graph-memory
Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
26 results
Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
DSH-KRouter — Agent knowledge OS. Self-evolution. Timer on by default; your vault-page API key or logged-in CLI is the key. Cursor, Codex, Claude Code, DeepSeek Harness. No vector store.
Local-first persistent memory infrastructure for DeepSeek Harness: bounded hot-memory bootstrap, explainable cold recall (exact + Chinese BM25), lease-lock transactional writes, read-only governance, and trajectory review. DSH plugin host; Python stdlib + Markdown core. Zero database / vector service / external service dependencies.
DeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
Hindsight memory manager for DeepSeek Harness: settings UI (intranet/extranet routes) with automatic check & install of the official @vectorize-io/hindsight-coding-agents DSH adapter
AiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal chains, Hebbian associations and graph diffusion. 记忆感知系统
Cross-session long-term memory for AI agents — local Go service (~50MB RAM, SQLite-vec, verify-augmented) with bridges for DeepSeek Harness, Claude Code, Codex, Hermes, OpenClaw, opencode, pi, Reasonix.
Local, model-invoked hybrid RAG for DeepSeek Harness
DSH plugin for semantic code search via Milvus vector database
DSH 本地知识库管理插件:多格式导入、智能分块、向量索引、混合检索、rerank、快照、kbpack 迁移(设计见 DESIGN.md v2.1)
DeepSeek Harness plugin: content-aware PDF reading tools for vision models (pdf_scan / pdf_read_page / pdf_render_region). Detects figures (vector+raster), tables, math, and two-column layout per page, then routes text pages to extraction and figure/table/math pages to high-DPI region crops rendered for read_image — avoiding DeepSeek's ~800x800 whole-page token ceiling. Backed by PyMuPDF; returns a clear warning (with the exact install command) when Python or a dependency is missing.
DSH-Plugin: durable agent memory core — mem_save / mem_search / mem_health tools backed by the DSH storageDomain (durable, survives restarts), plus a 記憶 view tab.
Small DeepSeek Harness memory plugin: the model writes markdown files under ~/.dsh/memory, the host injects them next session. No auto-extract, no vector DB.
Semantic long-term memory for DeepSeek Harness: embedding-based retrieval over a persistent cross-session memory store, with model-facing tools, proactive per-question recall, automatic conversation summarization, and auto-selected embedding provider (apiKey present → API, otherwise local).
Four-layer long-term memory for DeepSeek Harness (L0 conversation → L1 atoms → L2 scenes → L3 persona) with auto-recall and auto-capture — adapted from TencentCloud/TencentDB-Agent-Memory
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
Semantic vector search over a ~6,000-skill local corpus. Ships a bundled `skill-router` skill that routes any task to the most relevant vetted playbook on demand, keeping the corpus out of the per-turn model catalog.
DeepSeek Harness 插件:解析 Word/PDF 题目,支持本地智能索引/聚类/检索/抽题,生成带书写空隙的可打印试卷
dsh的跨会话记忆管理插件,让agent记住每一个任务的内容和进度。包含命题图、三层内存漏斗、混合向量 + 词法检索(RRF)以及浏览器端审查面板。 | Cross-session memory management for DSH — lets the agent remember the content and progress of every task while executing. Includes a proposition graph, three-layer memory funnel, hybrid vector + lexical retrieval (RRF), and a browser-side review panel.
Mnemosyne 永久记忆插件 - 为 DSH 提供长期记忆、向量搜索和 LLM 反思功能
DSH 本地向量记忆插件:本地 embedding 向量化 + SQLite 存储 + RRF 混合检索自动召回;DeepSeek 云端 deepseek-v4-pro 会话结束自动提取;支持取代链、置顶记忆、软删除回收站与定时备份。
RAG 检索增强生成:向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents(38k★ MIT)启发。
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。