Toon Memory
Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM
MCP server · by LuiggiVal08
About
Toon Memory is an MCP server published by LuiggiVal08. 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 2026-10-12.
What it asks for
- Runs on your machine
- Secrets: 2
- Settings: 6
Requires: GITHUB_TOKEN (secret), TOON_MEMORY_KEY (secret)
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.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
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: npm package
Built from what Official MCP Registry declares.
claude mcp add --env "GITHUB_TOKEN=<YOUR_GITHUB_TOKEN>" --env "TOON_MEMORY_KEY=<YOUR_TOON_MEMORY_KEY>" --transport stdio toon-memory -- npx -y toon-memory[mcp_servers.toon-memory]
command = "npx"
args = ["-y", "toon-memory"]
[mcp_servers.toon-memory.env]
GITHUB_TOKEN = "<YOUR_GITHUB_TOKEN>"
TOON_MEMORY_KEY = "<YOUR_TOON_MEMORY_KEY>"{
"mcpServers": {
"toon-memory": {
"command": "npx",
"args": [
"-y",
"toon-memory"
],
"env": {
"GITHUB_TOKEN": "<YOUR_GITHUB_TOKEN>",
"TOON_MEMORY_KEY": "<YOUR_TOON_MEMORY_KEY>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: TOON_MEMORY_BRANCH, TOON_MEMORY_CAPTURE, TOON_MEMORY_NO_SESSION, TOON_MEMORY_SESSION_ID.
We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 4.3.5 | Forks (GitHub): 0 Stars (GitHub): 12 |
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.
-
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
-
Git-backed long-term memory authority for AI agents via MCP.
-
Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.
-
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
-
Cross-session memory for AI coding agents via six tools; local-first SQLite store.
-
mcp-server in.creo-memories/mcp-server
Memory system for AI agents with semantic search. Store and recall memories with ease.
-
Recall — persistent memory for agents
Persistent memory for AI agents. Free, no LLM, no SDK. Open Worker you can self-host in 2 commands.
-
memory io.github.sharedmemoryai/memory
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
-
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
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…
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
-
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…
Has a listing on Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
MCP server for terminal commands, file operations, and process management
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.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Has a listing on Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
Local graph memory that lets Codex recall project context across sessions.
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Microsoft Copilot Studio plugins for AI coding agents
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Capture, search, and organize notes and collections.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Has a listing on Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Knowledge graph-based persistent memory system.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
Has a listing on Official MCP Registry (5)
-
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
-
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
-
Git-backed long-term memory authority for AI agents via MCP.
-
Graph-native persistent memory for AI agents — 33 MCP tools, zero-LLM writes.
-
Persistent memory layer for AI coding agents — your agent remembers what you taught it.
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.