Mindspace Session Memory for DeepSeek Harness

<p align="center"> <img src="assets/repository-logo.png" alt="DeepSeek whale community artwork" width="280"> </p>

An installable DeepSeek Harness community plugin for editable, session-isolated personalization memory. It keeps continuity and user control in the same place:

• a roughly 300-character profile separating confirmed user facts from AI observations, while DSH compaction stays internal;
• editable preferences and assistant instructions consolidated into at most three categorized cards each;
• a relationship identity and a purpose for each conversation;
• an identity-continuity guard: a session mission remains the model's identity

while coding and other work are capabilities, rather than competing personas;

• an optional roleplay preset isolated to one session;
• model-facing get_session_memory and update_session_memory tools;
• conservative automatic extraction from explicit user statements;
• category-based conflict replacement with stable card ids and a visible append/merge/replace/skip audit trail;
• a one-time, optional role/purpose/style question when a new session has no personalization.
• archived conversations disappear from the Memory Center selector immediately;

their data is retained only for a deliberate session restore, never injected or editable while archived.

0.2.27-rc8: Identity continuity across work and compaction

When a session has an explicit relationship/mission, it now supplies the only identity declaration for that agent scope. The Web deployment's former “coding agent” persona is replaced in that scope by a role-neutral statement of available Harness capabilities. Sessions without a mission retain the ordinary Harness persona unchanged.

• Coding, research, planning, administration, and roleplay are explicitly

framed as ways to carry out the session mission, never an identity switch.

• The same identity section instructs compaction to retain transient task and

conversational state only. It must not turn the identity into a historical “user request”, repeat it, or overwrite it in a checkpoint.

• This changes prompt composition only. Harness tool availability, sandbox,

approvals, and safety policy are not weakened or replaced.

Session-scoped context compaction

The Memory Center now exposes a session-isolated context-compaction policy. Users can enable it, set the trigger ratio, retained recent context, and summary limit, or run a manual compaction before the threshold is reached. The policy is persisted in the session-keyed sidecar and never changes another conversation.

• The conversation surface is condensed while the summarizer still receives

the current system context for cache alignment. The session identity explicitly instructs it not to copy, reinterpret, or overwrite identity, profile, relationship, or roleplay state in a checkpoint.

• The prior summary is included as input to avoid losing durable context across

repeated compactions.

• The compaction prompt prioritizes facts, decisions, constraints, open work,

and reusable conclusions while dropping greetings, repetition, and tool logs.

• DSH remains the compaction executor; this plugin supplies the session policy

and the visible user controls.

This is a community plugin and is not an official DeepSeek project. The repository artwork is supplied by the project owner and is used only to identify this repository.

Memory-governance foundation (introduced in 0.2.0)

Version 0.2.0 turns the first editable-memory prototype into a governed, session-scoped personalization layer for DeepSeek Harness:

• the public compaction-summary override is replaced by a 300-character user profile

that separates confirmed facts from clearly labelled AI observations;

• preferences and assistant requirements are consolidated into at most three

categorized cards per section instead of growing as disconnected fragments;

• corrections replace conflicting information while preserving stable card ids;
• automatic extraction proposes a complete next state and an atom-by-atom

handled/skipped ledger, so partial model output is rejected atomically;

• append, merge, replace, and skip activity records expose source message sequences,

before/after values, reasons, and timestamps;

• legacy V1 and V2 session-memory events are imported once into a durable,

session-keyed sidecar without rewriting the conversation log;

• repeated legacy fallback categories are repaired during replay instead of locking all later writes;
• assistant names, nicknames, self-designations, and relationship-specific titles have a dedicated

identity action and are never routed into the user's profile or preferences;

• relationship missions and roleplay presets remain independently scoped to each

conversation.

The contribution is deliberately tree-out: one installable dual-face DSH bundle owns the Host service, sidecar persistence, prompt/tool integration, extraction hook, Typert descriptor, Remote, and settings UI. It does not replace DSH compaction semantics or require an upstream source patch, making the memory-governance layer independently installable, auditable, and removable.

