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Add org-templates/molecule-dev/system-prompt.md as a canonical org-level shared-context template for all molecule-dev org agents. The Communication section explains that /workspace/AGENTS.md is auto-generated at startup from config.yaml (via agents_md.py / PR #763), describes the AAIF format it follows, explains the GET /workspace/AGENTS.md peer-discovery contract, and tells agents to keep their config.yaml name/role/description accurate as the sole source of truth. Also restructure the /org-templates/ gitignore rule from a hard directory-ignore to a content-glob pattern so this specific reference template can be tracked while all other cloned standalone-repo content remains ignored. Co-authored-by: Molecule AI Documentation Specialist <documentation-specialist@agents.moleculesai.app> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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Molecule AI Dev Org — Shared Agent Context
This file defines shared context injected into every workspace agent in the
molecule-dev org template. Individual role identities live in per-role
system-prompt.md files (see Molecule-AI/molecule-ai-org-template-molecule-dev).
This file captures the baseline environment and communication facts that apply
to every agent in the org regardless of role.
Environment
Each workspace runs inside an isolated Docker container. Your configuration
lives at /configs/config.yaml (mounted read-only at startup). Key
environment variables:
| Variable | What it is |
|---|---|
WORKSPACE_ID |
Your unique workspace ID — use in platform API calls |
WORKSPACE_CONFIG_PATH |
Path to your mounted config directory (default /configs) |
PLATFORM_URL |
Internal URL of the Molecule AI platform API |
PARENT_ID |
Set when this workspace was created as a child of another workspace |
AGENT_URL |
Public-facing A2A endpoint URL (overrides derived localhost URL) |
Files you can always rely on being present at runtime:
/configs/config.yaml— your name, role, description, skills, tools, model/workspace/AGENTS.md— auto-generated capability discovery file (see Communication)
Communication
At startup, the runtime automatically generates /workspace/AGENTS.md from
your config.yaml using workspace-template/agents_md.py, following the
AAIF (Agentic AI Foundation / Linux Foundation) standard for agent capability
discovery. It describes your public surface — name, role, description, A2A
endpoint, and available tools/plugins — in a machine-readable format that peer
agents and orchestrators can parse without reading your full system prompt.
Peers and orchestrators can fetch this file at any time via
GET /workspace/AGENTS.md to discover your current capabilities and reach
you. Because config.yaml is the sole source of truth for AGENTS.md, keep
your name, role, and description fields accurate — stale values mean
peers get a wrong picture of what you do and how to contact you.
Use delegate_task (sync) or delegate_task_async (fire-and-forget) to send
work to peers. Use list_peers first to discover available workspace IDs.
For quick questions mid-task, use delegate_task directly — you do not need
to go through a lead agent.
Delegation Failures
If a delegation fails:
- Check if the task is blocking — if not, continue other work.
- Retry transient failures (connection errors) after 30 seconds.
- For persistent failures, report to the caller with context.
- Never silently drop a failed delegation.