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MaxMiksa

Autonomous-Company

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

AI EngineeringBuild agent UIBuild agent workflow (SDK)Python
Open on GitHub
Momentum
+1stars in 24 hours+0.0%
3.13k
Stars
496
Forks
2
Contributors
Created 2026-02-12 · Updated 2026-10-16 · #4877 today
Top developers
MaxMiksamdoganexe

MaxMiksa/Autonomous-Company is ranked 4,877 with 3,132 stars.

Same-category comparison

MaxMiksa/Autonomous-Company is ranked 4,877 among these 8 peers; QwenLM/Qwen-MM-Plugins is ranked 4,876.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryAI Engineering
SubcategoryBuild agent UI, Build agent workflow (SDK)
KeywordsAgent society, Automation, Tool use
Stars3,132
Forks496
Contributors2
Created date2026-02-12
Updated date2026-10-16
Stars in 1 day1
Rank4,877
Previous rank2,996
Rank change-1,881
7-day stars rank19,086
Previous 7-day stars rank19,014
7-day stars rank change-72
Total stars rank4,339
Previous total stars rank4,336
Total stars rank change-3
README summary

Autonomous Company Autonomous Company was formerly Auto-Company. For existing installations, follow the one-time v3 migration guide before starting. **An AI company framework for continuous autonomous work** Powered by **Agentic Workflows**, this project provides 14 **AI agent role definitions**, each drawing on an expert's approach to its domain. The team can research products, make decisions, and write code autonomously within human-configured goals, permissions, and budgets. Deployment, publication, and marketing depend on the tools and authorization available; continuous operation

depends on services and model availability. Powered by Claude Code (default) and Codex CLI on macOS + Windows/WSL, with a local dashboard on both hosts. Optional Cursor and OpenAI-compatible adapters require explicit configuration. See the adapter guide for their capabilities and limits. 0: A refined Dashboard with continuous work journals, smoother navigation and improved mobile layouts. ScopeFence Communicate scope, price and schedule changes through an editable decision link. Image Checklist Review image dimensions, size, format and names locally, then

export a checklist. COI Chase Desk Record follow-ups and document receipts, review the history and export session records. Each cycle reads the shared work summary, decides what to do, forms a team as needed, executes, updates the summary, and waits before the next cycle. Team creation depends on the model and engine capabilities; errors, budget limits, or a pause request can stop continuation. is the main work summary loaded for the next cycle. Product files, repositories, configuration, identity records

, logs, and usage data also persist across cycles. 🗂️ Product Center The local Product Center brings explicitly connected product runs into one catalog. Switching products changes only what you are viewing; importing an existing run starts as read-only and never starts a model by itself. | | Safe import | Connect an existing run or source for read-only review first; incompatible or incomplete sources stay unavailable for execution. | | Explicit work requests | Continue a product or prepare a new exploration only after you

submit a request. Viewing and refreshing do not create work. | | Parallel work | Run up to four projects at once by default; adjust the limit or choose unlimited. Each project retains its place until its continuous loop and cleanup finish. | | Batch creation and templates | Create groups with different models, reasoning levels and project counts. Save configurations as templates; queued work keeps the choices made when submitted. | | Faster browsing | A compact catalog, preview choices and consistent work reports make products easier to

find and follow. Open a product from its row, with keyboard support throughout. | | Visible recovery | Preparation, failures, protective pauses and uncertain states remain visible after reload so you can review them before retrying or resuming the queue. | Start it from the repository, then open : See the Product Center guide for source registration, execution-domain setup, queue controls and recovery behavior. 🧩 Generated Applications The example catalog contains 22 independently runnable public examples, including 14 newly completed products and selected historical work

. Each entry provides startup instructions, limitations and provenance; new local runs continue to write into . The examples cover professional data

Frequently asked questions

How many stars and forks are recorded?

MaxMiksa/Autonomous-Company has 3,132 stars and 496 forks.

What is the repository rank?

MaxMiksa/Autonomous-Company is ranked 4,877.

What language and category are recorded?

MaxMiksa/Autonomous-Company has 3,132 stars, uses Python and belongs to AI Engineering.

Which repository is closest in rank?

MaxMiksa/Autonomous-Company is compared with QwenLM/Qwen-MM-Plugins, ranked 4,876 with 3,136 stars.

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