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