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AI Infra agents
32,932 AI Infra AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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transformers safetensors mistral text-generation conversational fr
面向企业 Agent LLM Wiki 知识库落地方案与个人 Agent 工作台
ash4d.com is a self-hosted private AI platform for k3s Kubernetes, combining local Qwen3 inference, retrieval-augmented generation, agent tooling, and GPU-enabled services in a GitOps-managed environment.
Agent Skill Evaluation and Evolution: Frameworks and Benchmarks
Event-driven long-horizon memory for real-time wearable AI and LLM agents.
Mi-Memory: A Composable, Evolvable, and Multi-Source Memory System for Daily Assistant Agents
MCP governance server in Go for the Agentic Wiki — knowledge that composes, not that you query
A Rust implementation of LangGraph's state machine framework for building LLM agent applications.
Lugha is a PHP Generative AI Framework to build chatbot, RAG systems and AI-powered applications
Resonant Open System Toolkit (Multi-Agent AI) - Runs on OpenClaw + your custom AI
A complete learning roadmap for becoming a Forward Deployed Engineer (FDE) — covering AI agents, MCP, RAG, evals, deployment, and production AI systems.
群相(Persona Morph)— Windows 微信 PC 端群聊机器人:本地运行,后台消息投递为主(不动鼠标、不要求微信窗口可见),按人设回复;内置角色库/记忆/学习/用量统计,自研控制台全量可视化配置;一键启动零环境要求。非官方产品,与腾讯无关。
🛠️ Chatbot generator for Intelligo Framework.
AI/ML Engineer in progress — LLM, RAG, Computer Vision. Open to full-time AI Engineer roles.
A LangChain-powered multi-agent system with agent routing, skill routing, and execution harness.
LangGraph agent template with MCP.
Liz is a lightweight framework for building AI agents
Lightweight and Flexible Library for Creating Agents and Multi-Agent Conversations 🤖
A lightweight nanobot/OpenClaw variant in pure Julia
Search your favorite websites and chat with them, on your desktop🌐
Self-trained Large Language Models based on Meta LLaMa
一个基于Next.js开发的智能论文筛选工具,帮助研究者快速找到感兴趣的ArXiv论文。
A Next.js template for technical docs with AI chat, out of the box.
New updated extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini
🛠️ Build reliable AI agents and prompts using our open-source tools and models for effective AI engineering. Join the discussion on Discord for insights.
A proof-of-concept for a RAG to query the scikit-learn documentation
网络安全 LLM 智能体应用教程
A convenient framework for developing LLM- and LMM-based web agents. (ACL'24 Demo)
A robust framework for building AI agents with multi-provider LLM support
Swarms for Javascript, the future of AI, where we leverage the power of autonomous agents to create 'swarms' of Language Models (LLM) that work together, creating a dynamic and interactive AI system.
Multi-Agent framework for Godot
Making LLM Tool-Calling Simpler.
A chatbot built with Python and Angular, utilizing POML for prompting and Langchain framework. Angular version 20. Developed by HERE AND NOW AI
chatbot framework that allows for the creation of highly customized models using structured prompts against the base text-davinci models... extends context window via summarization. Donate if you want to see this on GPT-4
A collection of AI related python scripts for things like training, RAG and agents.
Framework for Self-Organizing Python Agents
Framework for building AI agents with real-time adaptive learning capabilities.
Dynamo Multi AI Agent POC: Unlock the Power of Spring AI and LangGraph4J
CLI to generate shell one-liners from natural language using llms
RAG-Buddy: Decrease cost and lower latency for LLM apps
Query Only Linear Adapter Training for Fine Tuned Embedding Model Query Representation
[ACL'25 Main] SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence! | 让你的LLM更好地利用上下文文档:一个基于注意力的简单方案
学习日志记录/笔记,涉及 LLM,AI Agent,客户端、前端、后端等相关领域技能知识
Texas Poker Multi-Agent Game/多智能体德州扑克游戏
Decision-tree backed chatbot framework.
MARU-Lang is an open-source RAG chatbot engine.
Simple LLM agent that just use bash to do all the jobs
This repository contains curated prompts aimed at maximizing the effectiveness of Sora for generating videos.
A fully browser-native RAG application for document Q&A, powered by Rust and WebAssembly with local vector search, embeddings, and in-browser LLM inference.
LLM-based agent for human travel behavior (day-to-day route choice) simulation.
