Local-first memory governance for AI agents: shared, reviewable, auditable memory via SQLite and MCP.
Robot Memory - Persistent memory system for AI robots. MCP Server + hybrid search + spatial retrieval.
The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.
Find relevant information in your documents using natural language queries - no more keyword matching or manual browsing through hundreds of files. Built for speed and efficiency, this lightweight system searches through 500+ documents in under 300ms while using only 100MB of memory.
Personal Telegram knowledge base — forward anything, search via DM. Hybrid SQLite + FTS5 + vector + voice, MCP server for Claude.
Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.
SeekLink — hybrid semantic search for markdown vaults. Four-channel RRF fusion, MLX reranker, native CJK support. Fully local.
Shared memory for Claude Code, Codex, and Cursor. Your agent recalls decisions from weeks ago — including what the other engines worked out. Local semantic search over all three histories, as MCP tools.
Persistent memory MCP for AI agents — SQLite, knowledge graph, 13-tool Python MCP + 17-tool BrainBar surface with ToolAnnotations
Persistent memory for Claude Code — invisible self-annotating metadata, semantic search, cross-project retrieval
Локальная мульти-агентная система на self-hosted LLM (Ollama). 3 канала (Telegram/консоль/MAX), 4 типа моделей (LLM/embed/vision/voice), мультимодальность (текст/PDF/фото/голос), роли Planner/Executor/Critic с рефлексией. Инструменты: почта, Яндекс.Диск, web, OCR, cron-планировщик. Семантическая память (sqlite-vec). Coverage 88%. Без облачных API.
Local Codex CLI prompt refinery: ingest JSON/JSONL histories, dedupe, embed (OpenAI), cluster (sqlite-vec), synthesize atomic/workflow prompts via Responses API (Structured Outputs). FTS5+vector search; Streamlit UI; Typer CLI.
Git-native, semantically-searchable memory storage for Claude Code. Captures decisions, learnings, and context as git notes with vector search.
🧠 Mnema — Long-term memory for AI via MCP × Vector DB. Pluggable backends, hybrid search, Auto Dream consolidation, CLI + REST API + SDK.
Local AI search engine for your files and agents — hybrid BM25 + vector semantic search (RAG) in one SQLite file. Millisecond queries, CPU-only, offline, no LLM in the query path.
Graph + vector + holographic memory for AI agents: one SQLite store, a Hofstadter-inspired analogy slot, emergent chunking, and usage-driven forgetting. A MemoryProvider plugin for NousResearch/hermes-agent.
Store and recall robotic experiment data to improve task success by learning from past parameters, trajectories, and outcomes.
One-command hybrid memory upgrade for Hermes Agent (FTS5 + sqlite-vec + embeddings). Fully snapshot-safe and reproducible.
A searchable image database using SigLIP 2 (CLIP) embeddings and SQLite-vec for efficient similarity search.
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