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XERJ, kod ve dokümanları yerel olarak indeksleyip agent ve uygulamalar için arama, RAG ve bellek işlevleri sunan Rust tabanlı bir arama motorudur.

Neden yükseliyor · 90 günlük yaşına karşılık 2.496 yıldız ve son 28 günde 307 commit dikkat çekiyor. README, belirli bir coding-agent çalışmasında aynı çözüm oranıyla 2,7 kat daha az output token ölçüldüğünü bildiriyor; bu sonuç proje tarafından yayımlanan bir çalışmaya dayanıyor ve bağımsız doğrulama bilgisi verilen içerikte net değil. Yüksek commit sayısına rağmen dönemde yalnızca 2 farklı yazar bulunması aktivitenin dar bir ekibe bağlı olabileceğini gösteriyor.

Governance runtime for Claude Code. Enforces workflow gates at tool time, delivers the engineering rules relevant to the work, and preserves

Embedded retrieval library built on Parquet. Fast, efficient, and scalable.

Chat with the videos you've saved: evidence-backed answers with timestamps that jump back to the source. Browser extension + MCP, self-hosta

One bucket, every index: open-source, AI-native data platform in Rust. Hybrid retrieval on object storage, plus reactive data (Live), graph,

Swap one RAG pipeline stage, hold the rest fixed, and measure whether the gain survives composition. The framework behind "Retrieval Augment

Excellent hybrid search in the Postgres you own.

Standalone MCP server for Obsidian vaults — hybrid search, structured memory, task management, files, OAuth 2.1. Run locally, self-host, or

Give any MCP-capable agent persistent memory: remember/recall over a tiered store with hybrid vector + keyword retrieval. Single Go binary,

The most capable Calibre MCP server — full read/write tools plus multilingual semantic search over your whole ebook library or a single book

Jev RAG (Jev-RAG / JevRAG): open-source local knowledge search with BM25 + Jev reranking, agentic and hybrid retrieval, cited answers, and r

Find, connect, rediscover your notes — a local-first second brain for Obsidian. Semantic search with strong Chinese/CJK, relation graphs and

Local-first RAG knowledge base for Pi agents with hybrid code/doc search, reranking, diagnostics, and large-project indexing.

Local long-term memory for AI coding agents. Keeps every conversation word for word, costs nothing to save, and is shared by all your agents

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacem

World's fastest and most compact embedded vector database: exact by default, multimodal, local-first, and GPU-accelerated

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Local LLM-maintained personal wiki, built on Karpathy's LLM-Wiki pattern. Runs on Ollama + Qwen3 + QMD.

memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown

Fast, pure-Python full-text indexing and search. Actively maintained continuation of Whoosh / whoosh-reloaded. Install: pip install whoosh3

The official Drizzle integration for ParadeDB

Dialogue memory for AI agents (hermes plugin): auto-recall of facts across sessions, LLM fact extraction with a cheap gate, SUPERSEDE versio

Open-source, self-hosted search and AI chat for your website, grounded in your own data

Local-first semantic search engine for your files — hybrid BM25 + vector + HyDE search over docs, PDFs, images, audio and video. 100% offlin

Local-first personal knowledge base CLI — hybrid FTS + pgvector search, a GraphRAG entity graph, and LLM enrichment over your notes, transcr

Local-first scientific literature RAG with frozen evidence, exact human annotations, paper screening, and reproducible offline workflows.

Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code c

基于 Hybrid RAG 与 LangGraph 的本地代码仓库理解工具，支持中英文提问、语义检索、证据引用和多问题拆分

SQL-like query language and CLI for Qdrant vector search engine

A terminal-based, multi-domain support-ticket triage agent grounded in a local support corpus.

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

The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.

The ultimate memory backend for OpenClaw and Claude Code. Persistent conversation memory with LLM fact extraction, foundation-model rerankin

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

Retrieval + inference offload for AI coding agents.

Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

TypeScript knowledge graph RAG for AI agents: source evidence, hybrid retrieval, MCP integration, and a permission-aware PostgreSQL runtime.

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server

Federated, local-first search for an AI — one query across transcripts, files, knowledge graph, vector store, and the web, fused by trust-we

Viglet Turing: open source enterprise search with generative AI. Faceted semantic search, RAG chat with citations and AI agents over your ow

Open-source MCP server over a git-backed Obsidian vault. Single-user, self-host. Six tools, hybrid search, provenance/blame, auto-link disco

Local knowledge base for AI agents (hermes plugin): hybrid search over your PDFs, DOCX, sites, YouTube and Obsidian; answers grounded strict

Permission-aware Agentic RAG for enterprise knowledge bases — folder ACLs, hybrid retrieval, OCR, grounded citations, and secure LLM evidenc

生产级 3GPP 5G 规范 RAG Agent：自然语言提问，回答带段落级原文引用 + 严格 grounding，覆盖 Rel-18/19 全部 TS。

CogDoc — 面向个人与团队的本地优先 AI 知识与研究工作台：多源 RAG、Deep Research、可验证引用、审核闭环、细粒度 ACL 与 Rust 加速混合检索。 CogDoc — A local-first AI knowledge and research w

Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP ex

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reran

Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown