Developer Tools / AI Infrastructure
Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.
The page clearly presents an AI infrastructure product with a specific purpose: governance, security, compliance, and observability for AI agents. The README gives enough detail to understand the architecture, deployment model, target users, and how to try it locally, including a quick start and a demo. It also shows concrete integration points like Kubernetes, MCP, A2A, mTLS, and support for multiple agent frameworks, making it useful for AI builders and operators.
The crawl does not show maintenance signals beyond a few commits and files, so it is hard to judge project maturity. It also leaves some implementation details open, such as exact supported integrations, limits of the guardrails, and what the UI or demos look like in practice.
Last evaluated 26 days ago. Current rank #60. Down 3 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
