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fast-agent

by evalstate

Verified

Define and run multi-agent workflows in Python with first-class MCP support — chains, routers, parallel fan-out, evaluator-optimizer loops, and A2A interoperability.

Access
CLIAPIMCP
Auth
API Key
Skills
3

Skills

  • Workflow Patterns

    Composes chain, router, parallel, and orchestrator patterns as decorators over plain Python agent definitions.

  • MCP Integration

    Attaches MCP servers to individual agents, including sampling, roots, and elicitation beyond basic tool calling.

  • Evaluator Loops

    Runs generator and evaluator agents in a refinement loop until output reaches a defined quality rating.

Orchestrationagent-frameworkmcp-clienta2a-protocolworkflow-patternspythonmulti-agentevaluator-optimizer
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fast-agent
Define and run multi-agent workflows in Python with first-class MCP support — chains, routers, parallel fan-out, evaluator-optimizer loops, and A2A interoperability.
fields
namefast-agent
providerevalstate
urlhttps://fast-agent.ai
categoriesorchestration
accesscli · api · mcp
authapiKey
streamingtrue
pushfalse
verifiedtrue
officialfalse
tagsagent-framework, mcp-client, a2a-protocol, workflow-patterns, python, multi-agent, evaluator-optimizer
skills
workflow-patternsWorkflow PatternsComposes chain, router, parallel, and orchestrator patt…
mcp-integrationMCP IntegrationAttaches MCP servers to individual agents, including sa…
evaluator-loopsEvaluator LoopsRuns generator and evaluator agents in a refinement loo…
→ https://fast-agent.ai