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Documentation Index

Fetch the complete documentation index at: https://docs.mycelium-ai.co/llms.txt

Use this file to discover all available pages before exploring further.

The Python surface ships in the open-source ai-brain-starter repo. The skills under skills/ are runnable Python: each one reads the vault, calls deterministic services, and writes typed entries.

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Install

git clone https://github.com/adelaidasofia/ai-brain-starter ~/Documents/MyVault
cd ~/Documents/MyVault
./bootstrap.sh
After install, the skills register automatically with Claude Code. Run them via slash commands (/journal, /graphify, /diagnose) from any session.

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Direct import

For embedding the substrate in another Python project, the typed-memory schemas, the resolver, and the graph utilities are importable from the repo’s lib/ and schemas/ directories. A standalone Python SDK package (PyPI) is on the roadmap; until then, vendor the modules you need.

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Standalone SDK status

A standalone PyPI package is planned. Goal: install via pip install mycelium-sdk and call the runtime API from any Python codebase without cloning the substrate. Until that lands, the recommended path is:
  • For LLM-driven work inside Claude Code, use the slash-command skills.
  • For programmatic access from outside Claude Code, call the runtime’s HTTP API directly (see /api-reference/runtime).

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Examples

Skill examples and reference implementations live under skills/<skill-name>/SKILL.md in the substrate repo. The synth-pr-to-sop skill is a good reference for the typed-memory write path.