Harness-oriented agent system framework for production-grade LLM agent applications
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Updated
Sep 4, 2026 - TypeScript
Harness-oriented agent system framework for production-grade LLM agent applications
fullstack chat agent with authentication, request credits and payments built in
Live DevTools for your running React + TanStack app — driven from the terminal by your AI agent, through one CLI
JS bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP
Self-hosted AI agent server. Multi-LLM (OpenAI/Claude/Ollama), MCP tools, long-term memory, multi-agent ReAct, Lark/Feishu, Wecom/Wechat, Web UI.
Build LLM ReAct Agent framework from scratch in Python
n0x CLI is my go-to Claude Code alternative when I’m on a budget.
A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol
Open-source platform for building your agentic org chart: each agent gets its own sandboxed Docker workspace, tools, HTTP API, and MCP endpoint.
Intelligence without consciousness. Process without self. Scale without limit.
Thesis project exploring Decoupled Multi-Agent systems as event-driven microservices approach (BSc, National University of Mongolia).
AI-powered Booking.com agent, built with LangGraph Studio — integrating APIs and featuring modern UI components.
面向安全靶场的自主渗透 Agent:ReAct 双层架构 · 三层记忆 · 可自我扩展的 pentool 工具注册表,内核为 600 行 TypeScript nano-pi
Production-grade AI café assistant, Express + LangGraph ReAct agent with scenario-aware prompt assembly, memory compaction, and a structured lead-capture reservation workflow. Powered by DeepSeek, TypeScript, and React.
⚡ AI-powered smart contract factory — type plain English, get compiled, audited & deployed Solidity/Anchor contracts in <45s
A lightweight, streaming-first ReAct (Reasoning + Acting) agent that works with any LangChain-compatible model. Focus on agent logic while LangChain handles the provider complexity.
ReAct agent orchestrator with real-time SSE streaming — Angular 18 (Zoneless), Node.js/Express, Qwen 2.5 Coder (optional)
µagent — local ReAct coding agent for 7B/8B small models. 100% local, no third-party API, runs on your machine.
Self-built ReAct loop for DeepSeek. First to round-trip reasoning_content as core design (40-60% token savings). Zero-framework TS+Bun binary. Part of the Loop Engineering family.
A lightweight AI coding agent that learns project-specific rules, coding style and lessons through a local .ia/ memory system.
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