Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
MCP server that builds a semantic graph memory from your project — indexes docs, code, and files, exposes 50+ tools for search, knowledge, tasks, and skills.
Structured local memory storage and retrieval for LLM agents
Does your AI-generated sound match the prompt? Local QA for generative audio — check, rank, QC, picture-fit and library search with EmbeddingGemma 2. CLI, web workbench, MCP server.
DAG-based Lossless Context Management for Claude Code. Every message preserved, summaries cascade as a DAG, patterns extracted via Lossless Dream — full recall and reflection across sessions.
Bring Semantics to your AI Agents via the OpenMetadata & Collate AI SDK
Any brain, any agent. Package an AI agent's brain — persona, MCP stack, skills, memory, config — into one open, signed bundle and install it into any framework (OpenClaw, Hermes, Claude Code) in one c
MCP server for ProjectionLab — export, snapshot, and restore financial plans with a built-in FIRE advisor knowledge base.
Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates — no cloud.
Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
Zero-bloat distributed vector memory, hardware-enforced domain firewalls, and NAT-traversing execution mesh for multi-instance Hermes agent fleets.
Ai智能医生聊天助手-这是一个前端基于Vue3、TS、后端基于Nest.js、MongoDB、Redis、Milvus并结合大模型、RAG等技术实现的医疗库智能问答系统,能结合大模型的生成能力和上传的专业医疗领域知识库针对提问给出专业回答。同时具备工具调用能力,可使用MCP集成网页爬取能力让大模型根据网址对应的医疗领域文章进行分析和输出。
Persistent project-aware memory for AI coding tools. Built on MCP. Works with Codex, Claude Code, and other MCP-compatible clients.
Persistent local memory for Claude, Cursor & Codex. 21 MCP tools, hybrid retrieval (BM25 + vector RRF), bi-temporal queries, contradiction detection. SQLite + Knowledge Graph. No cloud, no API keys. n
Local-first, eval-first memory for long-horizon AI agents — no LLM at ingest. Python SDK + MCP server with source-traceable recall, belief revision, selective forgetting, and reproducible benchmarks.
A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.
MCP server giving AI coding agents accurate Siemens NXOpen .NET API knowledge via hybrid retrieval (BGE-M3 + sqlite-vec), built from your own licensed NX installation
AI context engine for Power BI models — turns .pbit/.pbip (TMDL) into indexed, queryable context for LLM agents (MCP server, CLI, docs). Zero dependencies.
A Retrieval-Augmented Generation (RAG) Model-Controller-Provider (MCP) server designed to assist AI agents and developers in understanding and navigating codebases.. It supports incremental indexing a
API/MCP wrapper for RagAnything
Your AI memory as a local folder you own. Claude, Codex, Cursor and any MCP app share it; you see every change and can undo it.
MCP server that uses Gemini's context caching as extended memory for AI assistants. Load GitHub repos, URLs, PDFs.
A lightweight, local-first persistent memory server for AI tools. Stores structured memory entries in SQLite and exposes them over both the Model Context Protocol (MCP) and a plain REST HTTP API
MemoryVault — a self-hosted, graph-aware memory server for AI assistants. Cloudflare Workers + D1 + MCP.
Zero-infrastructure, local-first memory for AI agents. One SQLite file — no Postgres, Neo4j, or cloud. Bi-temporal supersession (updates, never deletes), four-channel hybrid retrieval, and a drop-in M
Persistent memory for AI coding agents. SQLite-backed knowledge graph with MCP server.
Engram-inspired memory MCP server with hot cache and pattern mining
An AI-native CLI Tool and MCP server for .NET memory dump investigations. Leverage LLMs (Claude/Gemini) to analyze heaps, threads, and exceptions using natural language. Built with ClrMD, token-eff
Medha is a Model Context Protocol (MCP) server that provides persistent, git-versioned memory storage for LLM applications. It combines the power of Git's version control with graph-based memory assoc
MCP-compatible context and memory system: paged code navigation for AI assistants, plus a recorded, verified theory of what is known about the code.
Watercooler: your team's shared reasoning layer for agentic coding. Preserve the "why" around your code.
Proof-backed, drift-resistant AI memory for your codebase. 11 languages, 28 MCP tools, evidence-linked claims.
Self-hosted shared memory for AI agents: vaults of people, facts and decisions your agents recall over MCP or REST, with semantic, keyword and graph search.
Offline AI search for photos, video & audio, powered by EmbeddingGemma 2 — jump to the exact second in a video. macOS · Windows · Docker/NAS · MCP. 用一句话找到照片和视频里的那一刻
Persistent memory for AI coding tools, in an open portable format. Sync Claude, Cursor, Gemini, Copilot, Windsurf + 6 more across machines via MCP. E2E-encrypted sync. MIT.
Persistent memory, architectural decision enforcement, pre-execution safety hooks, and session handoff for Claude Code. MCP server plugin for AI coding agents.
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RAG, grafos y memoria de agente a largo plazo. 2,618 servidores, los más usados primero. Cada uno abre la página del publicador.