iPolloWork
Consolidates multiple AI code and content engines into one local-first workspace, reducing tool fragmentation and vendor lock-in while maintaining enterprise…
Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins and Skills, multi-agent projects and tasks, and editable code, documents, presentations, design, and video.
- Generate technical documentation and presentations from code across multiple agent systems simultaneously.
- Automate multi-agent project workflows with unified task management and shared skill libraries.
- Edit and refine code outputs collaboratively between different AI engines within one workspace.
Consolidates multiple AI code and content engines into one local-first workspace, reducing tool fragmentation and vendor lock-in while maintaining enterprise control over data and execution.
Engineering teams managing multi-agent AI projects requiring unified tooling, code editing, and document workflows without cloud dependencies.
https://github.com/Devin-AXIS/iPolloWork
By Devin-AXIS
How to Get It
claude plugins install Devin-AXIS/iPolloWork
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate technical documentation and presentations from code across multiple agent systems simultaneously
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 6,951 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 6,951 GitHub stars; contributors unknown; last commit 0d ago; license no license.