Plugins

Adds an editable conversation canvas to DeepSeek Harness, where graph connections select context for canvas requests, with branching, merging, and local agent session imports.

Traceable, searchable cross-session memory for DeepSeek Harness — conversation knowledge as typed graph nodes (TASK/SKILL/EVENT) and typed edges.

White-box AGI architecture exploration: metacognition (self-cognition loop), continual learning (knowledge flywheel), world model (condition space, spatiotemporal memory graph), self-improvement (bootstrap discipline), zero-LLM white-box pipeline, and auditable trust guardrails.

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.

ThoughtDAG for DeepSeek Harness: turn the current DSH session into an editable thought graph on an infinite canvas.

🌌 Mebular · shared memory and task collaboration for agents. Through a DSH-native plugin, it provides cross-device, cross-agent memory sharing and task-graph capabilities — so physical devices are no longer the boundary of your agents. Secure, controllable, and decentralized! The plugin attaches to an existing Mebular app or CLI runtime; when none exists, the panel installs the shared runtime on demand, and it never starts or downloads Mebular silently.

Other memory plugins help your agent remember more. This one decides what is allowed to count: agents propose, a human approves (three-store gate + immutable audit log), and recall runs on SQLite FTS5/BM25 with zero model calls (measured p50 2.3ms). A token ledger shows what recall actually cost. One vault for DSH, Claude Code, Codex, Cursor, OpenClaw, Hermes, MengBot and any MCP client. v0.31 adds five one-click skins (Default, Pop, Light, Resident Evil, Spider-Man) with full-bleed theme banners and per-skin hover contrast.

Long-term memory for DSH agents — durable, inspectable memories with recall, search, browse and knowledge-graph tools, import from ten other AI coding tools, and a settings page.

Cross-session long-term memory as a local SQLite store: dual scopes (user + per-git-origin project), hybrid FTS5 + local-vector retrieval fused with RRF, an evidence gate that forces an explicit sufficiency judgement, provenance audit chains, SM-2 spaced-repetition review, consolidation distillation and decay forgetting, and a nine-view "Memory Palace" sidebar panel. 22 narrow-parameter tools, no external service, no API key, no Docker.

Mebular memory, task graph, and shared Console for DeepSeek Harness

A self-contained second brain for DeepSeek Harness — auto-captures durable dialogue knowledge into a local Markdown vault (custom dedup, CJK search, git-friendly), with a graphical knowledge base and an interactive knowledge graph (legend filter, time-dimension coloring, box-select, merge, delete, PNG export/import).

ShiGuang Memory Engine (SGME) bridge: multi-agent shared long-term memory via HTTP — L0/L1/L1.5/L2 distillation, scenario-based injection, unified search, and proactive care signals (memory_search / wiki_search / signal_pull / signal_claim / signal_ack), installable as `dsh-sgme`.

Connects DSH to a local FULI install: each turn gets FULI's task entry (saved preferences and project facts) as a context message, a completed turn closes its FULI task, and FULI's MCP tools are mounted. Requires FULI 0.27.0 or newer on the same computer.

One memory layer for every AI tool and agent: Context Bundle injection, prompt-time recall, MCP tools, and turn-end DSH thread capture.

A local-first research workspace for DeepSeek Harness: PDF annotations, AI reading, citations, knowledge graphs, LaTeX and slides.

Literature research toolset registering 26 model tools over PubMed, Europe PMC, OpenAlex, PubTator3 and Semantic Scholar: field-syntax search, ID conversion, bibliographic lookup, citation formatting, MeSH and related-article walking, PubTator bioconcept resolution and relation queries, Europe PMC and Semantic Scholar paging, full-text retrieval, and open-access PDF discovery with optional download. A unified search deduplicates hits across sources and orders results by cross-source hits, then relevance, then citation count; a session knowledge graph with PubTator concept enrichment commits to a persistent user graph and renders as Mermaid. Most sources need no key.

Draggable bubble graph of DeepSeek Harness workspaces and sessions in the Web UI: workspaces are large bubbles, sessions are small ones, and lines show real membership. The canvas supports pan, zoom and fit; filters cover workspace, status, type and archive state; search covers workspace names, paths and session titles; native actions open or create sessions, rename workspaces, and archive or restore sessions. Layouts are saved in the browser.

A read_graph tool backed by a codebase knowledge graph (CONTAINS / EXPORTS / IMPORTS / IMPORTS_SYMBOL relations).

Codebase Memory MCP bridge for DeepSeek Harness: six knowledge-graph code tools, auto-started background daemon with visualization Web UI, and bundled agent skill.

Self-tending living memory in one local SQLite file — a nightly patrol dedupes, merges, decays and cross-links entries on its own, with seven-signal RRF hybrid recall (FTS5 + jieba Chinese-first tokenization, optional vector KNN, graph PPR), a typed knowledge graph, conflict detection instead of silent overwrites, and web telemetry panels.

Dual knowledge-graph RAG for Markdown notes with half-life memory decay: prerequisite + similarity graphs (P/S-Agent traversal), paragraph chunking, n-gram/embedding hybrid search, and an explicit weight-feedback loop — a native Cordis plugin, npm-installable as @eqman00003/knowlp-rag.

Vector + graph memory backend: observe/remember/search/recall tools against a local memoria server, fusing HNSW semantic recall, FTS5 keyword search, and knowledge-graph signals via RRF ranking, with automatic turn-end persistence and per-agent namespace isolation.

DeepSeek Harness 插件：把想学的知识拆成游戏天赋树，学会一个点亮一个 · A game-like learning talent tree for DeepSeek Harness

Renders .ttl, .owl, .rdf, .jsonld, .nt, .n3, .nq and .trig ontology files as an interactive graph in the DSH sidebar preview, with local Turtle, N-Triples, RDF/XML and JSON-LD parsing and no runtime dependencies.