Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

Cross-session long-term memory for DeepSeek Harness (memory palace · AGI Architecture Exploration on dsh-market): dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.

白箱AGI架构探索：元认知（自我认知循环）、持续学习（知识飞轮）、世界模型（条件空间+语义时空图）、自我改进（自举纪律）、零LLM白箱管线与可审计信任护栏。

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Local-first memory & context harness for coding agents

Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management (show/hide + reorder). 会话工作台：会话库（历史会话全文搜索与召回）+ 会话视图（标签栏显示/隐藏 + 拖拽排序）。

Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.

🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.

问山：DeepSeek Harness 地理野外实习知识图谱插件与非官方二次开发项目

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.