AutoAgent
Self-evolving multi-agent framework with adaptive cognition and elastic memory for open-ended tasks
About
AutoAgent is a research framework that enables agents to autonomously evolve their decision-making capabilities through experiential learning. Unlike traditional static workflow systems, it features elastic memory orchestration that adapts context on-the-fly, allowing agents to handle open-ended environments without predefined task structures. Designed for researchers exploring adaptive AI systems that learn from long-term experience rather than following rigid agent orchestrations.
Details
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Tags
Quick Info
- Organization
- Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Mar 12, 2026
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