dsh-mnemon
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
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Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Recursively isolated follow-ups for DeepSeek Harness: branch from any answer and keep branching at any depth without touching the main task.
Codex-style temporary side conversations for DeepSeek Harness.
Native continuity recovery for long-running DeepSeek Harness agents
Generic stateless dialogue compression that mimics human memory — forgetting-curve bounded context for LLM conversations, with a ready-to-use adapter module for DeepSeek Harness (DSH).
Adaptive Reversible Context (ARC) for DeepSeek Harness — provider-aware, cache-conscious context governance with reversible recovery.
DSH 记忆管理插件(宿主级,标准化重写版):文件夹记忆库、印象、组合与双向链接、会话级注入计划与消息注入、规约记忆与最近会话总结的新会话自动注入、会话总结、跨工作区会话列表、6 个 Agent 记忆工具、左侧图谱双视图浮层与消息跳转、设置页开关。只依赖 DSH 核心扩展点(settings/tools/agent 事件/webServer),功能实现自包含,官方升级影响面最小。
Model-driven context-window rollover bundle for the DeepSeek Harness: fresh working context, durable model-managed notes, a small verbatim recent tail, and targeted history recovery — no summarization.
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.
PRO-LONG-style programmatic memory for DeepSeek Harness: appends every session event to a per-workspace log.txt that the agent retrieves with grep/python. Built-in write probe, /prolong status command and permission-deny counter.
DeepSeek Harness dynamic context pruning plugin (model-driven context management)
Minimal epoch bootstrap, full-tool promotion, and hard handoff compaction for DeepSeek Harness
Token-efficient tool-result pruning policy for DeepSeek Harness presets.
Context Transparency Manager: the model context as a visible, editable, effectiveness-scored surface (self-contained dsh bundle plugin)
High-fidelity, faithful, bilingual, recursive compaction backend for DeepSeek Harness — a drop-in upgrade over dsh-compaction-basic.
Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.
Keeps long coding-agent sessions lean: wrap work in named tasks and, when one is done, fold its whole span into a short titled summary. The conversation stays readable, context costs stay low, and every fold's original content can be read back on demand. For DeepSeek Harness.
Agentic Surface Compaction (ASC) for DeepSeek Harness: the model decides when and what to compact, committed as durable session-log replacements with full replay, search, and degradation
DSH 上下文管理插件:任务边界、项目帧、自动判别与上下文优化(开发中,R2 判别域 P8–P14b1 已施工)
Reusable trajectory-tree context, exact-turn forks, and bounded cross-session recall for DeepSeek Harness
Agent instruction manager for DeepSeek Harness: edit, refine, and template the AGENTS.md files the harness actually reads — the user-global ~/.dsh/AGENTS.md and per-workspace AGENTS.md — from a sidebar panel.
High-fidelity, faithful, bilingual, recursive compaction backend for DeepSeek Harness — a drop-in upgrade over dsh-compaction-basic.
DSH plugin: Codex-style context management — token-budget notice, model-facing new_context, and handoff reset instead of summary compaction.