claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Action-level governance for AI agents -- control what they DO, not what they SAY
claude mcp add agent-guardrail -- uvx agent-guardrail
Imposes action-level controls on agent behavior, focusing on what tools or operations an agent may execute rather than only filtering text output. It is for teams running autonomous or semi-autonomous agents that need enforceable operational boundaries. The positioning is sensible and the PyPI packaging helps, but the project shows limited public maturity signals here, so its policy model and failure modes should be tested before relying on it for high-stakes governance.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Draw and visually collaborate with your agents on tldraw's canvas.
Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.
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AI Agents Framework with Self Reflection and MCP support