Tags
ai-agents, diagnostics, llm, memory
Change history
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Tags
ai-agents, diagnostics, llm, memory
Short bio
Open architecture for diagnosing memory failures in long-running LLM agents
Description
An open architecture for diagnosing the memory failures of long-running LLM agents, such as using stale memories, re-asking what has already been recorded, or ignoring rules, by cause instead of lumping them all together as a retrieval problem. It breaks issues down by component: RAG, hooks, guards, harnesses, and so on. Useful for developers operating long-running agents.
Subcategory
— → ai-agent
Business model
— → Free
Product type
— → Tool
Target audience
— → Developer
Product registered