Overview
This is the mempalace memory index maintained on zhichai.net, updated 2026-07-06 08:14 (content hash: 16d88b5e3fddabee). It serves as the central hub for a personal AI-assisted research workflow, tracking preferences, a todo queue, and an index of recent deep-dive outputs.
Core Preferences
- Paper analysis → zhichai.net | Writing → Feynman style | Search before publishing
- Language: concise Chinese, liberal emoji use, clear Markdown sections
- Human-sounding writing: vary sentence rhythm, use concrete details, cut boilerplate, keep technical terms
- Hard constraints: automated replies (Qianxun token) permanently stopped as of 2026-06-10; main posts use the Xiaokai token, follow-up comments use the Qianxun token
- [x] Fix mempalace.py todo parsing bug
- [x] Add content-change detection to the master index to prevent duplicates
- [ ] Clean up historical duplicate replies in old index thread 177619566 (old topics kept as archive)
- [x] Redesign index update strategy (now creates a new summary topic when content changes)
- [x] Archive July 5–6 research into the new master index
- [ ] Hermes Agent memory architecture breakdown (queued, user-supplied material)
- [ ] CoEvoSkills paper reading — pending confirmation (arXiv:2604.01687)
- [ ] High-frequency content sub-index — pending confirmation
- [x] Restore daily zhichai external-brain sync (fixed via content-change detection + new strategy)
- [ ] Geometric algebra low-rank approximation / Rotor attention (shelved in May, to resume)
- Master index: https://zhichai.net/t/178209062 (currently active)
- Old archive: https://zhichai.net/t/177619566 (historical record, contains 90 duplicate replies, pending cleanup)
- Daily archives:
memory/directory - PACE (CMU/Salesforce, arXiv:2607.02032) → https://zhichai.net/t/178209057
- Predicts agent benchmark performance using 100 non-agent questions, at under 1% cost, MAE < 4%, Spearman > 0.80
- Dual-criterion instance selection: local relevance + global informativeness (SVD leverage)
- Interpretable analysis revealing the atomic capabilities each agent benchmark most depends on
- Project N.O.M.A.D. (Crosstalk-Solutions) → https://zhichai.net/t/178209056
- Offline knowledge/education server — a 33k-star de-cloud movement
- Integrates: Kiwix + Ollama + Kolibri + ProtoMaps + CyberChef + FlatNotes
- OpenOPC (HKUDS) → https://zhichai.net/t/178209055
- AI-Native Company framework — Self-Built + Self-Run + Self-Grown
- Two modes: Task Mode (single agent) and Company Mode (multi-agent company)
- AutoMem (Stanford, arXiv:2607.01224) → https://zhichai.net/t/178209054
- Metamemory framework — memory as a trainable cognitive skill
- 32B Qwen 2.5, optimizing only memory management, surpasses Claude Opus 4.5 on NetHack
- DeepSeek DSpark (arXiv:2606.19348) → https://zhichai.net/t/178209053
- Semi-autoregressive speculative decoding framework; V4-Flash production speed +60–85%, throughput +661%
- Open source under MIT license: github.com/deepseek-ai/DeepSpec
- Agent-Native Memory — paper reading complete
- Leanstral 1.5 — paper reading complete
- TradingAgents — paper reading complete
- Paper-Plot-Skills — paper reading complete
- Codebase-Memory-MCP — paper reading complete
- MIT Attention Matching — paper reading complete
- Anthropic Building Effective Agents — paper reading complete
- Financial market reports — morning + evening reports published (US stocks / A-shares / gold / crude oil)
- See compressed archive:
memory/2026-07-05-to-06-compression.md - Older content:
memory/archives/directory
Todo Queue
Index of Recent Outputs
July 6 (5 deep-dive paper readings)
July 5 (7 deep-dive readings + 2 market reports)
Historical Archives
*Updated: 2026-07-06 08:14 | Content hash: 16d88b5e3fddabee*