Cross-tool AI memory MCP server for Claude Code, Cursor, Antigravity, Windsurf, and every MCP-compatible AI. 400 tokens not 4,000.
AI-powered agentic platform and Model Context Protocol (MCP) server for hybrid network automation and management. Unifies Cisco Packet Tracer, GNS3, SSH, Telnet, and physical hardware with multi-agent
AI context that survives the chat window. Persistent repo memory, impact analysis, and instant style audits in one command.
面向教学知识库的可扩展本地 MCP 基底。内置 BeMarkdown,将 Word/PDF 转换为包含正文、公式、表格和示意图引用的中间 Markdown,支持来源追溯、任务日志与 agent 复核,并提供模型自动下载和部署脚本。
Local-first RAG engine with cited answers from your own docs. GraphRAG, sealed sharing, MCP-native, VS Code Copilot integration. Nothing leaves your machine.
Time Library / 时间图书馆:一句话接入,适配任何平台;本机优先、可回源的 AI 记忆层。
Universal Local RAG Server for Model Context Protocol (MCP)
Persistent code intelligence for MCP with native graph, vector, full-text, and cross-repository search.
Agent memory you can code-review. Tusk indexes a folder of markdown into a typed, searchable graph your agents query over MCP. It stays plain files in git, and tusk doctor fails CI when a link dangles
The WireCat desktop app: search your chats, meetings and notes, connect any AI agent to them, and approve what it remembers. Local-first, for macOS, Windows and Linux.
Production-grade lifelong memory for AI agents — 4-tier memory, knowledge graph, E2EE, federated P2P, MCP server.
Give AI agents cited, versioned context from your docs and spreadsheets. Build, diff and roll back what Claude Code, Codex and any MCP client read. Local-first, no API keys.
Offline-first MDN Web Docs RAG-MCP server ready for semantic search with hybrid vector and full‑text retrieval
A tool for retrieving Discord messages and storing them in a vector database for semantic search and analysis.
A Go read-only file-to-Markdown database with SQLite FTS5 keyword search and MCP retrieval tools for AI agents
Rust MCP server for Linux scanmem: memory scanning, guarded writes, process UX, and JSON cheat tables.
零依赖确定性 Agent 长期记忆系统 — Markdown 权威源 + 薄索引,拒答/澄清替代向量硬猜,玻璃盒可审计。 | Zero-dependency deterministic agent memory system — Markdown authoritative store + thin index, refuse/clarify instead of vector guessing.
Personal claude.ai conversation archive: schema, ingest, embeddings, hybrid retrieval, MCP server
Shared context substrate for AI agents. Retrieval that learns what's useful. Runs local or cloud.
Rootz Archive: a Claude Code plugin that keeps an exact copy of every conversation and every file Claude edits, on your own computer, searchable by your AI. Free for individual users. No account, work
Local-first MCP memory governance for coding agents — Codex, Claude Code, Cursor, Grok, and Trae. Shared rules, deduplication, token insights, audit, and rollback.
Build, run, and monitor AI/ML workflows from any agent. MCP server extension for Claude Code, Gemini CLI, Cursor, VS Code Copilot, and more.
Production-grade agentic RAG system built from scratch. LangGraph multi-agent orchestration, MCP, enterprise middleware, and RAGAS evaluation, with real production bugs diagnosed and fixed along the w
Temporal Knowledge Graph System for Architectural Memory - Track decisions, patterns, and failures with MCP integration for Claude Code/Desktop
Local-first Codex plugin that indexes long videos with OCR/ASR and answers with timestamped, SHA-verified visual evidence.
Omnex is not a search tool. It is the memory substrate for the agentic era — the data layer that sits beneath AI agents, AI operating systems, and human-AI interaction. What exists today (file systems
Unified MCP server for scraping Salesforce developer documentation and searching a local SQLite vector-like database.
winnow — 把群聊噪声压缩为结构化知识:LangGraph 降噪管道 + L3 知识层 + MCP 接口 + 长期群记忆
Self-improving, self-hosted memory across every AI coding tool, project, and team (Claude Code, Cursor, Copilot, any MCP client). Autoskill proposes new skills from your sessions, so each project impr
Distill AI coding sessions (Claude Code / Codex / Cursor) into weekly reports, ADRs, incident reviews and a knowledge graph — local-first, evidence-linked.
Self-hosted RAG stack for crawl, scrape, search, ingest, query, and ask workflows with Qdrant, TEI embeddings, Chrome rendering, MCP/CLI/REST, and Gemini synthesis.
Open-source voice agent platform with visible reasoning. Build a roster of AI experts with their own retrieval, guardrails, rules and RAG sources - configured from the UI, with per-step model routing
Vek-Sync - Built by Vektor Memory - (Model Context Protocol) MCP-sync server configurations in sync across all your AI editors - Open Source
LLM local persistent storage for security nerds
Local-first memory shared by Codex, Claude Code, Cursor, Gemini CLI and other MCP agents. One local file, no account. By Sergey Moloman.
A Python-based server implementation of the Model Context Protocol (MCP) designed for Retrieval-Augmented Generation (RAG) workflows. It manages the flow of context, tool invocation and model output i
ไดเรกทอรีทั้งหมด
RAG กราฟ และหน่วยความจำระยะยาวของเอเจนต์ 2,577 เซิร์ฟเวอร์ เรียงจากที่ใช้มากที่สุด แต่ละรายการจะเปิดหน้าของผู้เผยแพร่