Topics / #policy-engine

Policy-engine projects on GitHub

A decision service evaluating rules and policies to authorize or restrict actions.

As of , the most-starred Policy-engine projects on GitHub are agent-governance-toolkit (6.4K stars), executor (4.2K stars) and OpenAPPA (1.6K stars). GitHub.Locker tracks 5 Policy-engine repositories with 13.7K stars combined. The fastest-growing on October 17 was omnigraph, with +10 stars in a day.

5Projects
13.7KStars in total
+19Stars in a day
Browse in the catalog →github.com/topics/policy-engine ↗

Hot right now

Most stars gained in a day · Oct 17

+10

omnigraph

ModernRelay/omnigraph · ★ 1.3K

Omnigraph is a lakehouse-native graph database that acts as the operational state and coordination layer for fleets of AI agents, combining graph traversal, vector search, and full-text search with Git-style branching so many agents can enrich a shared knowledge graph safely.

+4

executor

UsefulSoftwareCo/executor · ★ 4.2K

An open-source integration layer for AI agents: configure each integration (MCP servers, OpenAPI specs, GraphQL APIs) once with auth and per-tool policies, and every MCP-compatible agent shares the same catalog instead of keeping its own copy.

+4

OpenAPPA

archestra-ai/OpenAPPA · ★ 1.6K

OpenAPPA is a deterministic guardrail layer that sits between an AI agent and its tools, checking every tool call to decide whether the data involved is allowed to reach that destination.

+1

agent-governance-toolkit

microsoft/agent-governance-toolkit · ★ 6.4K

A toolkit from Microsoft that governs autonomous AI agents in production: it enforces policies on tool calls, verifies agent identity, sandboxes execution, and provides SRE controls like kill switches and SLO monitoring. It covers all 10 of the OWASP Agentic Top 10 risks.

The all-time top

5 projects · by stars

  1. #1 · microsoft/agent-governance-toolkit

    agent-governance-toolkit

    A toolkit from Microsoft that governs autonomous AI agents in production: it enforces policies on tool calls, verifies agent identity, sandboxes execution, and provides SRE controls like kill switches and SLO monitoring. It covers all 10 of the OWASP Agentic Top 10 risks.

    6.4K
  2. #2 · UsefulSoftwareCo/executor

    executor

    An open-source integration layer for AI agents: configure each integration (MCP servers, OpenAPI specs, GraphQL APIs) once with auth and per-tool policies, and every MCP-compatible agent shares the same catalog instead of keeping its own copy.

    4.2K
  3. #3 · archestra-ai/OpenAPPA

    OpenAPPA

    OpenAPPA is a deterministic guardrail layer that sits between an AI agent and its tools, checking every tool call to decide whether the data involved is allowed to reach that destination.

    1.6K
  1. 4

    omnigraph

    1.3KModernRelay/omnigraph · Rust

    Omnigraph is a lakehouse-native graph database that acts as the operational state and coordination layer for fleets of AI agents, combining graph traversal, vector search, and full-text search with Git-style branching so many agents can enrich a shared knowledge graph safely.

  2. 5

    docker

    165decionis/docker · Go

    Decionis for Docker is an execution-authority layer for AI agents: before an agent performs a sensitive action like deploying infrastructure or calling a privileged MCP tool, it checks a deterministic policy and returns PROCEED, HOLD, or BLOCK.

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