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.
A typed, inference-capable ontology (TBox + ABox) plugin for DeepSeek Harness — durable domain knowledge the agent declares, asserts against, and queries under schema constraints.
SGME 拾光记忆引擎:AI 全面接管记忆、技能库、WIKI 知识库三大模块,跨会话、多智能体共享记忆,AI 会一直记得你的偏好。ShiGuang Memory Engine · AI takes full charge of three core modules — memory, skills, and wiki knowledge base. Memory is shared across sessions and multiple agents, so your AI always remembers your preferences.
ArchGraph — an architecture-graph driven framework for Agentic Engineering. A long-term memory for coding agents, built on one ArchiMate 3.2 intent graph read/written through a single MCP interface.
DSH plugin for DeepSeek Harness: 25 model tools spanning PubMed, Europe PMC, PubTator3 & Semantic Scholar — entity-aware search, cross-source unified search, metadata, full text, citations, MeSH & ID tools, citation counts & recommendations — plus a personal literature knowledge graph with an AI-powered PubTator3 concept layer.
DSH Cordis plugin: turn any source text into an AI knowledge graph (facts/inferences/concepts/definitions/examples/counter-examples/rules) with two-way linking between the graph and the original text.
让 Agent 查询课程能力、清单知识点和本地学习者档案,辅助判断下一步学习。 | Let agents query curriculum capabilities, checklist knowledge, and local learner profiles to guide next steps.