Guide
Trust Checks
Check metadata source, corpus coverage, D1 availability, sync freshness, classification evidence, and quality signal confidence before making production decisions.
Git.Top Guide
Use Git.Top coverage, quality governance, sync status, and confidence signals before trusting project recommendations.
Guide
Check metadata source, corpus coverage, D1 availability, sync freshness, classification evidence, and quality signal confidence before making production decisions.
Guide
Operators and agents can combine /status, /coverage, /quality, /quality/review, and get_quality_report to understand data readiness and risk.
Data Source
1226 loaded projects. Generated at 2026-11-11T00:12:46.822Z.
Project
Evaluation package that allows benchmarking of agentic AIs from various sources and frameworks by producing statistical results which can be compared across different use cases and datasets.
Project
OpenTelemetry-native SDK for AI agent observability, tracing, evaluation, debugging, governance, and runtime policy enforcement. Framework-agnostic and built for OpenAI Agents, LangGraph, CrewAI, and LLM applications in production.
Project
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Project
Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.
Project
Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evidence. Drop-in rules and guardrails for Claude Code, Codex, Cursor, Copilot, and Antigravity, via AGENTS.md.
Project
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
Collection
📚 A curated list of papers & technical articles on AI Quality & Safety
Project
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
Project
Self-hosted runtime control plane for AI agents. Observe or HITL approve or Block rogue tool calls before it executes: secret leaks, prompt injection, supply chain etc in a local dashboard. Agent agnostic (Claude, codex, langchain etc.)
Project
The all-in-one AI workforce platform, to build AI agent teams. You are the boss.
Project
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.