English 中文
Code Agent · Cowork · Computer Use — local-first, on a Rust runtime.
⬇ Download for macOS · Windows · Linux
Website · Docs · Discussions · Contributing
Download a build — grab the latest installer from Releases, install it, configure your model, and you are ready to go.
Or run from source:
pnpm install
pnpm run desktop:devPrerequisites: Node.js 22.12+ (LTS recommended), pnpm 10.15.0 via Corepack, the Rust toolchain, and the Tauri prerequisites. More detail in CONTRIBUTING.md.
Two kinds of complex work: shipping code in real repositories, and turning source material into office deliverables. When a task needs the browser, desktop apps, the terminal, or a remote environment, BitFun can enter the real workspace.
| Scenario | Delivery goal | Typical capabilities |
|---|---|---|
| Coding | Move from a real repository to a mergeable result. | Agentic, Plan, Debug, testing, Git, Deep Review, long-horizon tasks, and benchmarks. |
| Office Work | Move from source material to deliverable documents. | Research, PPT, DOCX, XLSX, PDF, summarization, writing, meeting notes, and reports. |
Shared capabilities
- Desktop execution layer: Computer Use, browser operation, desktop apps, the filesystem, terminals, remote workspaces, and Mini Apps let the Agent enter real work environments.
- Customization layer: MCP, Skills, custom Agents, Mini Apps, and source-level extension let BitFun keep growing around your tools, roles, and interfaces.
The data below evaluates BitFun's core Agent capabilities, all measured with Deepseek-V4-Pro.
Note
These are BitFun's initial evaluation results, with each case run once. Benchmarks fluctuate with task sampling, model versions, runtime environment, and single-run variance, so treat these as an initial sanity signal that the Agent is already reasonably capable — not as a fixed ranking claim or a final ceiling. Full benchmark details will follow.
1. Completion results — BitFun leads Open Code and Claude Code on both SWE-Bench-Pro (complex software engineering) and SWE-Bench-Verified (human-verified GitHub issue fixes).
Benchmark references: SWE-Bench-Pro / SWE-Bench-Verified
2. Token economy — Agent economy needs to be evaluated across end-to-end token consumption, execution time, and KV Cache reuse. From the same SWE-Bench-Pro round, BitFun's average KV Cache hit rate was 98.67%. The follow-up report will add broader cost and latency metrics.
3. Context retrieval at scale — Agent experience also depends on how quickly it retrieves context in very large projects. On tens-of-millions-line repositories such as Chromium, BitFun uses flashgrep to cut search time by up to 94.6%, averaging a 36.1x speedup.
BitFun's extension paths progress continuously from light to deep customization:
| Tier | Path | Best for |
|---|---|---|
| L1 | Custom Agent | Defining roles, flows, constraints, and tool bundles. |
| L2 | MCP / Skills / Hooks | Connecting external tools and professional capabilities, and running your own commands at Agent lifecycle points — fully Codex-hook compatible, so existing hook scripts work as-is. |
| L3 | Mini App | Generating dedicated interfaces, forms, panels, or visualizations for tasks. |
| L4 | Source-level customization | Changing tools, adapters, UI, Runtime, or product shape. |
You can use BitFun's Code Agent to extend BitFun itself.
- Lights-Out Factory (in progress): Design during the day, let tasks flow to the server and run through the night, then review the results in the morning.
- Infinite Radius (in progress): Extending from desktop and browser to mobile, wearables, and more devices, so work stays accessible and continuous.
- App Evolution: Build tailored workflows with custom Agents, MCP, Skills, Mini Apps, or source-level customization. Community contributors have already created specialized versions for short-form drama, media, and more.
- Better, Faster, Cheaper: Pursue greater efficiency, better results, and lower cost.
- Ultimate Desktop: Continuously refine an easier-to-use, more capable, and more beautiful desktop experience.
Questions, ideas, and bug reports are all welcome in Discussions and Issues.
Stars, Issues, and PRs are welcome. We especially care about:
- Code Agent, Deep Review, debugging, and long-task execution capabilities
- Cowork, research, document, and desktop workflows
- MCP, Skills, Mini App, LSP plugins, and new domain Agents
- Runtime stability, performance, context efficiency, and verifiability
Please submit PRs directly to the main branch. For more details, see CONTRIBUTING.md.
- This project is spare-time exploration and research into next-generation human-machine collaboration, not a commercial profit-making project.
- This project is 97%+ built through Vibe Coding. Code feedback is welcome, and AI-assisted refactoring and optimization are encouraged.
- This project depends on and references many open-source projects. Thanks to all open-source authors. If your rights are affected, please contact us for remediation.