Search results for "retrieval"
Microsoft Azure Identity Library for Python
Microsoft Azure Cognitive Search Client Library for Python
Python framework for fast Vector Space Modelling
Interface between LLMs and your data
Embeddings, Retrieval, and Reranking
Open Source AI Platform - AI Chat with advanced features that works with every LLM
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
The memory system your AI agent deserves. 4-stage hybrid retrieval — Vector + BM25 + Knowledge Graph + Neural Reranker — in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
Token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.
Harness LLMs with Multi-Agent Programming
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec
"RAG-Anything: All-in-One RAG Framework"
High-Performance Engine for Multi-Vector Search
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The Context Optimization Layer for LLM Applications
Autonomous AI agent with persistent memory, self-learning, and earned autonomy. Cognitive partner that remembers, learns, and evolves.
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when
DSPy: The framework for programming—not prompting—language models
Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-us
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, R
AI Observability & Evaluation
Official MCP Servers for AWS
The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.
423 plugins, 2,849 skills, 177 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
LlamaIndex is the leading document agent and OCR platform
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generat
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Memori is agent-native memory infrastructure. A SQL-native, LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
KohakuTerrarium is a general-purpose AI agent framework and batteries-included app for building, running, and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, pe
Universal memory layer for AI Agents
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi
Declarative Agent Orchestration. Ship while you sleep.
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
Autonomous knowledge base plugin for Claude Code - captures reserch, ideas, and decisions into an interlinked wiki with reserch-on-miss, semantic search, and a Wikipedia-style web UI. Knowledge compou
AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo
Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills package， enabling any AI agent to instantly upgr
A high-throughput and memory-efficient inference and serving engine for LLMs
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
OpenTelemetry Instrumentation for AI Observability
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
An open-source AI assistant framework with skills and agent architecture
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features
AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, v
Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding a
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Give your AI agents persistent memory.
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
PowerMem: Your AI-Powered Long-Term Memory — Accurate, Agile, Affordable. Also friendly support for the OpenClaw Memory Plugin.
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MC
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq instal
Unified framework for building enterprise RAG pipelines with small, specialized models
Open-source multi-agent AI assistant powered by LangGraph, FastAPI & Next.js — 16+ agents, Human-in-the-Loop, MCP integration, voice TTS, RAG, 500+ metrics, 6 languages.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.). Features multi-model consensus via OpenRouter and context-aware reviews via Serena.
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
PinchBench is a benchmarking system for evaluating LLM models as OpenClaw coding agents. Made with 🦀 by the humans at https://kilo.ai
OpenClaw reimagined in pure Python — autonomous AI agent with memory, RAG, skills, web dashboard, voice input, daemon, and multi-channel support.
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
RAGElo is a set of tools that helps you selecting the best RAG-based LLM agents by using an Elo ranker
AI Agent Backend Platform on FastAPI — MCP server + AI orchestration + async DDD architecture. Zero-boilerplate CRUD, auto domain discovery, 14 Claude Code AI development skills.
JRVS AI Agent with JARCORE autonomous coding engine - RAG knowledge base, web scraping, calendar, code generation. Powered by whatever local AI you choose.
Buddhist Digital Text Platform — 9,200+ texts, 500+ sources, 8 UI languages, AI Q&A (RAG), knowledge graph, full-text search
LightAgent: Lightweight AI agent framework with memory, tools & tree-of-thought. Supports multi-agent collaboration, self-learning, and major LLMs (OpenAI/DeepSeek/Qwen). Open-source with MCP/SSE prot
TrustRAG：The RAG Framework within Reliable input,Trusted output
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Agentic RAG R1 Framework via Reinforcement Learning
Multi-agent memory consistency platform. We're hiring contributors—check HIRING.md
One API for 20+ LLM providers, your databases, and your files — self-hosted, open-source AI gateway with RAG, voice, and guardrails.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Self-evolving deep research system for Claude Code. Zero API keys.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe
A SEC EDGAR MCP (Model Context Protocol) Server
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
Lightweight, embedded graph-based memory system for AI applications. Fast (<3ms recall), offline-first, with MCP server support for Claude and other AI tools.
Supercharge Your LLM Application Evaluations 🚀
Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®
A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules — running loca
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
A curated list of products, benchmarks, and research papers on autonomous code agents. Beyond coding — they're redefining how software changes the world.
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
[NeurIPS 2024 D&B] GTA: A Benchmark for General Tool Agents & [arXiv 2026] GTA-2
3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" — solo operator managing 137 devices
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Automated security investigation tool using Microsoft MCP Servers, GitHub Copilot, Python Modules and custom copilot-instructions.
