Memoria

OpenViking memory and context bundle for DeepSeek Harness: pre-step auto-recall and profile injection, session capture, `viking://` URI guarding, and recall/write memory tools backed by an OpenViking server.

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse

Memoria persistente supervisada por LLM para agentes de IA: recuperación basada en grafos, conocimiento entre sesiones, binario único. Funciona con DeepSeek Harness, Claude Code, OpenClaw y cualquier runtime de agentes.

Failure-recovery memory: search and record failure-recovery lessons from real engineering sessions, with BM25 + semantic RAG retrieval and a lessons knowledge base.

MemOS Cloud lifecycle memory plugin for DeepSeek Harness

Registers the local flowix-cli MCP server so the agent can search, read, create, and edit Flowix memos and mind-map artifacts.

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

The Engramory curated-memory discipline as an installable plugin ([npm: dsh-engramory](https://www.npmjs.com/package/dsh-engramory)): a deterministic 200-line / 25 KB cap on the `MEMORY.md` index via `ctx.tools.guard()` — growth denied, a shrinking rewrite always passes — plus the protocol registered as a runtime skill. The store is plain markdown, one file per fact, shared with Claude Code, Codex, Kiro, and OpenClaw.

Integración profunda con Mnemon: memoria local de tres niveles (Runtime Memory, Documents recuperables y Memory Spaces supervisados).

Plugin puro que da a DSH memoria a largo plazo entre sesiones y autoevolución en segundo plano: memoria de cinco pistas, ramas git, autorrevisión por turno, skills autoevolutivas, tareas en cuatro pistas, COI, difusión y búsqueda de sesiones, notas temporales. Sin tocar el núcleo ni el runtime.

Memoria entre sesiones acotada, por capas, sujeta a aprobación y auditable: una interfaz `ctx.memory` tipada con proveedor SQLite sin dependencias, una herramienta `memory` e inyección de instantáneas; cada escritura pasa por la puerta de aprobación y es reconstruible desde el registro de sesión.

Model-driven context compression (Active Context Pruning) for DeepSeek Harness: the model decides when and what to compress.

Cross-session memory engine for DeepSeek Harness: SQLite store + human-editable Markdown mirror, autoDream consolidation, offline semantic search (local vector/rerank/clustering), entity-attribute-timeline, Sleep Mode, custom-model autoSummarize, and 7 memory tools.

Grafo de memoria espaciotemporal multiagente con persistencia entre sesiones y recuperación filtrada por importancia.

Destilación automática de conversaciones: reflexión de subagentes en segundo plano más creación/actualización de skills.

Plugin de memoria automática para la Web GUI de DeepSeek Harness: memoria de tres capas (usuario / notas de proyecto / registros diarios) con inyección y recuperación automáticas, reflexiones diarias, panel visual y ajustes, y herencia de memorias de otras herramientas de IA.

Cache-aware local project memory for DeepSeek Harness (DSH): agents distill session work, lessons and next actions into a local JSON store (~/.dsh/dsh-memoir.json, source of truth) with a per-project PROJECT_MEMORY.md projection; bounded hot-memory (ranke

A markdown notes manager for DSH: full **MD notes manager** and **MD notes editor**, quickly capture conversations into notes, maintain notes by **syncing to Git repositories**, and **bring notes into the conversation context**.

Project-scoped cross-session memory: six-layer SQLite store (soul/user/project/fact/lesson/topic) on node:sqlite, cache-friendly first-message injection, memory_remember/search/find_similar/read/update tools, and per-window nightly consolidation ("dream").

Self-evolving team memory as plain Markdown in git: a native Cordis plugin that registers 38 bare-name memory tools plus a prompt-signals section re-evaluated at every assembly, with RPE reinforcement, decay and sleep consolidation; shares one data repo with its Claude Code (MCP) and OpenClaw hosts; verified against DSH 0.1.0-rc.6.

Memoria entre sesiones: SQLite con un espejo en Markdown editable por humanos, consolidación en segundo plano (deduplicación, fusión, resolución de conflictos) y seis herramientas de memoria.

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. Pure Python + Markdown, zero ext

Persistent AI memory backed by a local Obsidian/Codex vault: five obsidian_memory_* read/write/search tools plus a sidebar vault browser.