plastic-labs/dsh-honcho

Honcho integration for the DeepSeek Harness

Project Overview项目介绍

This is a Honcho-powered persistent memory plugin for DeepSeek Harness. It gives DSH cross-session memory, auto-stores conversations, decisions and preferences, provides memory tools and shares memory with other Honcho integrations. Use it when you need to retain context across sessions; it requires a Honcho API key and matching Node version.

这是基于Honcho的DeepSeek Harness持久化记忆插件。它为DSH提供跨会话记忆,自动存储对话、决策与偏好,支持记忆搜索、推理总结和手动保存,可与其他Honcho集成共享记忆。需要保留跨会话上下文时使用,注意需要配置Honcho API密钥,对Node版本有要求。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add @honcho-ai/dsh-honcho

plastic-labs/dsh-honcho 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-honcho

Persistent memory for DeepSeek Harness, powered by Honcho.

dsh forgets everything when a session ends. This plugin gives it memory that doesn't: what you're building, how you like to work, what you decided last week and why. It reads the same ~/.honcho/config.json as the other Honcho integrations, so there is one place to configure all of them — and pointing two of them at the same workspace gives them one shared memory.

Install

dsh plugin --profile <name> add @honcho-ai/dsh-honcho

Then put your API key and name in ~/.honcho/config.json:

{
  "peerName": "your-name",
  "auth": { "apiKey": "${HONCHO_API_KEY}" },
  "hosts": {
    "dsh": { "workspace": "dsh" },
  },
}

Get a key at app.honcho.dev. HONCHO_API_KEY in the environment also works on its own — the config file is only needed to change defaults.

What it does

Injects what Honcho knows at the start of a session — your profile, a summary of this project's session so far, and the conclusions Honcho has drawn that are relevant to what you just asked. One API call, shaped to a character budget, refreshed as you work.

Captures every turn. User and assistant messages go to Honcho in the background, debounced, and flushed at turn boundaries, before compaction, and on shutdown. Secrets are redacted first.

Gives the model three tools:

Tool For
honcho_search Looking something up. Searches raw messages and derived conclusions.
honcho_chat Asking a question of judgment. Reasons over everything Honcho knows. Slow.
honcho_remember Saving a durable fact, preference, or decision.

/honcho shows status and a link to the session in the Honcho dashboard — see Commands below.

Configuration

Everything behavioral lives in ~/.honcho/config.json under hosts.dsh — the same file claude-honcho, codex-honcho, and the other integrations read. Root holds identity and connection; the host block holds behavior.

{
  "peerName": "your-name",
  "workspace": "honcho",
  "baseUrl": "https://api.honcho.dev", // bare host or …/v3 both fine
  "timeoutMs": 30000,
  "auth": { "apiKey": "${HONCHO_API_KEY}" },
  "enabled": true, // global kill switch
  // sessions may also sit here as a fallback; the host block wins

  "hosts": {
    "dsh": {
      "workspace": "dsh",
      "aiPeer": "dsh", // defaults to the host name
      "observationMode": "unified", // unified | directional
      "sessionStrategy": "per-directory", // see Sessions below
      "sessionPeerPrefix": true, // session names are <peer>-<dir>
      "sessions": { "/path/to/repo": "pinned-session-name" }, // pin a session
      "injection": {
        "sessionStart": ["directives", "summary", "peerCard"], // + representation
        "perTurn": ["userContext", "dialectic"], // userContext = representation + card
        "tools": true,
        "searchTopK": 10,
        "searchMaxDistance": 0.6,
        "maxConclusions": 15, // how many conclusions Honcho RETURNS
        "maxRenderedConclusions": 4, // how many survive filtering into the prompt
        "contextTokens": 1500,
        "cadence": { "dialectic": 5, "ttlSeconds": 300 },
        "dialectic": {
          "reasoning": "low", // minimal | low | medium | high | max
          "maxChars": 600,
        },
      },
      "capture": {
        "saveMessages": true,
        "saveToolUse": false, // one-line summaries of tool activity
        "writeFrequency": "async", // async | sync
        "noisePatterns": [], // additive to the built-in secret patterns
      },
      "messageUpload": {
        "maxUserTokens": 6000,
        "maxAssistantTokens": 6000,
      },
      },
    },
  },
}

Injection components

The two menus differ in cadence, not in what they can carry.

injection.sessionStart is injected once when a session opens: directives (guidance on using memory), summary, peerCard, representation.

injection.perTurn refreshes as you work:

  • userContext — a fresh, prompt-scoped peer context blob: representation + peer card, retrieved using your current message as the search query so recall is associative rather than merely recent. It is a bundle, so it supplies both regardless of what sessionStart names. To get one without the other, name it in sessionStart and set perTurn: [] — at the cost of per-turn refresh.
  • dialectic — a reasoned answer about you, run every cadence.dialectic turns and shaped by injection.dialectic. Nothing waits on it after the first turn, so a late answer reaches the next one.

Components the canonical schema names but this plugin does not implement — briefing, assistantContext, sessionContext — are reported at startup rather than silently dropped, as are schema keys it does not act on (showContents, statusline, globalOverride, granular observation, multiUser) and any key renamed since an earlier version. Nothing here is accepted and quietly ignored.

The plugin's own cordis.yml config carries plumbing only — configPath, apiKeyRef, host, enabled. Set host to run a credential-isolated profile ("dsh_work") against the same install.

Sharing memory with other integrations

Each integration defaults to its own Honcho workspacedsh here, claude_code for claude-honcho — and a workspace is the isolation boundary, so by default they do not see each other's memory. Point them at the same workspace to merge them:

"hosts": {
  "dsh":         { "workspace": "shared" },
  "claude_code": { "workspace": "shared" }
}

Keep peerName identical across them too, since conclusions are stored per peer.

Sessions

Default: one long-lived session per project directory, named <peerName>-<dir>, matching claude-honcho. Pin a different name for any path with the root sessions map — an override always wins.

sessionStrategy Session name Notes
per-directory (default) <peer>-<dir> Stable across restarts and branches
per-repo <peer>-<repo-root> Same memory from any subdirectory
git-branch <peer>-<dir>-<branch> Falls back to per-directory outside a repo or on a detached HEAD
per-session <peer>-chat-<id> A clean slate every restart
global <peer> One memory for everything

Prefer the wider scopes. Honcho's guidance is not to scope sessions too thin: the background Deriver needs a single session to accumulate enough material before it can reason well. git-branch splits a project's memory per branch, and per-session discards it on every restart.

Commands

Command Does
/honcho Status: peer, workspace, session, strategy, pending uploads, last sync, last fetch
/honcho config Resolved settings, the file they came from, and any ignored injection components
/honcho flush Sync now

Requirements

  • Node ^22.19.0 || >=24.0.0
  • A running dsh (developed and typechecked against 0.1.2-alpha.3)
  • A Honcho API key, or a self-hosted Honcho at baseUrl

Development

bun install
bun test
bun run typecheck
bun run build

See ARCHITECTURE.md for the design and the reasoning behind each extension point, and RUNBOOK.md for a throwaway-VM test pass.

Credit

dsh-honcho-sync by @nanpaidashi (MIT) inspired the initial design of this plugin

The ~/.honcho/config.json contract, the session-naming convention, and src/redact.ts come from the sibling Honcho integrations — claude-honcho, codex-honcho, and their relatives.

DeepSeek Harness is MIT-licensed, and its Cordis plugin model is what made a native integration worth writing instead of a hook bridge.

License

MIT

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