Standalone Node MCP server: semantic search + knowledge graph + vault editing for Obsidian, no plugin required
MCP server for Google's free public Knowledge Graph Search API - search for structured entity information about people, places, organizations, and concepts
Persistent memory for AI coding agents via MCP: a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter and Gemini Flash into Neo4j vi
Self-hosted, multi-user spaced-repetition (SRS) service: FSRS v6 scheduling, 10 card types, Markdown/TeX, REST API and built-in MCP server. Written in Go.
Persistent decision memory for AI coding agents. MCP server for Claude Code, Cursor, Cline.
A multimodal memory MCP server for made that your AI assistant learn from you and itself. DIGIO Alchemai Project
Persistent memory for AI agents — OpenClaw plugin + MCP server
Long-term memory for your AI agents, in your own AWS account. Notes, decisions and code in one store that Claude, ChatGPT, Codex and other MCP clients search, with a source pointer on every result. Pe
MCP server with 40 tools for AI agents. Memory, web fetch, search, file ops, screenshots, and multi-agent coordination in one Go binary.
Local-first PDF reader for researchers: notes anchored to the page, AI answers that cite it. Runs offline with Ollama.
Squish gives AI agents calibrated recall confidence (ECE 0.055) and honest abstention — the only memory runtime that tells your agent how much to trust each recollection, and says I don't know when no
Cross-surface persistent memory for AI sessions
Lightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
Self-hosted knowledge for AI agents that brings relevant notes, cards and past conversations into an ongoing chat, even when nobody asked. One shared MCP/HTTP recall service; sources stay as linked Ma
The trust and intelligence layer between AI agents and your database. Read-only by architecture, semantic knowledge graph + audit log, MCP-native.
MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server;
Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.
Stop re-explaining your project to AI agents every session. One memory layer for Claude Code, Cursor, Windsurf, Antigravity — local, MIT, no signup.
CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (
Code search that lets AI coding agents find the right files in fewer steps. Use the hosted endpoint or self-host, works with Claude Code, Copilot and Cursor via MCP.
Fully local AI memory for Apple Silicon. MCP server with semantic vector search, MLX embeddings, and LLM enrichment — no cloud APIs required.
The personal context layer for everything you learn. Drop in any files and stoa builds a maintained, cited wiki + knowledge graph — private by design, yours to share with people and agents you trust.
Memory that forgets: a persistent, self-revising belief-state MCP server and Python API for agentic R&D. Uses a hypothesis DAG to auto-prune dead ends and deduce truth without extra probes.
PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that unde
Multi-agent memory MCP server in Go to share typed memories across Claude Code, Codex, and more
A lightweight MCP server that integrates with Apple Notes to create a personal memory system for AI. Easily recall and save information from your Mac using simple AppleScript commands. Compatible with
Local-first AI agent memory daemon. One command, works offline, no account. Markdown storage, hybrid search (SQLite FTS5 + embeddings), MCP protocol, web dashboard.
AI-powered semantic search for Microsoft Dynamics 365 F&O development. Find and understand X++ code through natural language queries via Model Context Protocol (MCP).
Shared, structured memory for AI coding agents — MCP server + CLI. One memory layer for Claude Code, Codex, Cursor & every MCP client.
Open-source, local-first control plane for multi-model AI coding agents in VS Code and MCP: task DAGs, source intelligence, durable context and evidence-based review.
Point a cross-model AI engineering team at your own codebases. The Agent OS keeps named AI maintainers' identity, memory and review across labs alive between sessions — the Brain Neo.mjs runs on itsel
Headless semantic MCP server for Obsidian, Logseq, Dendron & any markdown vault. AST-based surgical editing, hybrid vector + TF-IDF search, zero-setup local embeddings — no app or plugins required. St
Persistent visual memory for AI agents — capture screenshots, embed with CLIP ViT-B/32, compare, recall. MCP server + Rust core library.
A desktop search engine for everything you write, read, and keep. Connect your Obsidian vault, projects, Calibre library, and code repos, then find anything with local hybrid search and expose through
Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.
AI-powered codebase intelligence platform — MCP Server, AST analysis, Knowledge Graph, and semantic memory with SQLite + sqlite-vec. Analyze any codebase in minutes.
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