Pigou Wu
agent-swarm-dev
Multi-agent collaborative software development framework inspired by OpenAI's Harness Engineering
仍在成形 / 36%。
no code insight
wiki gap / No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
weak signal
- GitHub / 2026-03-31 / PIGU-PPPgu/agent-swarm-dev
- wiki / 今天 / 9 files
- 1整理项目定位
- 2补充 README 摘要
- 3确认展示边界
- 01Generate LLM code insights for the most important source files.
- 02Add one approved public screenshot or product surface image.
AI progress / project progress
updates / doing / logs / open tasks
README / media / wiki / code
shipped / snapshot / media / confidence
waiting / stale / AI risks
- no code insight
- no public media
综合分 30/100，建议为 low。这个值来自任务紧急度、近期动量、战略相关性、成熟/影响证据和停滞惩罚；它只是候选建议，只有 apply 后才会改项目 priority。
Open P0/P1 tasks and active doing items.
Recent repository pushes, project updates, and log activity.
Current lifecycle state plus Pigou OS/workflow/life-state relevance.
Progress, shipped/use signals, screenshots, and repository scale.
Paused, archived, or stale projects should cool down unless other signals are strong.
- no open linked tasks
- repo files: 9
- last push: 2026-03-31
- strategic OS/workflow signal in project text
- progress evaluation: 36% idea
GitHub sync processed; Pigou OS refreshed the project wiki, progress, status, and sync log signals from repository evidence.
The sync pipeline applied local repository, wiki, task, image, and log signals after refreshing GitHub data.
Project status, launch wording, and product surface signals.
Repository file count, framework, entrypoint, module, and code insight signals.
Launch/use wording, screenshots, and visible product proof.
Project notes, README summary, and wiki/code insight completeness.
Recent push, linked work items, and project log activity.
- repo files: 9
- last push: 2026-03-31
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
Multi-agent collaborative software development framework inspired by OpenAI's Harness Engineering.
A practical framework for coordinating multiple AI agents (Claude, Codex, Cursor, etc.) to build software collaboratively with minimal human intervention.
Based on OpenAI's experience: 3 engineers + AI agents → 1M+ lines of code in 5 months.
- 4 Agent Roles: Builder, Reviewer, Doc Gardener, Cleanup - Agent-to-Agent Communication: Via PRs and shared repository state - Strict Architecture Constraints: Enforced by linters and CI - Knowledge in Repository: Everything agents need is version-controlled - Platform Agnostic: Works with any AI coding assistant
Multi-agent collaborative software development framework inspired by OpenAI's Harness Engineering.
JavaScript project with 9 indexed file(s).
package.json
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
- Generate LLM code insights for the most important source files.
- Add one approved public screenshot or product surface image.
- Repository: PIGU-PPPgu/agent-swarm-dev
- Default branch: main
- Indexed files: 9
- Primary language: JavaScript
- Frameworks: not detected
- Last pushed: 2026-03-31
- Snapshot: 2026-06-27
- 1Generate per-file summaries for important source files.
- 2Connect modules to project goals and next actions.
- 3Detect stale README sections by comparing code signals with project description.
- 4Persist historical wiki snapshots to show architecture drift.
scripts
高置信Automation scripts: 1 file(s) under scripts/
- No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.