Memory Fabric
File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.
MCP server · by elViRafa
About
Memory Fabric is an MCP server published by elViRafa. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
PyPI memory-fabric (memory-fabric on PyPI)
- PyPI downloads/week: 129 (2026-10-13)
- PyPI downloads/month: 738 (2026-10-13)
- Latest version on PyPI: 1.4.2, published 2026-09-21
No known vulnerabilities in OSV for 1.4.2 (checked 2026-10-13)
PyPI facts come from pypi.org, PyPI downloads from pypistats.org. Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero. Vulnerability records come from OSV.dev (CC BY 4.0) and concern the declared version only; a listing that declares no version gets no answer. We do not scan code.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio memory-fabric -- uvx --from "memory-fabric[mcp]==1.4.2" memory-fabric-mcp memory-fabric
[mcp_servers.memory-fabric]
command = "uvx"
args = ["--from", "memory-fabric[mcp]==1.4.2", "memory-fabric-mcp", "memory-fabric"]
{
"mcpServers": {
"memory-fabric": {
"command": "uvx",
"args": [
"--from",
"memory-fabric[mcp]==1.4.2",
"memory-fabric-mcp",
"memory-fabric"
]
}
}
}
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.4.2 | Downloads/month (PyPI): 738 Downloads/week (PyPI): 129 Forks (GitHub): 0 Stars (GitHub): 2 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
th-memory-mcp io.github.worakorn-prince/th-memory-mcp
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
remem-mcp — Local-first MCP Memory + CodeGraph + Wiki
Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.
-
agent-memory-mcp io.github.xultrax-web/agent-memory-mcp
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
-
memory-mcp com.letta/memory-mcp
MCP server for AI memory management using Letta - Standard MCP format
-
vasperamemory io.github.RCOLKITT/vasperamemory
Persistent AI memory for coding assistants. 80+ tools for decisions, patterns, errors.
-
in-memoria io.github.pi22by7/in-memoria
Persistent codebase intelligence that gives AI assistants memory across sessions
-
verbative-memory io.github.verbative/verbative-memory
On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.
-
memforge-memory io.github.volsier/memforge-memory
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Zero-config MCP server for searchable documentation. SQLite or PostgreSQL.
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
Local AI memory system for Claude Code and Cursor. Remembers your preferences, decisions, and project context across sessions using a Go HTTP service and Qdrant vector database…
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Has a listing on Claude Code: claude-plugins-official (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
Has a listing on Claude: knowledge-work-plugins (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
MCP server for terminal commands, file operations, and process management
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Use MagicPath to find, inspect, install, create, and edit UI components from Codex.
Has a listing on Community GitHub marketplaces (5)
-
Local-first, governable long-term memory for AI coding agents
-
Markdown memory for coding agents that audits itself: drift reports and session digests.
-
vibsync com.vibsync/vibsync
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
-
al-buddy-memory io.github.flytomoon/al-buddy-memory
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
-
Git-native content governance for AI agents — 27 deterministic MCP tools over stdio and HTTP.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Capture, search, and organize notes and collections.
Has a listing on Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
Has a listing on Official MCP Registry (5)
-
th-memory-mcp io.github.worakorn-prince/th-memory-mcp
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
remem-mcp — Local-first MCP Memory + CodeGraph + Wiki
Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.
-
agent-memory-mcp io.github.xultrax-web/agent-memory-mcp
Markdown memory for AI agents. Files you can read, edit, grep, and commit. Not a database.
-
memory-mcp com.letta/memory-mcp
MCP server for AI memory management using Letta - Standard MCP format
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.