js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
Global
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do?
> Ingest your enterprise data, extract what matters, build a Context Graph and knowledge graph (KG), and run graph analytics and causal reasoning over all of it, with full decision provenance baked in. Explainable, traceable, and trustworthy by design.
Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
#2462 · +9 · 1d ·GitHub
> New here? md — install in 60 seconds. This README is the full reference.
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.
#6247 · +1 · 1d ·GitHub
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of an AI-native knowledge platform.
#7995 · +0 · 1d ·GitHub
Agent-Safe Pipeline is the reference implementation of the Execution Authority architecture: AI-agent actions execute only through an independent authorization boundary, and every authorization decision leaves a verifiable evidence record.
#8005 · +0 · 1d ·GitHub
TIP] > This is a source-grounded course for engineers who need to make architecture decisions under real constraints. Complete the engineering foundation first if you cannot yet trace, debug, disassemble, structure, and review production-shaped services.
A Geiger counter for AI agents — one read-only command that inventories every agent, MCP server, plugin, and AI extension on a machine
When an agent attempts a sensitive action—such as deploying infrastructure, modifying production data, publishing a package, invoking a privileged MCP tool, or performing another governed operation—Decionis evaluates the proposed action against deterministic, versioned policy…