A
Agent Memory Distillation
Training-free knowledge transfer from large to small agents via hierarchical memory
Open SourceFree
About
Research framework enabling efficient agent distillation without fine-tuning. Transfers structured knowledge from large teacher agents to smaller student agents through three memory layers: workflow (task decomposition), semantic (domain knowledge), and episodic (execution trajectories). Allows resource-constrained deployments to leverage insights from powerful agents while maintaining performance.
Details
| Type | |
| Integrations | |
| Language |
Tags
researchmemorymulti-agentautonomousopen-sourceframework
Quick Info
- Organization
- Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Aug 10, 2026
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