Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Local-first search across your workspace, built for humans and AI agents.
PostgreSQL extension for BM25 relevance-ranked full-text search. Postgres OSS licensed.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Fast BM25 search in Python, powered by Numpy and Numba
Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!
The First Real-Time Search Analytics Database
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
⚡ DocsAgent — give your AI agents instant, private access to your personal knowledge base (Zotero, Obsidian, Apple Notes supported now, local docs on the road). Native C++ search core: BM25 + passage ranking in ~15 ms. MCP server for Claude, Cursor, Cline & any MCP client.
Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.
Cross-session memory plugin for DeepSeek Harness: seven-layer SQLite store (soul/user/project/fact/lesson/topic/rules), BM25 retrieval, per-window dream consolidation. 跨会话七层长期记忆插件。
🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Local SQLite + Markdown mirrors, autoDream consolidation, 4-way recall (keyword/vector/BM25/entity), and a memory panel. 10 model tools, MCP server, CLI.
A DeepSeek Harness (dsh) plugin — turns dsh web into a SillyTavern-style roleplay frontend: character cards, prompt presets, lorebooks, personas, BM25 long-term memory, world-state deltas, and rollback-able floor operations, all on the dsh agent runtime.
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
Local-first Hermes memory provider on zvec-grep (hybrid BM25+vector RRF over Markdown vault)
Local document Q&A in your terminal — powered by on-device LLMs.
Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB. Nothing leaves your machine.
一个开箱即用的完整智能客服服务:基于 FastAPI + LangChain RAG + CrewAI 多 Agent 构建, 提供意图识别路由、知识库问答、多智能体协作、SSE 流式对话等核心客服能力,并内置 检索工程(BM25+RRF+reranker)、稳定性工程(重试/限流/语义缓存)、可观测性(实时监控控制台) 与效果评估体系(RAGAS 评测闭环),可直接部署上线,也可作为独立 AI 服务被现有业务系统(如 Spring Cloud / Node.js 后端)通过 HTTP/SSE 集成调用。
本地私有化智能文档问答系统:BM25+向量混合检索、本地 Rerank 重排、完全离线、数据零外传(LangChain + Ollama + ChromaDB)
AdalFlow Alternative 2026: Auto-Optimize LLM Apps Without Code
Build & Auto-Optimize LLM Apps in 2026: The Ultimate AdalFlow Guide
Local-first document requirements and evidence review workbench with traceable citations and human review.
A full-featured search engine in Rust. Local filesystem + web crawl, BM25+PageRank ranking, BPE query language, bangs, Tor mode, HTTP/WebSocket API, and a privacy-first frontend.
Self-hosted AI workbench for a company LAN. One command on a Windows server sets up login, roster, model gateway, company disk and knowledge base; each employee's agent works on their own PC while model keys stay on the server. 一键安装的局域网 AI 工作台。
Open-source vector database and sub-microsecond key-value store in one Go engine — embed it as a library, run it standalone, or replicate it across a Raft cluster. HNSW/IVF/Vamana indexes, quantization, hybrid dense+sparse and BM25 search, WASM stored procedures. Apache-2.0.
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。
Agent Session Hub: search, cite, resume and hand off local Claude Code, Codex, OpenCode, Pi, Grok and OMP sessions. Trajectory over summary. Lineage graph. Local FTS/BM25. Not Microsoft Mobius.