Memory

Cross-session memory for DeepSeek Harness. Local memory store by default, optional GitHub-backed sync (git), with primary/child roles for multi-device setups.

Cross-model continuity for DeepSeek Harness: memory, skills and rules live in local files, so judgement survives session and model changes. Not about storing more memory — about using it well after the model changes.

Life Cards — 把你认识的人和虚构角色写成档案。在对话里问出来，或导入酒馆角色卡；数据是你自己文件夹里的一组 Markdown 文件。

Build trustworthy ontologies from data, documents and code — a Palantir-style ontology builder plugin for DeepSeek Harness

Agent memory with a forgetting curve: entries gain weight when mentioned, shrink when forgotten, and pinned entries never decay. Six tools and a settings panel.

Long-term notes and daily journals kept per workspace in a hot/cold archive, each tier with its own index and rebalanced once a day; read and written through seven memory_* tools, with a settings page for per-workspace options.

Long-term memory kept as blocks: one event per block, written to a local append-only event log with a block view and derived indexes, so a full history stays recoverable while only the matching blocks reach the context. The model saves entries with memory_remember and pulls the relevant few with memory_recall, plus one automatic recall pass before each step. Data stays in ~/.beme; no external service and no API key.

Turns archived sessions into durable memory instead of dead disk. Distils each archive into reusable skills, a fact ledger with ADD/UPDATE/NOOP decisions plus validUntil and supersededBy so stale facts retire instead of piling up, and topic clusters by single-linkage similarity. Also digests sessions that are still in progress through a read-only seq watermark, leaving the session log byte-for-byte untouched, and can self-check the growing memory to merge duplicate facts, retire stale ones and consolidate duplicate skills — measuring only unless you opt in, and never hard-deleting, only superseding.

Distills daily chats into an updatable character card and a cross-session emotion module that trains the persona.

Local long-term memory for DeepSeek Harness with SQLite storage, automatic extraction, semantic recall, corrections, reliable forgetting, and an in-app summary dialog.

Trim tools for long chats: trim_context / estimate_context_tokens keep the system persona and the last message, drop the oldest user/assistant pairs to fit a turn or token budget, and report before/after estimates; the conversation is not trimmed unless something calls the tools.

Cross-session long-term memory for DeepSeek Harness: pinned rules injected every turn, the rest recalled by IDF-weighted keyword evidence, fact-key dedup, plain JSON storage, and a settings page to edit or delete entries.

DSH-elysia — shared Markdown memory for every DSH session: persona, requirements, corrections, lessons, methods, requests, sessions, a method library and ingested documents, mirrored to a second disk with version snapshots and a cross-process write lock; entries move between the main file and a searchable archive by hit frequency and repeated emphasis, and retrieval is keyword co-occurrence plus BM25. Ships a skills library (SKILL.md playbooks with optional guarded run.mjs execution), a sticker library that sends a fitting sticker at the right moment, and — new in 1.10 — Memory Packs: a bundled, opt-in character memory (packs/elysia: 61,903-char identity + 2,482-char persona distilled from 1,696 official voice lines and 112,175 dialogue lines). Packs are off by default, back up before writing, only touch identity/persona, and can be uninstalled to restore what was there.

Six-tier memory plugin that captures each conversation turn, injects a stable memory block as a user snapshot, and compacts the host's own history into a single placeholder without calling a model.

Adds a `muse` subagent provider and the `subagent_muse` tool to DeepSeek Harness, so the main agent can hand one self-contained task to the Meta Muse Code CLI and get back only its final report. A patched fork of `@pascapone/dsh-muse-code` that loads on DSH 0.2.1: it carries local equivalents of the removed `settleRun` export and `subagents.start` method, and documents an optional proxy for the gateway stream-phase bug. Needs the `muse` CLI installed. Install either this fork or the upstream @pascapone/dsh-muse-code, not both: both register the same subagent-muse loader row.

Recovers a DeepSeek Harness turn that ended with reasoning only, with no text and no tool call, by steering the same turn one more step. Structure-only detection, so it costs no extra model call.

Long-term memory backed by a local SQLite store: project-scoped memory auto-injection with junk filtering, rule-based or model-assisted memory extraction from recent turns, write-side dedup and feedback-weighted ranking. The Python bridge runs on $NEXUS_PYTHON or the DSH-bundled interpreter at <DSH home>/dsh-runtimes/dsh-primary-runtime/dependencies/python/ (Python 3.8+).

Layered cross-session memory kept as plain YAML: facts carry a version history instead of being overwritten, a briefing is injected at session start, and a nightly pass consolidates and shards by topic past a threshold. Zero runtime dependencies, so it also runs inside the dsh Android app (verified there).

Configurable personas, separate reply generation, and evidence-backed memory with review and correction for DeepSeek Harness.

memcue long-term memory for DeepSeek Harness (dsh): the model searches and writes its facts itself

深鲸记忆：跨会话热记忆（每轮注入 MEMORY/USER + memory 工具读写）+ 记忆体检、瘦身归档、记忆包、诊断报告、文档只读。本地明文、零依赖、不上传数据。

A memory plugin for DeepSeek Harness: set its name, personality and character; it forgets only trivial things, keeps what matters, and marks and remembers what is special to you.

Gives a DSH agent five layers of persistent memory kept as plain Markdown files — persona, speaking-style rules, daily diary, session archive and open loops — rebuilds a system-prompt section from them within a minute of a file change, and adds three tools (memory_read, memory_write, memory_search) plus an importer for migrating an existing memory directory.