maxmiksa/autonomous-company

An autonomous company working 24/7 on your own PC - Windows/Linux/macOS.

View on GitHub ↗Jump to charts ↓Open shareable report →

maxmiksa/autonomous-company has 3k+ stars and 500+ forks on GitHub, is written in Python, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 50 minutes ago
Added to GitGenius on October 13th, 2026
Created on February 12th, 2026
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 506
Total Stargazers: 3,145 (+0)
Total Subscribers: 17 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 9.2 days
90th percentile: 51.2 days
Tracked items: 6

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 2
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

Sign in to see which issues are moving.
Sign in

Detailed Description

Autonomous Company is a framework for running an AI-powered autonomous workforce on your own computer that operates continuously without human intervention.

The tool addresses the challenge of automating complex, multi-step business processes by orchestrating multiple AI agents, each with a specialized role definition based on expert approaches to their domain. The framework uses agentic workflows to coordinate these agents, allowing them to research, make decisions, and write code autonomously while operating within human-configured goals, permissions, and budgets. The system runs locally on Windows, Linux, or macOS and includes a dashboard for monitoring work in progress. It defaults to Claude Code as the underlying language model and supports optional adapters for Cursor and OpenAI-compatible services.

Adoption suits teams seeking to automate knowledge work and business processes that require coordination across multiple specialized tasks, provided they can self-host and manage the necessary model services and API access. The framework is designed for continuous operation rather than one-off tasks, making it relevant for organizations that want autonomous agents working around the clock on defined objectives. The tool's reliance on external model availability and service uptime means reliability depends on those factors being stable.

The project maintains an active development cycle with refinements to the dashboard interface, including improvements to work journals, navigation, and mobile layouts. The codebase includes concrete example implementations demonstrating the framework applied to real-world scenarios such as scope management tools, image processing workflows, and document tracking systems. The presence of migration documentation indicates attention to backward compatibility as the project evolves.