CrewForm/crewform

MCPcommunity
CrewFormAGPL-3.0Updated 1mo agoGitHub

Build your AI team with Crewform. Orchestrate specialized, autonomous agents to collaborate on complex tasks and connect outputs to your stack. — AI Orchestration for Everyone

Self-hostable agent orchestration runtime with MCP + A2A + AG-UI CrewForm helps teams build, run, and observe multi-agent systems across tools, agents, models, memory, workflows, and frontends — without vendor lock-in. Website · Docs · Discord · Twitter If you find CrewForm useful, please consider giving it a ⭐ — it helps others discover the project! Design, run, and observe protocol-native agent…

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38GitHub stars
6Forks
1mo agoLast update
Package
AuthorCrewForm
LicenseAGPL-3.0
Sourcegithub
GitHubCrewForm/crewform
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
—CVE scan · not run+0/30
→ Not yet scanned — package must be on npm
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Self-hostable agent orchestration runtime with MCP + A2A + AG-UI CrewForm helps teams build, run, and observe multi-agent systems across tools, agents, models, memory, workflows, and frontends — without vendor lock-in. Website · Docs · Discord · Twitter If you find CrewForm useful, please consider giving it a ⭐ — it helps others discover the project! Design, run, and observe protocol-native agent workflows from one visual runtime. Create agents with models, prompts, and tools Chain agents into…

Keywords
a2a-protocolag-ui-protocolagentagentsaiai-agentsai-collaborationai-orchestrationautomationllmsmcpmcp-protocolopen-sourceorchestrationragreactself-hostedsupabasetypescriptworkflow