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

Agent plugin for major harnesses — DeepSeek Harness (DSH), OpenCode, Pi and Codex: define custom AI agent roles with per-role prompts, models, skills, permissions, memory and multi-agent orchestration.

终结 Agent 无限规划：认知循环让判断有来处、反馈有归因、规划必收口；记忆完全本体化（v0.4.4+）——写侧三本体条目（event 记忆本体 / fact 知识本体 / rule 规则本体）+ ontology 投影一等公民，注入段按序承载（知识→规则→事件→冷储）；判分身份职责入架构（口径一致、判据绑定来源、同题同标，漂移清单沉入判分领域本体）；联动 linghun-assembler A2A 记忆管理团队，让子智能体的判断履历反哺主脑。不是人设卡，是判断力——给 DeepSeek Harness

Git status badges for DeepSeek Harness: an input-row chip and a sidebar session-row action glyph, on every install — no patch and no manual step. Event-driven freshness over SSE.