ToolMemory: Long-Term Memory Management for Agentic Workflows
Framework enabling agents to maintain tool-specific memory across extended conversations, pruning irrelevance while preserving critical knowledge.
Memory has been agentic AI’s Achilles heel—agents forget tool APIs mid-conversation, repeat failures, bloat context. ToolMemory fixes this with per-tool namespaces, embedding-based retrieval, and a verifier that prunes 70% of noise. Production-ready with Docker demos.
What changed. Agents now ‘remember’ tool behaviors across sessions like humans do.
Why it matters. Enables true multi-hour autonomy in CRM, devops, and research agents.
Builder takeaway. Deploy the framework in <1hr; scales to 10k+ tool calls. Paper