本仓库旨在记录和分享我在 LLM 和 Agent 领域的学习历程,并通过实践项目深入理解相关技术。通过从零开始构建基于 LLM 和 Agent 的应用,学习LLM原理和Agent开发经验。
一个LLM-Agent与PPT项目,支持基于对话式需求进行操作PPT的原生AI应用项目。模型为DeepSeek,基于LLM+VBA调用进行文档操作,轻量级ChatPPT服务。An LLM-Agent and PPT project that supports native AI application projects that operate PPT based on conversational requirements. The model is DeepSeek, which is a lightweight ChatPPT service based on LLM+VBA calls for document operations.
Java Agent Based Modelling toolkit
Wallet-as-a-Service for all AI agents in the world
A self-modifying, TUI and Discord-facing, AI agent harness with parallel tool calling
Generative AI Client for SAP HANA Cloud is an extension of the existing HANA ML Python client library, mainly focusing on GenAI and related use cases. It includes many leading-edge GenAI related open source libraries and provides seamless integration with HANA ML, HANA vector engine, and other SAP GenAI Hub SDK.
brickllm with langgraph
OpenAI model implementation for the ADK-Go
✨ 混合专家模型调度LLM插件 | 混合调度·联网搜索·上下文优化·个性定制·Token节约·更加拟人✨
LLMProxy is an intelligent large language model backend routing proxy service.
[NeurIPS 2025] TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
A lightweight, production-ready multi-agent framework
使用SpringAI+阿里云 OpenAI 聊天模型开发的四个小功能,对应AI技术开发的四种开发框架: 1.聊天机器人 2.哄哄模拟器(纯Prompt问答) 3.智能客服机器人(Agent + Function Calling) 4.ChatPDF(RAG)
StickerSelector 是一个基于语义向量匹配的表情包选择系统,用于让 AI 在聊天中发送真正符合语境的表情包。 与传统依赖关键词或规则的方案不同,StickerSelector 会将 AI 生成的“表情包意图描述”与本地表情包进行语义匹配,从而选出在当前语境下最自然、最像真人会使用的表情。 适用于 AI 聊天机器人、QQ或微信的自动聊天、AI 女友等需要“拟人化表达”的场景。
agx: Run AI coding agents as a persistent team with objectives, memory, and coordinated work. The same agents built this tool — 167+ merged PRs, 93% clean.
A declarative meta-language for orchestrating multi-agent workflows. Readable by humans. Executable by LLMs. Portable across models.
[ICML 2026] This is the official implementation for paper HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
Official implementation of "Think, Then Verify: A Hypothesis–Verification Multi-Agent Framework for Long Video Understanding(CVPR'2026)"
Memory staleness detection and auto-expiry for LLM agents
Agent_Console(智能体控制台)是一个本地运行的 Agent + RAG 工作台。它把文档入库、混合检索、查询改写、工具调用、运行回调和人工审核放在同一个控制台里,适合做企业知识库问答、课程资料检索、客服辅助和可追踪的智能体实验
Production-ready TypeScript SDK for MCP servers: auth, multi-tenant, observability. Build enterprise AI agents fast.
Terminal UI toolkit for agentic and chat apps, built on rich + prompt_toolkit.
A local-first desktop application for AI agent workflows.
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MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
Agente autónomo para LALIGA Fantasy: lee el juego, decide y actúa (pujas, ventas, clausulazos, alineación). Python stdlib + agente LLM opcional (Hermes) + UI de supervisión.
AI-assisted validation toolkit for water, wastewater, and stormwater Utility Network schema mappings.
DeepSeek Harness (DSH) local-first cross-session project memory: zero bundled runtime deps, bounded cache-friendly Hot Memory, BM25 recall/cache, provenance, lifecycle and bilingual Web GUI; no embeddings or external service. / DSH 本地项目记忆插件。
A local-first agent memory lifecycle engine: typed memories in an append-only, integrity-chained log with dedupe, conflict detection, forgetting, compaction, verification, query, and portable export.
MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents
Experience-driven automated environment configuration with LLM agents, speculative execution, and adversarial verification.
A universal memory and wiki knowledge layer for AI agents — structured enough for automation, readable enough for humans.
An AI Assistant on your terminal
Turn your home router into a universal device control hub. Auto-discover, identify, and control everything on your LAN.
Provides LLM with the ability to interact with an Android applications and perform high-level tasks