Havuz

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

An open-source, local-first CV & resume management platform featuring privacy-focused semantic search to instantly match your skills, projec

Agentic Voice Notes for iPhone and macOS - Rust, Dioxus, LanceDB + RIG + SQLite

Advanced RAG (Retrieval-Augmented Generation) system for private document intelligence. Uses OpenAI GPT-4o and Vector Databases to provide z

A reproducible catalog for choosing embedding layouts under quality, memory, and latency constraints

A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic m

Shared memory + orchestration for your coding agents — one MCP server, persistent vector memory, agent registry

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types

Knowhere, karmaşık dokümanları AI agents ve RAG sistemleri için kaynaklarına bağlı, hiyerarşik ve aranabilir belleğe dönüştürür.

Neden yükseliyor · 3522 yıldız ve son 28 gündeki 189 commit ilgi ve geliştirme hareketliliğine işaret ediyor. Agent-native retrieval ile doküman parsing'ini aynı hiyerarşik bellek modelinde birleştirme vaadi de güncel bir ihtiyaca hitap ediyor; ancak bu ölçümler yıldızların ne kadar yakın zamanda kazanıldığını göstermiyor. Commit'lerin yalnızca 2 farklı yazardan gelmesi katkı tabanının dar olabileceğini düşündürüyor.

A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like

📊 电商数仓智能问数 AI Agent，最适合用于系统学习 LangGraph 的实战项目：基于 LangGraph、FastAPI、Qdrant、Elasticsearch、MySQL 与 React，完整实现元数据知识库、混合检索、自然语言生成 NL2SQL 生成校验、SQL

A hex-native embedded database for Go. Morton keys, native ring scans, seams (contradictions), MVCC, provenance, and optional HNSW embedding

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, Ap

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre a

Privacy-first document intelligence engine — parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review

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

Consumer-aware compression for embedding indexes and LLM KV caches — compress by the metric the downstream consumer actually uses. PCA-Matry

Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kern

Vectorless, Reasoning-Based Retrieval-Augmented Generation (RAG)

Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid se

RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw

Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

Multi-model AI agent runtime. Define agents in YAML, route each role to a model, orchestrate with 7 patterns (ReAct, Plan & Execute, Fan-Out