aug 18, 2026
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Summary
Orchestrates teams of specialized, autonomous agents and routes their outputs into your stack. Uses TypeScript and protocol-first building blocks (A2A, MCP, AG-UI) to let agents collaborate, delegate subtasks, and surface results to web apps or databases. Distinctive features include a UI-oriented protocol surface and connectors for persisting outputs to services like Supabase. Agent-to-Agent Protocol (A2A)
Why It Matters
As agents coordinate more complex work, you need infrastructure to define workflows, observe delegation, and capture who did what — not just performance numbers. Crewform makes agent collaboration visible and connectable, enabling teams to record agent interactions and outputs that are later useful for reputation, auditing, and post-hoc evaluation. By instrumenting agent handoffs and outputs at the orchestration layer, it creates signals that can feed multi-agent trust Mutual Verification Pattern and agent-to-agent evaluation systems Trust Signal.
Ideal For
Teams building web-first, self-hosted multi-agent flows that need protocol-level coordination and integration with app backends. This can be complemented by adopting the Sub-Agent Delegation Pattern to manage task distribution across agents.
How It's Used
- Coordinate specialist agents to decompose and solve complex tasks with delegated subtasks
- Persist agent outputs and conversation traces to a backend (e.g., Supabase) for auditing or downstream processing
- Embed an AG-UI-compatible interface into web apps to visualize agent workflows and handoffs
Works With
reactsupabasetypescript
Topics
a2a-protocolag-ui-protocolagentagentsaiai-agentsai-collaborationai-orchestrationautomationllms+10 more
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autogencrewai
Keywords
multi-agent orchestrationagent delegationmulti-agent trustagent interaction logging