Trigger.dev – build and deploy durable AI agents and workflows
AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.
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.
TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
The functional, composable, and typescript-first AI Agent framework for real-world LLM Apps.
The original Tiny Claw as your personal autonomous AI companion. 🐜
小龙虾 openclaw 的 onebot 接入框架，可用于接入 QQ
Create custom DevOps AI agents that understand and manage your infrastructure.
Open-source web dashboard for OpenClaw AI agents — Shared browser, Google auth, manage flows, tasks, agents, chat, skills, channels.. Self-host or use managed.
Open-source platform for building and running AI agents. TypeScript monorepo. SDK and client libraries MIT-licensed; server components AGPL-3.0.
Flow-dedicated autonomous AI agents powered by the ElizaOS framework. Build and deploy AI agents that live on the Flow network with persistent on-chain state.
An open, natural-language DSL for self-correcting AI coding loops — say what an AI coding agent should build and how to verify it in plain English, and it loops until the check passes. Runs in Claude Code, Cursor, and Copilot.
Local-first multi-engine AI agent dashboard — Claude Code, Codex & built-in ReAct in one window. MCP support, skills auto-loading, long-term memory. No account, no relay.
TypeScript AI SDK for building AI agents with any LLM — OpenAI, Claude, Gemini & more. Open-source alternative to Claude Agent SDK.
Your own self-hosted AI agent OS
Leno AI - Open-Source Multi-Agent Framework. For educational purposes.
A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.
The first of a kind "AGENT AS A BACKEND" : Advanced AI/ML Agent Framework with TypeScript support, multi-model capabilities, vision controls, and comprehensive AI/ML model support including LLM, SLM, MLM, Vision, ASR, TTS, RL, GNN, RNN, CNN, GAN, Diffusion, Transformer, MLP, Autoencoder, BERT, RAG, Hybrid, Foundation, and fine-tuning
A Model Context Protocol Server facade to simplify the implementation of agents
TypeScript harness for building personal AI agents with durable memory — agents that live across your channels (CLI, Teams, iMessage, mail, voice), use real tools, and stay coherent across turns. The runtime behind @ouro.bot.
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