Local-first AI agent runtime with sandboxed sessions, MCP tools, memory, credentials, audit/replay, and a built-in console. Run OpenAI, Anthropic, MiniMax, DeepSeek V4, and OpenAI-compatible models on your infrastructure.

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

Enables MCP clients to run project-scoped video editing workflows: propose and approve editing strategies, apply validated plans, review immutable versions, and export final renders via FFmpeg, with durable persistence and approval gates.

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

Compatibility package for Correctover runtime security. The legacy standalone MCP server has been replaced by correctover-mcp-gateway; the runtime SDK is available as correctover.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

🛡️ The approval and policy layer for AI agents. Intercept risky actions before they run, block them, or approve them remotely.

MCP Server Framework and Tool Development library for building custom capabilities into agents.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime

The agent runtime for React Native and Expo: an MCP server that sees the app the way React sees it, knows which file produced each element, acts without coordinates, and proves it works. Local only, zero dependencies.

The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches

RMCP runtime for provider-backed agents with CLI, REST, HTTP MCP, plugins, and scaffold support.

Wassette: A security-oriented runtime that runs WebAssembly Components via MCP

Your personal AI runtime, local-first. Patchwork OS gives any AI model a consistent set of tools, YAML recipes, a delegation policy with approval queue, and a durable trace memory — all on your machine, all under your policy.

Lower-level WorkPaper formula runtime for Node services with JSON persistence and verified formula readback.

Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.