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  1. Home
  2. 🧠 Knowledge & Memory
  3. Myco
Myco logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 3:32:32 AM

Myco

User RatingsBe the first to rate and review this MCP server!
View Repository63 GitHub StarsTotal stargazers on GitHub for the source repository (63 stars).Visit Website
knowledgememoryfilesystemagentcognitive-substrate

Agent-first cognitive substrate managing cross-session memory as a self-validating filesystem graph with 18 manifest-driven verbs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Battam1111/Myco, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

Myco is a living cognitive substrate for AI agents that stores knowledge as a graph of markdown and YAML files on the filesystem. It enables ingestion, digestion, circulation, homeostasis, and evolution of agent memory across sessions and projects without embedding-based storage. The system enforces contract invariants mechanically and forbids LLM-SDK imports in its kernel and plugins to remain provider-agnostic. Use it to build AI agents with persistent, evolving memory that self-maintains and reshapes its knowledge structure.

Use cases

β€’Ingest and integrate knowledge from files, URLs, or text paragraphs
β€’Maintain persistent cross-session and cross-project memory for AI agents
β€’Run mechanical lint checks enforcing knowledge contract invariants
β€’Traverse and analyze the knowledge graph connectivity
β€’Evolve and reshape the cognitive substrate as knowledge grows

Key features

β€’18 manifest-driven verbs for knowledge lifecycle management
β€’25 lint dimensions enforcing 7 contract invariants
β€’Cross-session and cross-project memory via filesystem graph
β€’Provider-agnostic design forbidding LLM-SDK imports
β€’Editable kernel substrate maintained by the agent itself
β€’Supports integration with Claude Code, Cursor, Windsurf, Zed, VS Code, and any MCP client

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Myco.

Extracted Tool Capabilities
18 manifest-driven verbs for knowledge lifecycle management
25 lint dimensions enforcing 7 contract invariants
Cross-session and cross-project memory via filesystem graph
Provider-agnostic design forbidding LLM-SDK imports
Editable kernel substrate maintained by the agent itself
Supports integration with Claude Code, Cursor, Windsurf, Zed, VS Code, and any MCP client

Documentation Overview

⚠️ Deprecated: Myco has been reborn as v0.9-genesis

This PyPI package (myco, v0.4–v0.8.x) is the Agent-First cognitive-substrate embryo: a 20-verb tool framework for an AI agent's memory. It is doctrinally a dead embryo, sealed at the git tag v0.8.8-final-embryo.

The project has been reborn as a different conception: a decades-long symbiotic partnership between one human and a substrate that carries memory, character, and doctrine across LLM model generations. v0.9 is not a pip install. It is a clone-and-build substrate (Rust + Python + TypeScript).

πŸ‘‰ See github.com/Battam1111/Myco

Branch v0.9-genesis, with its GETTING_STARTED.md. This myco PyPI package is no longer the project; it remains only as the predecessor lineage.


Myco

Myco

Devour everything. Evolve forever. You just talk.

PyPI Python License Stars Glama score

Try it live on Glama

ClaudeΒ CodeΒ  /plugin install myco@myco Β Β·Β  ClaudeΒ DesktopΒ  myco-install host cowork Β Β·Β  AnyΒ MCPΒ hostΒ  pip install 'myco[mcp]'

What it is Β· How it lives Β· Quick start Β· Verbs Β· Self-validation

Languages: English Β· δΈ­ζ–‡ Β· ζ—₯本θͺž


LangChain. LangGraph. CrewAI. DSPy. Claude Code skills. OpenHands. OpenClaw. Every few months the next framework drops and you migrate again.

Your notes rot too. The API you read three weeks back has changed. The doc you wrote last year is wrong now. Your AI does not even remember last week's decisions. Every new conversation starts from zero.


Now imagine one living substrate. It ingests the frameworks, the papers, the APIs, the codebases, the datasets, the decisions, the frictions. It keeps them connected in a graph the agent actually reads. It catches its own drift. It reshapes itself when your work outgrows its old form. For six months. For six years. No migration.

This is Myco.


What it is

Myco is a living cognitive substrate for your AI agent.

Everything the agent reads or writes, every piece of code and every paper and every decision and every friction, lives on your filesystem as plain markdown + YAML. Files cross-reference each other by name, forming a graph the agent actually reads. The agent eats raw material, digests it into integrated knowledge, immune-checks its own work against drift, propagates learning across your projects, and when the shape of the substrate no longer fits the shape of the work, reshapes the substrate itself. The kernel that runs all of this is itself a substrate, editable by default, maintained by the same agent that uses it.

Not a framework. Not a vector database. Not a managed service. A living filesystem for an agent you talk to.

The idea is older than the implementation. What changed is the agent. Today's models are finally capable of keeping their own tooling alive. Every earlier attempt at a self-maintaining knowledge system died in the same place, where the human in the loop could no longer keep up. Myco puts the loop inside the agent. Every surface, every verb, every rule assumes the maintainer is an agent, so the human in the loop is no longer load-bearing.

