accomplish-ai/coworkerPublic

What is coworker?

An AI-driven digital coworker that autonomously integrates with enterprise tools to manage workflows and automate repetitive administrative tasks.

What does coworker do?

Coworker by Accomplish AI operates as an autonomous virtual employee that integrates directly into enterprise communication and productivity platforms like Slack, Jira, and Google Workspace. Instead of relying on rigid, rule-based triggers, it uses large language models to understand natural language requests, plan multi-step workflows, and execute tasks across different applications. It can schedule meetings, draft update reports, triage incoming support tickets, and update CRM records without constant human supervision. The system features a continuous learning loop, allowing it to adapt to specific company jargon and internal processes over time.

Who is coworker for?

Operations managers, IT administrators, and team leads looking to automate repetitive cross-platform workflows using natural language AI agents.

How do I get started with coworker?

npm run setup:coworker

How popular is coworker on GitHub?

accomplish-ai/coworker has 10,868 stars and 1,277 forks on GitHub, and gained -19 stars in the last 7 days.

• Oct 4, 2026Previously tracked as accomplish-ai/accomplish; its 1 daily snapshot and 2 trending appearances were merged into this profile. Stars: 10,925 on 2026-07-28 under the old name, 10,868 on 2026-10-04 (-57).
• Oct 4, 2026Previously tracked as accomplish-ai/openwork; its 1 daily snapshot and 2 trending appearances were merged into this profile. Stars: 10,925 on 2026-07-28 under the old name, 10,868 on 2026-10-04 (-57).

• Widely adopted

  10,868 stars

• Continuous integration

  Automated checks passing

• Repeat trending

  4 trending appearances

Coworker by Accomplish AI operates as an autonomous virtual employee that integrates directly into enterprise communication and productivity platforms like Slack, Jira, and Google Workspace. Instead of relying on rigid, rule-based triggers, it uses large language models to understand natural language requests, plan multi-step workflows, and execute tasks across different applications. It can schedule meetings, draft update reports, triage incoming support tickets, and update CRM records without constant human supervision. The system features a continuous learning loop, allowing it to adapt to specific company jargon and internal processes over time.

Operations managers, IT administrators, and team leads looking to automate repetitive cross-platform workflows using natural language AI agents.

• Natural Language Task Planning: Parses complex human requests into actionable, multi-step workflows across different enterprise tools.
• Native Enterprise Integrations: Connects directly to Slack, Jira, Salesforce, and Google Workspace via official APIs.
• Autonomous Triage System: Automatically categorizes, prioritizes, and routes incoming support tickets or internal requests.
• Adaptive Learning Loop: Adjusts its execution strategies and terminology based on implicit feedback and human corrections.
• Contextual Memory Store: Maintains historical context of ongoing projects and conversations to provide accurate, relevant responses.
• Permission-Bound Execution: Ensures tasks are only executed within the strict access scopes granted by the organization's IT administrators.

Getting started: npm run setup:coworker

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