molecule-core/docs/workspace-runtime-package.md
Hongming Wang d8026347e5 chore: open-source restructure — rename dirs, remove internal files, scrub secrets
Renames:
- platform/ → workspace-server/ (Go module path stays as "platform" for
  external dep compat — will update after plugin module republish)
- workspace-template/ → workspace/

Removed (moved to separate repos or deleted):
- PLAN.md — internal roadmap (move to private project board)
- HANDOFF.md, AGENTS.md — one-time internal session docs
- .claude/ — gitignored entirely (local agent config)
- infra/cloudflare-worker/ → Molecule-AI/molecule-tenant-proxy
- org-templates/molecule-dev/ → standalone template repo
- .mcp-eval/ → molecule-mcp-server repo
- test-results/ — ephemeral, gitignored

Security scrubbing:
- Cloudflare account/zone/KV IDs → placeholders
- Real EC2 IPs → <EC2_IP> in all docs
- CF token prefix, Neon project ID, Fly app names → redacted
- Langfuse dev credentials → parameterized
- Personal runner username/machine name → generic

Community files:
- CONTRIBUTING.md — build, test, branch conventions
- CODE_OF_CONDUCT.md — Contributor Covenant 2.1

All Dockerfiles, CI workflows, docker-compose, railway.toml, render.yaml,
README, CLAUDE.md updated for new directory names.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-18 00:24:44 -07:00

3.2 KiB

Workspace Runtime PyPI Package

Overview

The shared workspace runtime infrastructure lives in two places:

  1. Source of truth (monorepo): workspace/ — this is where all development happens
  2. Published package: molecule-ai-workspace-runtime on PyPI

What's in the package

Everything in workspace/ except adapter-specific code:

  • molecule_runtime/ — all shared .py files (main.py, config.py, heartbeat.py, etc.)
  • molecule_runtime/adapters/BaseAdapter, AdapterConfig, SetupResult, shared_runtime
  • molecule_runtime/builtin_tools/ — delegation, memory, approvals, sandbox, telemetry
  • molecule_runtime/skill_loader/ — skill loading + hot-reload
  • molecule_runtime/plugins_registry/ — plugin discovery and install pipeline
  • molecule_runtime/policies/ — namespace routing policies
  • Console script: molecule-runtimemolecule_runtime.main:main_sync

Adapter repos

Each of the 8 adapter repos now contains:

  • adapter.py — runtime-specific Adapter class
  • requirements.txtmolecule-ai-workspace-runtime>=0.1.0 + adapter deps
  • Dockerfile — standalone image (no longer extends workspace-template:base)
Adapter Repo
claude-code https://github.com/Molecule-AI/molecule-ai-workspace-template-claude-code
langgraph https://github.com/Molecule-AI/molecule-ai-workspace-template-langgraph
crewai https://github.com/Molecule-AI/molecule-ai-workspace-template-crewai
autogen https://github.com/Molecule-AI/molecule-ai-workspace-template-autogen
deepagents https://github.com/Molecule-AI/molecule-ai-workspace-template-deepagents
hermes https://github.com/Molecule-AI/molecule-ai-workspace-template-hermes
gemini-cli https://github.com/Molecule-AI/molecule-ai-workspace-template-gemini-cli
openclaw https://github.com/Molecule-AI/molecule-ai-workspace-template-openclaw

Adapter discovery (ADAPTER_MODULE)

Standalone adapter repos set ENV ADAPTER_MODULE=adapter in their Dockerfile. The runtime's get_adapter() checks this env var first:

# In molecule_runtime/adapters/__init__.py
def get_adapter(runtime: str) -> type[BaseAdapter]:
    adapter_module = os.environ.get("ADAPTER_MODULE")
    if adapter_module:
        mod = importlib.import_module(adapter_module)
        return getattr(mod, "Adapter")
    # Fall back to built-in subdirectory scan (monorepo local dev)
    ...

Publishing a new version

cd workspace-template
# 1. Bump version in pyproject.toml
# 2. Sync to molecule-ai-workspace-runtime repo
# 3. Tag and push — CI publishes to PyPI via PYPI_TOKEN secret

Or manually:

cd workspace-template
python -m build
python -m twine upload dist/*

Writing a new adapter

  1. Create a new standalone repo molecule-ai-workspace-template-<runtime>
  2. Copy adapter.py pattern from any existing adapter repo
  3. Change imports: from molecule_runtime.adapters.base import BaseAdapter, AdapterConfig
  4. Create requirements.txt with molecule-ai-workspace-runtime>=0.1.0 + your deps
  5. Create Dockerfile with ENV ADAPTER_MODULE=adapter and ENTRYPOINT ["molecule-runtime"]
  6. Register the runtime name in the platform's known runtimes list