GBase: Building LLM Agents That Actually Learn from Their Mistakes
GBase is an open-source Python framework designed to enhance LLM agents by enabling them to learn from their mistakes. It incorporates a Recursive Self-Improvement Engine, Mirror Memory, and Quality Gate Pipelines to facilitate continuous learning and collaboration. This framework addresses common limitations in existing agent systems, allowing for more effective and adaptive AI solutions.
- ▪GBase provides LLM agents with capabilities that most frameworks lack, including a Recursive Self-Improvement Engine.
- ▪The framework uses Mirror Memory to simulate human-like memory decay and verification reinforcement.
- ▪Quality Gate Pipelines enable multi-agent collaboration with structured workflows and audit trails.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3950007) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Garylin Posted on May 25 GBase: Building LLM Agents That Actually Learn from Their Mistakes #python #ai #opensource #showdev Like many developers, I started building LLM agents by stringing together API calls and hoping for the best. It worked, for a while. My agents could browse the web, execute code, and call APIs. They could decompose tasks into sub-steps. Then I hit a wall. Every morning, I would wake up to logs of failures I'd seen the day before.
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