Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.
Agent memory that needs no API key, no LLM, and no embedding provider. One command on Bun and it is serving MCP over stdio against a local SQLite store. Drop-in for the MCP reference memory server. Ev
Reusable accelerator for Foundry IQ live grounding with Fabric Ontology and MCP Server Knowledge Sources.
Your knowledge graph. Ask questions across all your notes, meetings and emails, and get cited answers.
Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local.
Wordcell keeps decisions, plans, and sources as Markdown beside your code, so coding agents can find them from the file they are about to change.
MCP server and agentic SQL/RAG engine for Oracle Fusion metadata and live queries
Nautobot Model Context Protocol (MCP) Server - Contains STDIO and HTTP Deployments with Embedding Search and RAG.
MCP server for code retrieval from a fully indexed codebase using CocoIndex
Give your AI your whole life. Keep your private things private. Olympus runs on your Mac, Omarchy or Ubuntu 24.04 LTS computer and works with ChatGPT, Claude, Grok, Codex, Claude Code and any app that
Convert AI coding CLI sessions between Codex, Claude Code, Pi, OpenCode, Devin, and Factory. SDK, CLI, MCP chat recall, and trace export for fine-tuning.
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
Agent-native multi-provider web search for AI agents (Claude Code, Hermes, DeepSeek Harness, OpenCode, Codex). Model grounding (Responses, ARK) + semantic search (Exa, Parallel) + keyless defaults via
Local-first agent memory MCP - cross-agent brain with token-saving file diff cache. By Synapse Arrows.
Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
AI context engine for Power BI models — turns .pbit/.pbip (TMDL) into indexed, queryable context for LLM agents (MCP server, CLI, docs). Zero dependencies.
Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates — no cloud.
Memory and state for AI agents: every correction kept with history, and agents that resume from their own records. Runs on your database.
Structured local memory storage and retrieval for LLM agents
VELUNE CLI is an open-source AI engineering CLI that unifies local LLMs (Ollama), cloud AI providers, MCP servers, tools, memory, and project context into a single developer workflow. Build, code, aut
CodeGrok MCP is a Model Context Protocol (MCP) server that enables AI assistants to intelligently search and understand codebases using semantic embeddings and Tree-sitter parsing.
The Python Package Manager (PPM) with persistent memory MCP tools inside Contextplus supermodeltools and context7
A context-guardian CLI for MCP servers. It provides access to MCP servers via CLI and returns clean, structured summaries to the AI agent. This prevents context window overflow and preserves the agent
Bring Semantics to your AI Agents via the OpenMetadata & Collate AI SDK
MCP server for ProjectionLab — export, snapshot, and restore financial plans with a built-in FIRE advisor knowledge base.
Free, open-source AI tutor for your classes. Claude Code, Codex or any MCP app teaches you step by step, tracks what you know in a knowledge graph, and preps you for exams. No API keys. Mac, Windows,
One memory, every terminal — a shared memory layer for any MCP client.
Persistent project-aware memory for AI coding tools. Built on MCP. Works with Codex, Claude Code, and other MCP-compatible clients.
Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
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.
Zero-bloat distributed vector memory, hardware-enforced domain firewalls, and NAT-traversing execution mesh for multi-instance Hermes agent fleets.
Agent memory for Claude Code, Cursor, Codex: MCP server + Graph RAG over your Obsidian or markdown notes, a search layer for a Karpathy-style LLM Wiki. Wikilinks are the graph, SQLite the only store.
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。
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RAG กราฟ และหน่วยความจำระยะยาวของเอเจนต์ 2,574 เซิร์ฟเวอร์ เรียงจากที่ใช้มากที่สุด แต่ละรายการจะเปิดหน้าของผู้เผยแพร่