Llm Applications

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

MCP server for enabling LLM applications to perform deep research via the MCP protocol

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Comprehensive developer guide covering prompt engineering, agent orchestration, LLM application architecture, and evaluation formulas.

Lightweight, easy-to-use engine to get up and running with Llama 3, Mistral, Gemma, and DeepSeek locally on CPU and Apple Silicon.

Learn AI Engineering! Learn it. Build it. Ship it for others.

Official Model Context Protocol server for Chroma, exposing semantic embeddings search, vector collection management, and document querying.

Iterative, graph-based autonomous research agent with reflection, web search verification, and structured report compilation.

Collection of specialized AI subagents for Claude Code for personal use (full-stack development).

Autonomous coding workflow that generates implementations, runs unit test executions, and self-corrects runtime stack traces.

🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.

An open-source AI-powered frontend development platform built on DeepAgents and LangGraph. Generate complete React applications through natural language conversations.

Collection of specialised Claude Code agents

Faucet is an open-source, single-binary server that turns any SQL database into a secure, governed REST API with role-based access control and native MCP support for applications and AI agents.

Public repository of AI coding skills, curated improved best-practice skills, and runtime surfaces for CLI, API, MCP, and A2A.

A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.

Easiest and laziest way for building multi-agent LLMs applications.

China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.

The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

[NAACL2025] LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications

Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included

A lightweight AI agent framework for vertical domain applications | 面向垂域应用的轻量级 AI Agent 框架

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.