by Pravko-Solutions · Agent Tool · ★ 608
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
| Stars | 608 |
| Forks | 40 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.75/100 |
| Last Updated | 2025-03-10 |
| Created | 2025-01-16 |
| Platforms | python |
| Est. Tokens | ~96k |
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FlashLearn is Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.. It is categorized as a Agent Tool with 608 GitHub stars.
FlashLearn is primarily written in Python. It covers topics such as agentic-ai-development, ai, ai-agents.
You can find installation instructions and usage details in the FlashLearn GitHub repository at github.com/Pravko-Solutions/FlashLearn. The project has 608 stars and 40 forks, indicating an active community.
FlashLearn is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FlashLearn on Agent Skills Hub include ralph-orchestrator, OpenAdapt, mirascope. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.