Composable agent runtime with enforced isolation boundaries
Markdown that runs — one file, any agent.
Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.
Open-source customer money path for usage-based SaaS — authorize customer spend before paid work runs.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.

Deterministic safety solutions for probabilistic AI agents

Universal memory runtime for AI agents
Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bots for Slack & Lark/Feishu · Skills are infrastructure, not prompts.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
A Lisp with first-class LLM primitives, implemented in Rust

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support