I built lightweight LLM tracing tool with CLI
Remote tool invocation from UI is clever for debugging agentic workflows.
TRACE: Temporal Retrieval And Context Engine. A self-healing B+Tree and Vector RAG architecture designed for long-term AI agent episodic memory.
B+Tree plus vector hybrid for agent memory when MemGPT and LangChain already dominate.
Developers building LLM agents with long-running conversations
MemGPT · LangChain Memory · Mem0
Remote tool invocation from UI is clever for debugging agentic workflows.
Background decay loops keep agent memory from growing forever without manual cleanup.
No LLM in the critical path — deterministic retrieval beats vector search latency.
Iteratively improves agent harnesses from 67% to 87% on tau-bench using production traces.
Machine-parseable traces for LLM agents when pdb and breakpoint() are useless.
96.6% LongMemEval score using verbatim storage instead of AI summarization.