Piano-key style in-conversation navigation bar for the DeepSeek Harness web GUI: one key per user message, hover preview tooltip, click-to-jump across full history. Official dual-face dsh plugin, no dsh source changes.
DSH plugin for agent-driven span compaction: compress chosen conversation spans into self-written checkpoints instead of the official head-anchored full-context sweep.
Conversation history recall for DeepSeek Harness (DSH) — literal/fuzzy/semantic retrieval of every past conversation, fully local & offline. AI never forgets what you told it.
Generic stateless dialogue compression that mimics human memory. LLM conversations stay bounded forever — no session management, no context overflow. Ships a ready-to-use adapter for DeepSeek Harness (DSH).
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
A local-first full-text memory search plugin for DeepSeek Harness, enabling fast cross-conversation search, message-level navigation, and intelligent retrieval of your AI coding history.
📦 记忆搬家：把 Claude / ChatGPT 的历史记忆搬进 DeepSeek Harness —— 逐字证据由代码回原文核对，你逐条批准，全程本地 | Move your Claude & ChatGPT memory into DSH, with machine-verified verbatim evidence
Delete one finished turn from a DSH session without deleting the session. A trash button removes that turn's question, reply and tool records from the conversation and the model context, while the session, later turns and the append-only log stay. Independent continuation of hanshenmesen/dsh-turn-delete (DSH 0.1.5-rc.2 + 0.2.0-rc.1).
Conversation enhancement for DeepSeek Harness Web — archive & manage sessions, guaranteed physical delete, drag sessions between workspaces, conversation notifications, and a branchable conversation tree.
Context compression for DSH: visually configure summary and recent-context budgets (8k + 16k by default), keep tasks on track, and search full conversation history. Friendly to small-context models.
Solidify DSH session history step by step: rewrite tool results in place to the facts the model actually kept, so long conversations stop re-sending noise every turn. Costs tokens and time: a ~770-character contract in every request, plus one extra full-context request and round-trip per step when stepSummary is on.
DeepSeek Harness plugin: when a run finishes or needs approval, get a link on your phone, hear the result from an ElevenLabs voice agent and say what to do next
