camel-ai/owl
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
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.
Ranks #429 of 2,794 repositories GStars tracks this week (top 15%).
The project lists 39 contributors on GitHub.
Gained 75% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Enables multi-agent collaboration for automating complex real-world tasks through an optimized AI workforce framework.
- Delivers parallel execution and full customization of AI agents with a privacy-first, open-source design for robust task automation.
- Use for automating data analysis workflows by orchestrating specialized AI agents to process and interpret large datasets.
- Use for accelerating research by deploying agents that gather, synthesize, and report information from diverse online sources.
- Use for business process automation by transforming repetitive tasks into customizable, autonomous multi-agent workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Eigent empowers you to build, manage, and deploy a custom AI workforce that can turn your most complex workflows into automated tasks.
🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework.
Our vision is to revolutionize how AI agents collaborate to solve real-world tasks. By leveraging dynamic agent interactions, OWL enables more natural, efficient, and robust task automation across diverse domains.
Eigent is revolutionizing the way we work with AI agents. As the world's first Multi-Agent Workforce desktop application, Eigent transforms complex workflows into automated, intelligent processes.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.3K-10
Open issues
119+3
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 366.3K | +106.3K | 60 | 4 days ago |
| stablyai/orca | 102.8K | +9.4K | 60 | 1 day ago |
| DietrichGebert/ponytail | 173.5K | +9.2K | 75 | 6 days ago |
| Leonxlnx/taste-skill | 101.1K | +4.0K | 75 | 2 days ago |
| ruvnet/ruflo | 78.5K | +3.7K | 40 | today |
| camel-ai/owl | 20.2K | +0 | 75 | — |
| Category median | 102.8K | +9.2K | 60 | — |
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