GCWing/OpenBitFun
OpenBitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 44 contributors on GitHub.
The biggest single-day gain in the last year, +176 stars on Oct 23, coincided with release nightly.
Use Cases & Benefits
- Combines a high-performance Rust-based agent runtime with a polished desktop app to autonomously complete long-horizon AI tasks across coding and office workflows.
- Enables seamless integration of AI agents with real desktop environments, supporting extensible workflows and efficient context handling for complex tasks.
- Use for automating complex software engineering tasks including coding, debugging, testing, and managing real repositories with AI assistance.
- Use for transforming source materials into polished office deliverables like reports, presentations, and meeting notes using AI-driven workflows.
- Use for extending AI capabilities with custom agents, skills, and mini apps to tailor productivity systems for diverse professional and research environments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
BitFun is a local AI workbench built around a Code Agent designed for long-horizon tasks, engineering execution, and token economy.
It can understand complex context, call tools, wait for results, correct deviations, and keep long-horizon tasks moving until they reach a deliverable state. Coding, research, office work, documents, desktop operations, and extensible workflows all happen in the same local desktop environment.
Core goal: move AI from iterative Agent Loop execution into a productivity system that can autonomously complete long-horizon work.
The data below evaluates BitFun's core Agent capabilities. All measurements use Deepseek-V4-Pro and are grouped into completion results, token economy, and other experience metrics.
The current numbers are BitFun's initial evaluation results, with each case run once. Benchmarks can fluctuate with task sampling, model versions, runtime environment, and single-run variance, so these scores are meant as an initial sanity signal that the current Agent is already reasonably capable, not as a fixed ranking claim or final ceiling. We will keep optimizing and release full benchmark details later.
BitFun leads Open Code and Claude Code on both SWE-Bench-Pro and SWE-Bench-Verified. SWE-Bench-Pro focuses on complex software engineering, while SWE-Bench-Verified focuses on human-verified GitHub issue fixes.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,904 stars over 90 days across 25 snapshot days; best day +176 on Oct 23.
Forks
296+120
Open issues
96-12
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| GCWing/OpenBitFun | 3.5K | — | 40 | today |
| Category median | 55.5K | +6.6K | 40 | — |
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