Plugins

DeepSeek Harness (Cordis) plugin — bi-temporal VSA memory + cognition engine + BLAKE3 provenance, exposed as a DSH storage+session plugin. End-to-end tested with a real Python subprocess.

Git-native, auditable long-term memory for AI agents

Cross-app project memory for DeepSeek Harness with role-separated writeback, a visual knowledge workspace, confirmed corrections, session controls, local Writer and organizer settings, and an account-free Windows local installation preview.

Hub de mémoire et de connaissances DeepSeek Harness qui achemine les appels de mise à jour, de récupération et d'abonnement entre plugins compatibles, avec un backend Rust transactionnel optionnel.

Ajoute une mémoire chronologique à DeepSeek Harness : un journal de faits à largeur fixe et en ajout seul + une pyramide de résumés entretenue par l'agent lui-même, avec un budget de lecture fixe et un coût de rappel (recall) qui n'augmente pas avec le volume de mémoire.

Wiki Markdown local en guise de mémoire à long terme pour DeepSeek Harness — portage de llmwiki.

Mémoire citée sur le journal de session sans perte de DSH : les faits condensés portent des citations `(sessionId, eventRange)` qui se déplient vers l'extrait exact du journal d'origine.

Long-term memory for DeepSeek Harness, read-only as of 0.1.0: a scribe_recall tool that reads a plain-markdown memory room, path rules that refuse directory traversal, Unicode smuggling and NTFS alternate data streams, and a bounded index whose truncation is always reported rather than silent.

Deterministic cross-session transcript retrieval for DeepSeek Harness: the model-facing `recall` tool searches past session logs with explicit scope control

On-demand memory for DeepSeek Harness: session logs are distilled into layered markdown (a summary, an index and per-topic files), and a mem_query tool returns only the matched entries rather than the whole index. Nothing is injected per turn, there are no dependencies, and every entry keeps a source pointer back to the conversation it came from.

Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client

dsh (DeepSeek Harness) plugins for project-level persistent context: session archive with a mechanical index, memory consolidation (CONTEXT.md + MEMORY.md), low-frequency skill autolearn, and automatic handoff.

Project-scoped local memory with review-before-recall, source references, reversible consolidation, and a portable Cordis service; the Harness adapter provides search and settings, with optional Brain integration.

Memory plugin with built-in governance for DeepSeek Harness

Approval-gated workspace instructions and memory for DeepSeek Harness

DSH knowledge-graph memory with a better-sidebar tab and a standalone /graph-memory/app dashboard: extracts TASK/SKILL/EVENT nodes, recalls across sessions, and ships as the npm package dsh-graphmemory.

Dreaming for agents: replay recent conversations between sessions (dream_digest), reflect and write a dream journal (dream_save/journal/recall), and idempotently bridge recurring lessons into AGENTS.md (dream_bridge). Reads multi-frame zstd session archives with privacy masking on by default; six tools including a health self-check; zero runtime dependencies.

Workspace-isolated durable memory for DSH, with searchable, auditable, correctable, and removable workspace memories plus controlled global memory.

Official-grade DeepSeek Harness memory plugin backed by Hindsight (vectorize-io). Add /hindsight commands and model tools that recall, remember, inspect and forget through a Hindsight memory bank.

ego lite for DeepSeek Harness, with a memory it keeps: the agent recalls what it learned about a site before it acts, promotes a script that worked into a reusable site tool, and hands you the keyboard through a real dsh prompt when a page needs a human.

DeepSeek Harness (DSH) plugin for local-first automatic Wiki memory and native Skill generation.

Install iHow Memory as a local-first shared memory plugin for DeepSeek Harness.

DeepSeek Harness community Bundle for local, evidence-backed Agent Memory

File-based self-evolving memory for DeepSeek Harness v2: compression & extraction over official compaction, daily episodic layer, dream consolidation to semantic files (user/agent/memory/dream + project), catalog disclosure injection, no confidence machin