mycelium
Official@mycelium-io
Multi-agent coordination and persistent memory, built on the Internet of Cognition.
Agent Skills by mycelium
Showing 10 vetted skills indexed across 1 GitHub repositories.
mycelium
Coordinate multi-agent teams with persistent room-based memory and structured negotiation.
before-and-after
Compare unstructured channel consensus against Mycelium-mediated negotiation in paired experiments.
generate-cli-docs
Regenerate CLI documentation site HTML from Typer metadata and Markdown sources.
release
Automate software releases by tagging versions and publishing GitHub releases.
troubleshooting
Diagnose and fix Mycelium installation and runtime issues across CLI, Docker, and migrations.
precommit
Automate lint, format, type-check, and test precommit checks.
ship
Automate precommit checks, staging, conventional commits, and optional pushes.
modern-python
Standardize Python tooling with uv, ruff, and pytest workflows.
e2e
Automate end-to-end smoke testing of the Mycelium stack.
tdd
Execute test-driven development workflows through red-green-refactor cycles.
Frequently Asked Questions About mycelium
FAQPage SchemaWhat specific tasks does Mycelium enable for distributed systems?▼
Mycelium enables the coordination of multi-agent teams through persistent room-based memory and structured negotiation. It facilitates comparative analysis between unstructured consensus and mediated negotiation, while providing standardized mechanisms for repository maintenance, documentation generation, and end-to-end smoke testing of the stack.
Which personas benefit most from Mycelium's architecture?▼
Mycelium is designed for systems engineers and researchers focused on multi-agent orchestration and distributed state management. It serves developers building complex, memory-persistent environments who require rigorous testing, standardized release cycles, and structured negotiation protocols to manage agent interactions effectively.
What are the primary prerequisites for deploying Mycelium?▼
Deployment requires a standard environment supporting modern package management, specifically utilizing uv for dependency resolution. Users must ensure their local configuration supports Typer metadata parsing for documentation generation and Docker for containerized runtime environments during troubleshooting and end-to-end testing phases.