Confirmed/observed profile and categorized preferences

<p align="center"> <img src="assets/memory-center-v2-profile-preferences.png" alt="V2 profile and categorized preference cards" width="780"> </p>

Session role preset and visible memory audit

<p align="center"> <img src="assets/memory-center-v2-role-audit.png" alt="V2 role preset and memory activity audit" width="780"> </p>

The V2 acceptance run passed 10 automated tests, build and package checks, real model write/merge/replace flows, cross-session isolation, and persistence after restarting the default Web profile.

Install

This README describes current main. It does not point at a nonexistent Release tarball: build the prebuilt package from a pulled checkout, then install it from the official Harness checkout root.

git clone https://github.com/Spirtxiaoqi7/mindspace-dsh-session-memory.git
Set-Location .\mindspace-dsh-session-memory
corepack pnpm install
corepack pnpm run build
corepack pnpm pack --pack-destination dist
$memoryTgz = (Get-ChildItem .\dist\mindspace-dsh-session-memory-*.tgz | Sort-Object LastWriteTime -Descending | Select-Object -First 1).FullName

Set-Location C:\path\to\deepseek-harness
corepack pnpm dsh plugin --profile web add $memoryTgz
corepack pnpm dsh --profile web --dump-config
corepack pnpm dsh web

Do not run pnpm dsh in the plugin directory or require a global dsh: that command belongs to the official Harness checkout. The repository has no install-time build script; the commands above explicitly create and install the tarball. Historic GitHub Releases map only to their respective tags and do not represent the current main feature set.

How it composes

The package is one DSH bundle with one dual-face row. On the Host it mounts the memory service, sidecar persistence, prompt contribution, model tools, extraction hook, and Typert descriptor. The same package declares its Web client contribution, which self-mounts the generated Remote descriptor and registers the settings page.

It does not patch DSH source, api-remotes, the built-in bundles, or root TypeScript projects. Removal is therefore one command:

corepack pnpm dsh plugin --profile web remove mindspace-dsh-session-memory

Data and model calls

Memory changes live in an atomic sidecar at DSH_HOME/mindspace-session-memory/v1, keyed by session id; the canonical DSH conversation JSONL is never modified by this package. Legacy memory events are imported once on first access. The UI reads and replaces a whole versioned document with optimistic revision checks. Automatic extraction is opt-in (disabled by default): when enabled it may make one auxiliary model request after a completed root-agent turn only while editable memory utilization is below 20%, and skips a turn that already made a model-owned memory-tool write. Above that threshold, the primary model alone decides whether to use the memory tools. System prompts, RAG, compaction summaries, and event history are not counted. The auxiliary budget defaults to 6000 tokens. A proposal must contain the complete next state plus a handled/skipped ledger for every extracted atom; invalid or partial output is rejected atomically. Confirmed facts and cautious observations remain separate, and inferred sensitive facts are rejected by policy.

Enable automatic extraction in a later profile patch only if you want the cold-start fallback in addition to model-tool/manual writes:

- id: mindspace-session-memory
  name: mindspace-dsh-session-memory
  config:
    maxTextBytes: 4096
    maxItemsPerSection: 3
    maxProfileCharacters: 300
    autoExtract: false
    autoExtractBelowUtilization: 0.2
    extractionMaxTokens: 6000

Compatibility

The initial release targets the public DeepSeek Harness 0.1.0-rc family and Node 22.19+ or Node 24+. Harness is currently a developer preview; breaking upstream changes may require a plugin update.

Version 0.2.35 is qualified against DeepSeek Harness 0.1.1-rc.2 and declares the stable 0.1.1 line as its compatibility floor. It owns the distinct mindspaceSessionMemory Remote and does not patch or disable in-tree memory rows. Because DSH owns compaction inside standing Agent presets, the plugin resolves the stock provider through each live agent.ctx; it never revives the disabled host-plane engine. The Harness checkout therefore remains unmodified. Do not install it together with a legacy in-tree Mindspace memory implementation: migration keeps one owner for each session-memory schema and Remote namespace.

Development

pnpm install
pnpm run build
pnpm test
pnpm pack --pack-destination dist

The generated Typert descriptors are committed under src/generated/. The build rescopes their package identity and bundles the browser Remote with the UI.

Chinese documentation: README.zh-CN.md

License

MIT