ai-agent-permissions

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decionis / agent-safe-pipeline

Reference architecture for AI agents that propose actions but cannot authorize them — immutable intent capture, an independent Decionis policy verdict (ALLOW/ESCALATE/BLOCK), verified human approval, and a SafeExecutor that consumes a single-use intent-bound grant.

typescript mcp authorization reference-architecture ai-safety human-in-the-loop ai-agents policy-as-code ai-governance agentic-ai decionis ai-agent-permissions

Updated Aug 15, 2026
TypeScript

decionis / mcp

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Decionis MCP policy tools and native Claude Code, Codex, and Copilot execution hooks — evaluate agent actions against DECIONIS_POLICY.md before they run. npx -y --package=@decionis/mcp decionis-mcp

mcp cursor copilot codex ai-agents policy-as-code ai-governance agentic-ai model-context-protocol mcp-server claude-code decionis ai-agent-permissions

Updated Aug 14, 2026

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