graph-memory
Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
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Knowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
TiddlyWiki 5 as the DSH persistent knowledge base: fifteen tiddlywiki_* agent tools (filtered search/recent/tags/batch/rewrite/trash/lint + git sync & conflict resolve), a full TiddlyWiki editor embedded in the GUI center column (same-origin proxy, works
Install the full dsh-mnemon integration from the Mnemon repository.
Deployment scripts for MisakaNet Workers
Local and remote knowledge bases for DeepSeek Harness, with scoped recall, controlled write-back, and a Web management console
Local-first memory & context harness for coding agents
Token usage accounting for DeepSeek Harness, attributed to the relay site that served each request — no configuration, no credentials
Realtime WebGPU ocean skin for DeepSeek Harness on Chrome and Edge
Curated file-based long-term memory for DeepSeek Harness — discovery manifest for the installable plugin in adapters/dsh/plugin/
Turn-level conversation and workspace rewind for DeepSeek Harness, powered by a persistent Change Ledger
Agent-first task board for the DSH web GUI: host-authoritative task ledger with taskboard_* agent tools, project (= workspace) claim boundaries, per-task model execution in fresh sessions, optional per-task git-worktree isolation (dedicated task branches,
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Visual conversation map for DeepSeek Harness: an infinite whiteboard where every session is a card — drag to arrange, double-click to start a chat in place, draw an edge to fork a new session with injected context. Built for ADHD-friendly spatial memory. · DSH 可视化对话地图:会话即卡片,双击即聊,连线分叉带上下文的新对话。
Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with you—no need to start over.
Local-first DeepSeek Harness control center for balance monitoring, usage accounting, time-aware custom third-party API pricing, a 365-day local token ledger, Z.ai Coding Plan quotas, official pricing sync, encrypted multi-account switching, reminders, recharge, and host-gated session controls.
Proactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
AI deep-reading assistant for DeepSeek Harness and dsh-TUI: extract traceable claims, evidence, confidence levels, knowledge maps, and review questions from articles, books, PDFs, files, URLs, or pasted text.
DSH Research OS — a fully automated scientific research plugin for DSH (DeepSeek Harness): survey, idea, experiment contract, durable runner jobs, claim-evidence ledger, manuscript and release bundle.
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.
The dsh-plugin-guide knowledge base plus the dsh-plugin-dev CLI toolchain: official docs, Cordis primer, community deep-dives, and battle-tested pitfalls registered as an on-demand agent skill, with a scaffolder, static checker, and pack verifier for building DSH plugins.
Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel
Give your DSH agent hands: drive a real browser (Edge/Chrome over CDP) from the chat, with a live draggable cockpit panel in the Web GUI. Zero runtime dependencies, no API key, one command install.
OMK — Observe. Measure. Know. Evidence-backed knowledge changes for AI applications.
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.