Havuz

A post-retrieval temporal layer for RAG systems — validity filtering, time decay, document kind classification, and hybrid reranking in one

Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.

FlowState QMD — Anticipatory Memory for AI Agents. Hermes 2026 Hackathon Entry.

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

TurboQuant-compatible vector search plus graph memory for constrained RAG.

Pixel-native visual RAG ported to Rust on the ruvector ANN substrate (HNSW + IVF-Flat) — screenshot/document retrieval over visual embedding

A local, open-source alternative to NotebookLM. Chat with your documents using any LLM.

AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible fi

Caelune (凯露恩) — Local-first retrieval for private Markdown, PDF, and Tika documents, with a Windows desktop app and read-only MCP server.｜本地

MODA: open fashion retrieval benchmark and models by Hopit AI. MODA (203M, open source), MODA Pro Lite (213M, open weights), MODA Pro (hoste

Open-source bitemporal knowledge graph — long-term memory for AI agents. Hybrid retrieval, conflict-aware ingest, GDPR forget. REST + native

Memory database for AI agents — stores typed memories (facts, preferences, events, entities, relations) with provenance, confidence, and bi-

Private, fully offline photo search for Android. Find photos with words in English, Arabic, French, Russian or Spanish, or with another phot

The complete backend for AI agents in one SQLite file : Documents, vectors, cache, queue, and cron.

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgve

local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a bui

Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page cit

The official Drizzle integration for ParadeDB

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

Local-first markdown notes with a first-class MCP server. 16 tools + 2 resources for Claude Code, Claude Desktop, Cursor and any MCP agent.

Transparent, transport-layer semantic cache for LLM API calls, powered by Redis 8 Vector Sets.

Local-first cognitive daemon for automated vault management Markdown. Semantic indexing, auto-tagging, and connection discovery using LLMs a

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

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

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

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

The open-source talent graph for humans and AI agents.

MongoDB-native long-term memory for production AI agents

Open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreadi

A blank-slate, memory-safe, ultra-high-performance property-graph database in Rust — unified MVCC/time-travel/branches/replication over a fo

AI-powered SaaS translation platform for web novels — batch translate with RAG memory, multi-agent collaboration, Stripe billing, Chrome ext

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

Makra is a memory layer between the web and your AI agents. It serves real-time structured data from the open web at the cost of a vector se

Apache Paimon Vector Index: pure Rust IVF-PQ for data lake vector search.

Local document knowledge base for DeepSeek Harness: library_add/remove/list, hybrid semantic+keyword library_search with diversity re-rankin

Embedded long-term memory database for AI agents & LLM apps. Six-layer cognitive architecture, knowledge graph, hybrid BM25 + vector search,

Python + Terraform. Cloud-ready GraphRAG solution that uncovers distant connections across data and grows incrementally as new documents arr

An external memory for LLMs: a bi-temporal knowledge graph with hybrid (keyword + vector) retrieval and a self-improving reflection loop. Be

Unified Rust workspace for the trusty-* AI developer-tooling ecosystem: hybrid code search, memory palace, code analysis, PR review, and the

Long-term memory for LLM apps that shows its work: dated facts, as-of answers, supersession, and receipts on every answer. Library, CLI, loc

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

Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing

Persistent, queryable memory for AI agents with intake policy, smart recall, context packs, graph recall, and multi-agent scoping

Türkçe SQL Server 2025 başucu kitabı: kod örnekleri, errata, topluluk soru-cevap · CC BY-NC-SA 4.0 + MIT

RAG parameter sweep and evaluation toolkit — a practical way to test how different vector databases, embedding models, chunking strategies,

Face search engine: 100% recall at 96x less memory than HNSW. Register photos, identify people from camera/video/images. AVX-512 + Rust. No

Vector search library built from scratch with exact and approximate nearest-neighbor indexes. Includes Flat, IVF, HNSW, Product Quantization

The fastest pure Go in-memory Redis alternative. 6.87M+ ops/s peak throughput, 119µs latency, Multi-Reactor engine, embedded Cyberpunk Web S

A custom, high-performance, disk-backed Approximate Nearest Neighbor (ANN) vector database built entirely from scratch in C. Feel free to co