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About XTrace
XTrace is a procedural memory cloud for AI agents that captures full execution trajectories — every tool call, path, and outcome — and distills verified runs into reusable skills; teams call it through MCP in Claude and Codex, while developers wire memory into any framework (Vercel AI SDK, Pydantic AI, and others) via save()/load() APIs. It targets the waste of agents re-solving the same problem and context windows crowded with history, with official examples showing token consumption per task falling about 82% after procedure reuse.
XTrace pairs a memory layer with observability: semantic memory carries team preferences, procedural memory reuses workflows, and dashboards present token spend, human intervention, and ROI by repository and task type. Its customers are engineering and marketing departments and AI companies building their own agents, with a free-credit program for startups. Versus file-based knowledge bases, the distinction is retaining decision provenance and trajectory evidence rather than static documents.
On April 17, 2026, XTrace raised $3.3 million in pre-seed funding from Draper Associates to turn the experience of teams and AI agents into a private memory layer that moves across tools.
XTrace distils sessions, repositories and review comments into reusable guidance, pushes team standards into agents, and reports AI spend and human involvement by repository and task type; the site's example shows 264 sessions and 1.2 billion tokens, with 186 agent hours against 42 human hours.
XTrace starts with visibility into AI return on spend for engineering teams, then opens the memory layer to more agents and tools while keeping data encrypted and portable.
Felix Meng — Founder & CEO; master's degree from Stanford University and bachelor's from King's College London, with research on parallel computing and NLP systems.
Austin Cai — Co-founder & Chief Growth Officer; Yale School of Management class of 2025.
Liwen Ouyang — Co-founder.