How it lives

You speak. The agent listens. Between your turns, Myco runs a metabolism.

  • Ingestion. hunger asks what is missing. eat absorbs whatever you point at, whether a path, a URL, or a paragraph. sense and forage scan what is already here. excrete safely removes a raw note captured by mistake, moving it to an audit tombstone instead of silently deleting. intake (v0.6.0) bulk-ingests a whole directory, composing forage + eat with strict-mode failure visibility.
  • Digestion. assimilate cooks raw notes into integrated knowledge. digest promotes a single note. sporulate concentrates integrated notes into a dispersible proposal.
  • Circulation. traverse walks the graph and reports on its connectedness. propagate publishes learning to a downstream substrate.
  • Homeostasis. immune runs a 47-dimension lint against the seven hard rules. senesce winds down each session cleanly.
  • Evolution. When the substrate's shape no longer fits the work, whether a canon field is missing, a new lint dimension is needed, or a verb must change, fruit drafts a three-round craft proposal, winnow gates its shape, and molt ships the contract bump.

Twenty verbs, one manifest, two faces: a CLI for you to observe, an MCP server for the agent to drive. You memorize nothing. The agent drives.

Five principles

  • Only for the agent. Every surface, every message, every verb shape is primary material for the agent. Not documentation for a human reader.
  • Devour everything. No filter on intake. Missing a signal costs more than eating one too many.
  • Self-evolving shape. Canon, lint dimensions, verbs, the contract itself, all of it mutable, all of it changed through a single governed craft loop.
  • Nothing is final. integrated is a state, not an endpoint. Today's conclusion is tomorrow's raw material.
  • Mycelium network. Every node links to every other node by traversal. Orphans are dead tissue.

The kernel IS a substrate

Myco's own source tree is a substrate. .myco/canon.yaml at .myco/. .myco/MYCO.md as the agent entry page. .docs/primordia/ holding the three-round craft document that justifies every contract bump. The Python code under src/myco/ is the innermost ring of its own ecosystem. Not a read-only artifact someone else wrote.

So the normal install clones the source and runs pip install -e on it. The agent that uses Myco is the same agent that maintains Myco. When it needs a new lint dimension, it scaffolds one with myco ramify, writes the case with myco fruit, gates the shape with myco winnow, and ships the bump with myco molt. No fork. No waiting PR. No long-lived feature branch. ζ°Έζ’θΏ›εŒ–.

PyPI exists for bootstrap and for library embedding. It is not the normal install path.

Quick start

bash
pipx run --spec 'myco[mcp]' myco-install fresh ~/myco

This clones the repository to ~/myco, runs pip install -e on it, and leaves you with a writable kernel. Then germinate a substrate inside any project:

bash
cd your-project
myco germinate . --substrate-id your-project

Hook Myco into your agent host in one command:

  • Claude Code. Run /plugin marketplace add Battam1111/Myco, then /plugin install myco@myco.
  • Claude Desktop / Cowork. Run myco-install host cowork to write the MCP entry, then download myco-<ver>.zip and drag it into Claude Desktop β†’ Settings β†’ Plugins β†’ Upload. Claude Desktop uploads it to your private Cowork marketplace and every subsequent session auto-installs the myco-substrate onboarding skill. (v0.7.4 hotfix: artifact extension is .zip, not .plugin β€” Anthropic GitHub issue #40414.)
  • Any other MCP host. Run myco-install host <cursor | windsurf | zed | vscode | openclaw | claude-desktop | gemini-cli | codex-cli | goose>, or pass --all-hosts to auto-detect every host on this machine.
  • Via the official MCP Registry. Use the namespace io.github.Battam1111/myco for clients that auto-resolve it.

Per-host snippets for the nine hosts with divergent schemas, Python-framework adapters (LangChain, CrewAI, DSPy, Smolagents, Agno, PraisonAI, MS Agent Framework, Claude Agent SDK), and library-embedding examples all live in INSTALL.md.

Optional extras

  • pip install 'myco[mcp]' β€” MCP server stack (recommended baseline).
  • pip install 'myco[adapters]' β€” PDF / HTML / URL ingestion adapters (~10 MB).
  • pip install 'myco[multimedia]' β€” v0.8.0: audio / image-OCR / video-frame ingestion adapters. Heavy footprint (~500 MB once PyTorch + Whisper weights download); strictly opt-in. Default install stays lean β€” without this extras the three multimedia adapters cleanly emit install-extras failed-stubs when forage encounters a .mp3 / .png / .mp4, so eat never silently drops a media file. Image and video OCR additionally require the system tesseract binary on PATH (install via apt-get install tesseract-ocr / brew install tesseract / Windows installer).

The twenty verbs

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
63
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Myco

No, the PyPI package (v0.4–v0.8.x) is deprecated and sealed at tag v0.8.8-final-embryo. The project has been reborn as v0.9-genesis, which is not a pip install but a clone-and-build substrate.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedAug 9, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars63
GitHub Star CountTotal stargazers on GitHub representing community popularity (63 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 9, 2026
49Quality signal: Fair Β· 49/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools21/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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