Molecule AI workspace runtime — shared infrastructure for all agent adapters
Project description
molecule-ai-workspace-runtime
Shared workspace runtime for Molecule AI
agent adapters. Installed by every workspace template image
(workspace-template-claude-code, -langgraph, -hermes, etc.) to provide
A2A delegation, heartbeat, memory, plugin loading, and skill management.
This package is published from the molecule-core monorepo workspace/
directory by the publish-runtime GitHub Actions workflow on every
runtime-v* tag push. Do not edit this package directly — edit
workspace/ in the monorepo.
External-runtime MCP server (molecule-mcp)
Operators running an agent outside the platform's container fleet (any runtime that supports MCP stdio — Claude Code, hermes, codex, etc.) can install this wheel and run the universal MCP server locally:
pip install molecule-ai-workspace-runtime
WORKSPACE_ID=<uuid> \
PLATFORM_URL=https://<tenant>.staging.moleculesai.app \
MOLECULE_WORKSPACE_TOKEN=<bearer> \
molecule-mcp
That exposes the same 8 platform tools (delegate_task, list_peers,
send_message_to_user, commit_memory, etc.) that container-bound
runtimes already get via the workspace's auto-spawned MCP. Register
the binary in your agent's MCP config (e.g. Claude Code's
claude mcp add molecule -- molecule-mcp with the env above).
The token comes from the canvas → Tokens tab. Restarting an external workspace from the canvas no longer revokes the token (PR #2412), so operator tokens persist across status nudges.
See docs/workspace-runtime-package.md
for the publish flow and architecture.
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