China open-sources local memory system for AI agents: 76% persona accuracy, 61% fewer tokens
adnan_hashmi · x · 2026-07-31
A Chinese team open-sourced a fully local memory system that gives AI agents human-like long-term recall without cloud or API. Key metrics: 61.38% fewer tokens per session, persona accuracy up from 48% to 76%, task success rate up 51.52%. Works with any agent framework, 100% open source.
More from coding & agent
- ChatGPT Pairs with Custom CAD Software to Replicate Any Mechanical Part — yacineMTB · 2026-07-31
- Cursor Practice: Building Automated Verification Skills and Feature Maps for Agents — ZhaiAndrew · 2026-07-31
- Elicit Launches API and MCP Server to Power AI Agents with Scientific Evidence — elicitorg · 2026-07-31
- Agensis Update: Agents Maintain Identity and Memory Across Conversations — jasonkneen · 2026-07-31
- Open-Source Tool Makes AI Agents Think Like the Laziest Senior Dev — mariofilhoml · 2026-07-31
- Multi-Agent Visual Feedback Loop: Generating AAA Game Assets via Prompt — chongdashu · 2026-07-31