MemoryForge: Synthesize lifelong memory for human-like LLM agents
Read the original at arxiv.org→arXiv:2608.00007v1 Announce Type: new Abstract: Equipping Large Language Models (LLMs) with human-like personas is crucial for agentic applications, such as role-play and user simulation. Traditional prompt-based...
Original headline: "MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents"
Coverage timeline
- Aug 4, 04:00 UTC arXiv cs.CL lead source MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents
- Aug 5, 04:00 UTC arXiv cs.AI Memory Reward Inflation in Self-Improving LLM Agents
- Aug 5, 04:00 UTC arXiv cs.AI CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization