"Comment perdre du poids (How to lose weight)" matching MCP servers:

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Enables agents to share and hand off documents with stable URLs, comment, and group docs under a drop key, with tamper-evident versioning and no account required.

Persistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.

Serves portable behavioral identity models via MCP. Extracts how a person thinks, communicates, and makes decisions from text, then provides always-on identity context, semantic fact retrieval, keyword search, and provenance tracing through 4 tools and 1 resource.

Enables AI systems to reason through emergent thinking by breaking queries into fragments that interact and form patterns, simulating how insights naturally arise in complex systems. Provides tools for emergent reasoning, pattern analysis, thought comparison, and reasoning session history.

SoupNet gives your AI agents one shared memory of how you think — across Claude, Cursor, and ChatGPT. Each checks your past decisions as searchable “recipes” and acts on your real judgment. Share it, and your team’s agents inherit that judgment too.

A person's falsifiable, consent-based model of how they work best with AI (CMP) — read it, refine it, add hunches, and find complementary collaborators. 7 tools.

coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Flatten Claude Code sessions: keep every prompt and event verbatim, resume at a lower token count. An MCP server.

MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.

Enables read-only access to the Raily personal agent's data, including agent status, brief, matches, intros, memory, analysis status, and billing status through browser-based OAuth.