This project implements a comprehensive framework for Knowledge Graph Retrieval Augmented Generation (KG-RAG). It focuses on financial data from SEC 10-Q filings and explores how knowledge graphs can
Framework for AI agents to build and maintain an Obsidian wiki using Karpathy's LLM Wiki pattern
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.
🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph
The Developer's Guide to AI - A Field Guide for the Working Developer
Markdown-first work-memory protocol for existing agents, with maintained knowledge, candidate notes, evals, and an example KB.
Self-hosted personal AI agent that lives in your DMs. Describe any workflow: triage Gmail, pull a Giphy feed, build a Slack bot, monitor markets. It writes the code, runs it, schedules it, and saves i
Paper-first SPY options validation platform with broker-backed scorecards, hard risk gates, paired-trade accounting, and live dashboards.
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
AI skills that turns coding agents into UiPath experts.
A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
LLM-powered Agent Runtime with Dynamic DAG Planning & Concurrent Execution
The ultimate playground to learn, experiment with, and compare modern open-source AI agent frameworks — from basics to production-ready setups.
🤖 The most comprehensive directory of AI agent frameworks, platforms, tools, and resources - hundreds of curated entries covering open-source, no-code, enterprise, and autonomous solutions. NEW Boil
The LLM Evaluation Framework
A Multi-Agentic AI Assistant/Builder
[Community Supported] Perforce P4 MCP Server is a Model Context Protocol (MCP) server that integrates with the Perforce P4 version control system.
Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine — zero data sent to external services.
One memory layer for every AI agent. Local-first, markdown source of truth, and CLI/HTTP/MCP native. Your agent forgot who you are. Again. Dory fixes that.
Search your files by talking to them - 100% offline
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.
A tool that compiles messy natural language prompts into a structured intermediate representation (IR) and optionally sends them to LLMs like ChatGPT for cleaner, more reliable responses.
220+ Claude Code skills & agent plugins for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory.
Ship customer-facing AI with isolation, spend controls, and provenance.
Connect any LLM to OpenClaw — production-tested middleware for Qwen3-235B and beyond
Lightweight hallucination detection framework for RAG applications
# Manga-Autonoma (powered by nano-banana-2) Autonomous AI 4-panel manga production system using Gemini API. / Gemini APIを活用した、完全自律型AI4コママンガ制作システム。
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
Assistant IA avancé (RAG, outils, Légifrance, OCR, skills, export de fichiers, historique) conçu principalement pour un usage avec AlbertAPI (DiNum)
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
Second Brain is a desktop application that acts as a personal knowledge base, using retrieval-augmented generation (RAG), multimodal AI models, and a hybrid lexical/semantic search algorithm to intera
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
FlexRAG: A RAG Framework for Information Retrieval and Generation.
Broken RAG For The Broken Souls
arXiv MCP Server Client 🐙 enables AI assistants to search, retrieve, analyze, and summarize arXiv papers with features like author/category browsing, trends, and citation insights.
JSON Agents - A universal JSON-native standard for describing AI agents, their capabilities, tools, runtimes, and governance in a portable, framework-agnostic format. Based on RFC 8259, JSON Schema 2
CloneMe is an advanced AI platform that builds your digital twin—an AI that chats like you, remembers details, and supports multiple platforms. Customizable, memory-driven, and hot-reloadable, it's th
The open framework for extensible & grounded AI agent orchestration.
🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
Autonomous coding agent with web research (Recon), adversarial plan debate, 5-tier cognitive memory, multi-model routing (Gemini + DeepSeek + Ollama), 24/7 loops, and $0 local mode. Apache 2.0.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help studen
🤖 Transform internal knowledge retrieval with a secure, on-premise RAG-powered chatbot that enhances efficiency through natural language queries.
🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.
🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt
Complete Workspace Template for OpenClaw - Full agent lifecycle with unified memory system (Markdown + SQLite), self-evolution, RAG. Not for SubAgent/Skill use.
🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
🧠 Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
🔍 Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.
🚀 Build and scale reliable Retrieval-Augmented Generation (RAG) systems with this curated collection of tools, frameworks, and best practices.
PromptManager is a desktop application for cataloguing, searching, and executing AI prompts, and much more.
Autonomous, multilingual AI voice agent using ElevenLabs, LangGraph, and RAG for government services
Enable any language model with permanent, searchable memory using a lightweight middleware for on-demand retrieval and continuous learning.
An AI-driven hybrid algorithmic trading bot that dynamically switches between mean-reversion and trend-following strategies based on market regimes, powered by Google Gemini.
🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
⚡ Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.
Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock
Efficient Retrieval Augmentation and Generation Framework
llama-index indices llama-cloud integration
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized
Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.