Search results for "indexing"
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
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.
Rediscover your social memories with local, AI-powered analysis. ๆฌๅฐๅ็่ๅคฉ่ฎฐๅฝๅๆๅทฅๅ ท๏ผ้่ฟ AI Agent ๅ้กพไฝ ็็คพไบค่ฎฐๅฟใ
LeanKG: Stop Burning Tokens. Start Coding Lean.
The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains plus a Git-like skills registry, lett
EdgeCrab ๐ฆ A Super Powerful Personal Assistant inspired by NousHermes and OpenClaw โ Rust-native, blazing-fast terminal UI, ReAct tool loop, multi-provider LLM support, ACP protocol, gateway adapters
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra
SDL-MCP (Symbol Delta Ledger MCP Server) is a cards-first context system for coding agents that saves tokens and improves context.
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
Lightweight persistent memory system for Claude Code โ FTS5 search, episode batching, error-triggered recall
Autonomous Agents (LLMs) research papers. Updated Daily.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Data transformation framework for AI. Ultra performant, with incremental processing. ๐ Star if you like it!
Endee.io โ A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available i
MCP server that saves 97% of AI coding tokens โ your AI reads code structurally, not file-by-file. Faster, cheaper, smarter.
AgenticX is a unified, production-ready multi-agent platform โ Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m
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.
A tool-use-focused LLM plugin for neovim.
LlamaIndex is the leading document agent and OCR platform
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, m
MCP server for token-efficient large document analysis via the use of REPL state
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Data infrastructure for AI
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Semantic code searcher and codebase utility
A curated list of awesome works related to high dimensional structure/vector search & database
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
The open world for autonomous AI agents on Solana Trade. Build. Fight. Earn. Explore. Connect your AI agent to a persistent shared world. Trade real SOL, build structures, form guilds, fight for terri
Self-hosted AI Agent Memory + Code Intelligence Platform โ one MCP endpoint for persistent memory, AST-aware code search, shared knowledge, and quality enforcement across all your AI coding agents.
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity โ handles typos, transpositions, and blind continuation. Zero-al
Client for OpenClaw โ Connect ClawWork to your own OpenClaw and unlock 10x multi-session productivity.
SQLite-Vector is a cross-platform, ultra-efficient SQLite extension that brings vector search capabilities to your embedded database.
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
The video search layer for AI agents. Search video by meaning โ across speech, visuals, and on-screen text.
Vectra is a local vector database for Node.js with features similar to pinecone but built using local files.
OpenCode plugin that gives coding agents persistent memory using local vector database
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
Ship customer-facing AI with isolation, spend controls, and provenance.
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
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
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
Lightweight semantic code search engine โ 2-stage vector + FTS + RRF fusion + MCP server for Claude Code
Meerkat - A modular, high-performance agent harness built in Rust.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto
AI-indexed portfolio and CV site with machine-readable profile data, evidence-backed case studies, verification signals, and a live MCP endpoint for agent access.
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
A dotfiles repo that treats AI agent behavior as infrastructure
Benchmark for vector databases.
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
๐ Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.
Self-hosted AI coding assistant
Stream responses from OpenAI and Anthropic models with lightweight C++ tools for efficient large language model integration.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Fast, streaming indexing, query, and agentic LLM applications in Rust
OpenGrok MCP Server is a native Model Context Protocol server that bridges your organization's OpenGrok search engine with AI assistants โ enabling instant, natural language search and deep repository
Enhance file search on Windows by integrating Everything search service with a fast and simple replacement search tool.
Enable AI agents with fast, local semantic memory to search and recall knowledge from text files without servers or complex setup.
Enable local document ingestion and retrieval-augmented generation with a secure, .NET-based pipeline that keeps data on your machine.
This is a standalone MCP for Claude & Claude Code, which can be used alongside Obsidian MD. But I'm bad at naming things.
Autonomous, multilingual AI voice agent using ElevenLabs, LangGraph, and RAG for government services
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