InfinitiBit/graphbit
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 130 days ago, with 24 contributors on GitHub.
Gained 56% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides an enterprise-grade agentic AI framework with a Rust core and Python wrapper for building multi-agent workflows efficiently.
- Delivers unmatched speed, security, and scalability with significantly lower CPU and memory usage than alternatives.
- Use for developing resource-efficient, type-safe AI agent workflows in high-scale enterprise environments.
- Use for deploying multi-agent AI systems on low-resource edge devices requiring reliability and fault tolerance.
- Use for integrating multiple LLM providers and tools into complex, observable AI workflows with built-in concurrency controls.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Type-Safe AI Agent Workflows with Rust Performance
Graphbit is an industry-grade agentic AI framework built for developers and AI teams that demand stability, scalability, and low resource usage.
Written in Rust for maximum performance and safety, it delivers up to 68× lower CPU usage and 140× lower memory footprint than certain leading alternatives while consistently using far fewer resources than the rest, all while maintaining comparable throughput and execution speed. See benchmarks for more details.
Designed to run multi-agent workflows in parallel, Graphbit persists memory across steps, recovers from failures, and ensures 100% task success under load. Its lightweight, resource-efficient architecture enables deployment in both high-scale enterprise environments and low-resource edge scenarios. With built-in observability and concurrency support, Graphbit eliminates the bottlenecks that slow decision-making and erode ROI.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
119+1
Open issues
6+1
Compared with peers in AI
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 |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| InfinitiBit/graphbit | 588 | — | 42 | 130 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
Discover Repositories
Search across tracked repositories by name or description