27-step plan across 8 sessions in 3 waves for transforming agent-builder into Agent Factory v1.0.0. Includes research briefs, spec, and wave-by-wave execution prompts with scope fences. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
4.7 KiB
4.7 KiB
Task: Agent Factory — Full Vision Realization
Goal
Transform the existing agent-builder plugin into Agent Factory: a comprehensive, guided system for building autonomous agent systems using Claude Code. The plugin should take users from zero to a fully operational multi-agent system through a 7-phase guided workflow, incorporating best patterns from OpenClaw (individual agent capability) and Paperclip (organizational coordination).
Success = all 5 development phases completed, delivering: foundational commands and agents, OpenClaw-inspired memory/autonomy patterns, Paperclip-inspired orchestration/governance patterns, self-learning systems, and full integration with import/export and bundled templates.
Non-Goals
- Building a central registry or marketplace with community features
- Replacing OpenClaw or Paperclip — Agent Factory is the construction layer
- Supporting non-Claude-Code agent runtimes
- Building a web UI or dashboard
- Vector/embedding-based memory (OpenClaw uses sqlite-vec — we stay file-based)
- Canvas/A2UI equivalent (confirmed as just a static file server in OpenClaw)
Constraints
- macOS Intel (bash 3.2 compatibility for all generated scripts)
- No external infrastructure required for core functionality (PostgreSQL, Node.js server)
- Claude Code native: agents, skills, hooks, settings.json, /schedule
- Plugin structure must follow Claude Code plugin conventions
- All templates are plain files with
{{PLACEHOLDER}}variables, replaced via string operations (no template engine dependency) - Generated hook scripts must be bash 3.2 compatible
- Agent YAML frontmatter must be valid
- Never write files outside the user's project directory
${CLAUDE_PLUGIN_ROOT}for all intra-plugin paths
Preferences
- TypeScript for any scripting within the plugin itself
- Rene .md/.sh templates with placeholder comments
- Conventional Commits for all checkpoint commits
- Progressive complexity: 1 agent → full org
- Domain-specific pipeline templates (not just generic)
- Multi-target deployment from start: /schedule, Docker, systemd
Non-Functional Requirements
- Budget tracking via Anthropic API integration (not /usage parsing)
- Import/export of complete agent systems (tarball format)
- 5-10 bundled domain templates as starting points
- All generated agents must include verification commands
- Governance patterns must include human oversight gates
- Self-improvement must have guardrails (ADL/VFM-inspired)
Success Criteria
- Plugin installs and
/agent-factory buildruns the guided workflow - All 4 commands work:
/agent-factory build,/agent-factory deploy,/agent-factory evaluate,/agent-factory status deployment-advisoragent provides deployment recommendationsmanaged-agentsskill triggers on agent-related questions- Generated agent systems include 3-tier memory templates
- Generated heartbeat files parse correctly with interval tracking
- Budget hooks log costs and alert on threshold
- Import/export round-trips: export → import in new project → system works
- At least 5 bundled domain templates available
- All generated bash scripts pass
bash -nsyntax check on bash 3.2
Prior Attempts
- v0.1.0 (current): Initial plugin with
/agent-factory buildcommand, builder agent, 2 skills, basic templates. Missing: deploy, evaluate, status commands. deployment-advisor agent stubbed but not implemented. managed-agents skill empty.
Open Questions
- Anthropic billing API: exact endpoint and auth mechanism needs verification before implementation. [ASSUMPTION: API exists and is accessible with API key]
- /schedule API stability: is the trigger interface stable enough to build on? [ASSUMPTION: yes, based on current Claude Code docs]
- Docker deployment: should we generate Dockerfile or docker-compose.yml or both? [ASSUMPTION: docker-compose.yml with Dockerfile, matching Paperclip's approach]
Research Context
Two research briefs inform this plan:
- ultraresearch-2026-04-11-openclaw-paperclip-agent-frameworks.md (confidence: 0.92) — Feature comparison, architecture, patterns, synthesis
- source-code-analysis-2026-04-11.md — Implementation-level details from actual source code of both projects
Key patterns to replicate (from research):
- OpenClaw: 3-tier memory, WAL protocol, Working Buffer Protocol, proactive agent with ADL/VFM guardrails, isolated agentTurn cron, emptiness detection
- Paperclip: Heartbeat with context injection, goal hierarchy (simple parent_id), budget enforcement (post-hoc), task checkout via file locking, adapter interface, org chart (reportsTo FK)
Metadata
- Created: 2026-04-11
- Mode: interview
- Source: ultraplan interview
- Research: 2 briefs (openclaw-paperclip frameworks + source code analysis)