22 packages found
BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Let
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous wor
A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.
A multi-agent chatroom for AutoGen agents
Declare the outcome, skip the logic. The developer-first infrastructure engine for structured, multi-turn AI conversatio
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agen
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline wo
Multi-agent cryptocurrency intelligence system built with Claude Code. 6 AI agents, 66 MCP tools, Agent Teams, zero orch
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Bu
Autonomous yield for AI agents on Base. 80% liquid, 20% earning. No lockup. One SDK call.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, a
Headless Beeper Desktop in Docker. One config, 50+ messengers — WhatsApp, iMessage, Signal, Telegram, Discord, Slack, an
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflo
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
langchain 工具,流程设计组件,服务,代理以及相关学习文档的合集(agent,service,tutorials,flow-design)
arifOS — Constitutional MCP kernel for governed AI execution. AAA trinity: AGI (Mind) · ASI (Heart) · APEX (Judge). Buil
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, an
🚀 Curated list of x402 resources: HTTP 402 Payment Required protocol for blockchain payments, crypto micropayments, AI
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides,
An MCP client library for building conversational AI applications with dynamic tool discovery for context-efficient agen
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework