# Devin-AXIS/iPolloWork

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.

Repository: https://github.com/Devin-AXIS/iPolloWork
Canonical: https://ross.abutalabs.com/products/ipollowork
Homepage: https://www.ipollo.ai/
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai-agents, opencode, deepseek-harness, dsh-plugin, visual-editor, agent-skills, claude-code, codex, hermes-agent, ai-work, self-evolving-ai, agent-collaboration, opencode-plugin, enterprise-agent-workspace, ipollowork-plugin, ipollowork-skill, codex-plugin, multi-agent-workspace
Last push: 2026-08-26T16:18:10+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 26
- inputs: {"age_days": 373, "days_push": 7, "days_rel": 7, "gap_med": 0, "n_releases_24m": 26}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4920, forks 970 (observed 2026-08-28T04:09:02.111589+00:00)

## What it is
iPolloWork is an enterprise-grade, local-first agent workbench that unifies multiple agent engines (Codex Harness, DeepSeek Harness, OpenCode) in one workspace with shared plugins, Skills, and multi-agent project/task coordination. It also provides editable creation surfaces for code, documents, presentations, websites, design, and video, with human-in-the-loop approval and private deployment options.

## Use cases
- run multiple AI coding agents in one unified workspace
- coordinate multi-agent projects and tasks with my team
- turn a goal into editable code, docs, presentations, and video
- self-host an enterprise agent platform inside my own infrastructure
- build plugins, Skills, and MCP services for AI agents
- keep human approval in the loop for sensitive agent actions
- replace Codex and Claude Code with an open local-first alternative

## When to choose
- you want one local-first workspace for several agent engines instead of separate tools
- your team needs shared context, task management, and human oversight for agent work
- you need private deployment with data/model sovereignty and auditable execution
- you want agents that produce editable artifacts across code, docs, slides, design, and video

## When to avoid
- you only need a lightweight CLI coding agent without a GUI workspace
- you require a permissively licensed dependency (license is non-standard)
- you need a mature, long-proven product given the project's young age
- you want a fully cloud-managed SaaS rather than a local/self-hosted workbench

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, developer-tools, gui, workflow-automation, plugin-system, chat-interface
- domain: large-language-models, developer-tools, self-hosted
- platform: cross-platform
- tags: agent-workbench, local-first, multi-agent, codex, opencode, deepseek, claude-code, mcp, visual-editor, enterprise-ai, ai-agents, automation, desktop, typescript

## Member repositories
- Devin-AXIS/iPolloWork (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:02.111589+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:02.122848+00:00, confidence not recorded.
  - readme: https://github.com/Devin-AXIS/iPolloWork (fetched 2026-08-28T04:09:02.111589+00:00, sha e42b9d60f15e)
  - homepage: https://www.ipollo.ai/ (fetched 2026-08-29T09:00:22.418971+00:00, sha e5c6301810ca)
  - site_page: https://www.ipollo.ai/docs (fetched 2026-08-29T09:00:22.431445+00:00, sha b3539273bb00)
  - site_page: https://www.ipollo.ai/feature.html (fetched 2026-08-29T09:00:22.428967+00:00, sha c3bd950dbf0e)
  - site_page: https://www.ipollo.ai/faq.html (fetched 2026-08-29T09:00:22.433413+00:00, sha 618700d6eebc)
  - site_page: https://www.ipollo.ai/pricing.html (fetched 2026-08-29T09:00:22.435162+00:00, sha 4c358fa15b10)
- Data as of 2026-08-30T08:39:29.467469+00:00.