Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
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.
Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software
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.
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
Hoofy — AI development companion MCP server. Persistent memory, spec-driven development, adaptive change pipeline, Clarity Gate. 32 tools, single Go binary, zero deps.
MCP server and agentic SQL/RAG engine for Oracle Fusion metadata and live queries
MCP server for intelligent code search: semantic (RAG), symbolic (tree-sitter), and regex (ripgrep) search modes. Built for Claude Code and AI coding assistants.
Nautobot Model Context Protocol (MCP) Server - Contains STDIO and HTTP Deployments with Embedding Search and RAG.
Your knowledge graph. Ask questions across all your notes, meetings and emails, and get cited answers.
Repository-native persistent memory hub for Spec Kit, powered by an SQLite caching optimizer & native Model Context Protocol (MCP) server.
Hierarchical memory engine for AI agents. 9-level zoom (D0-D8), 13-layer consciousness architecture, sub-microsecond queries. Pure binary, mmap, SIMD. Spine Bridge REST API + MCP server. Zero JSON.
AI smart home assistant for Home Assistant: LangGraph agent + MCP tools + RAG knowledge graph + vision perception
Reusable accelerator for Foundry IQ live grounding with Fabric Ontology and MCP Server Knowledge Sources.
Personal knowledge MCP server with vector database for Opencode. Store and retrieve knowledge using semantic search, powered by local embeddings.
Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
Persistent Knowledge Graph Memory for AI Coding Agents. Adds long-term context (goals, strategies, preferences) to Cursor, Windsurf, & VS Code via MCP.
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
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.
Graph + local semantic context for Obsidian, with guarded remote MCP access and edits from Codex, ChatGPT, Claude, and any MCP client.
Local vector store for Obsidian notes with semantic search via MCP server
Interactive visualizer for Anthropic's Memory MCP knowledge graphs. Instantly explore, debug, and analyze entities, relations, and observations from memory.json files in the Model Context Protocol.
MCP server for code retrieval from a fully indexed codebase using CocoIndex
Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates — no cloud.
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.
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
Bring Semantics to your AI Agents via the OpenMetadata & Collate AI SDK
Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
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
One memory, every terminal — a shared memory layer for any MCP client.
API/MCP wrapper for RagAnything
Zero-bloat distributed vector memory, hardware-enforced domain firewalls, and NAT-traversing execution mesh for multi-instance Hermes agent fleets.
Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
ディレクトリ全体
RAG、グラフ、エージェントの長期メモリ。 2,610 件のサーバーを利用の多い順に掲載しています。それぞれ公開元のページが開きます。
