dsh-sisyphus

dsh-sisyphus

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Sisyphus orchestration agent preset for DeepSeek Harness (dsh).

An agent running this preset orchestrates instead of editing directly: it classifies every request first (intent gate), decomposes work into atomic units, delegates each unit to a specialist subagent, runs independent delegations in parallel, and verifies results before calling them done.

Inspiration

The Sisyphus working style — intent-gated routing, decompose-and-delegate to specialists, parallel execution, and the evidence loop — comes from OhMyOpenCode's (ohmy openagent) Sisyphus agent as used on top of opencode. This preset migrates that orchestration style to DeepSeek Harness, reusing dsh's own subagent capability seam instead of changing its main loop.

What it gives you

All specialists run in continuable background mode: the model starts independent delegations together and keeps working while they run; each returns a durable child id the model can continue via send_message, with list_agents for status. The leaf specialists accept exactly one call each and cannot delegate further.

The persona also encodes the Sisyphus working discipline: intent gate, decompose-and-delegate, parallel execution, session continuity, an evidence loop ("no evidence = not done"), and a six-part delegation prompt (TASK / EXPECTED OUTCOME / REQUIRED TOOLS / MUST DO / MUST NOT DO / CONTEXT).

Install

This repo is the preset itself. Installing copies the preset directory into the dsh agent-presets root.

One command

git clone https://github.com/wyhgoodjob/dsh-sisyphus.git
cd dsh-sisyphus
./install.sh

git clone https://github.com/wyhgoodjob/dsh-sisyphus.git
cd dsh-sisyphus
.\install.ps1

Manual

$DSH_HOME defaults to ~/.dsh (Windows: $env:USERPROFILE\.dsh). Copy the preset directory itself, flat — dsh scans only one level, so the target must be .agent-presets/sisyphus, never .agent-presets/presets/sisyphus:

cp -r presets/sisyphus "$DSH_HOME/.agent-presets/sisyphus"

Then restart dsh. A new session can pick Sisyphus in the UI, or set it as the default in the user settings document:

agent-presets:
  default: sisyphus

From a git dependency (alternative)

dsh plugin --profile web add github:wyhgoodjob/dsh-sisyphus

and point the roster at the installed package:

- name: '@deepseek-ai/dsh-agent-presets'
  config:
    default: sisyphus
    roots:
      - path: <profile-node_modules>/dsh-sisyphus/presets
        trust: user

Requirements

• A DeepSeek Harness whose persona row uses the prefix field (@deepseek-ai/dsh-persona ≥ 0.1.3-alpha.2; the current 0.1.5-rc/0.1.6-alpha lines). On older harnesses that still take text, the preset fails to mount with $.prefix missing required value.
• DeepSeek Harness with the spawn and fork subagent backends in its host composition (both ship with the standard app).
• The subagent providers must advertise depthLimit, persona, toolFilter, and prepareContinuable capability — the in-process spawn/fork backends do.

Model experience

The preset adds no schema of its own; token and KV-cache effects come from the plugins it composes. Every continuable specialist instance adds one tool:<toolName> prompt section (parallel-delegation guidance) and one schema, paid per parent request. The persona text replaces the deployment persona.

Known limitations and deferred work

• Specialists are soft-constrained by persona, not hard tool filters. The leaf specialists (explore, librarian, oracle, plan_reviewer) are instructed not to edit, but they still carry the shell and filesystem tools; a toolFilter allow-list per specialist is planned and omitted only to avoid failing preset load on a host whose tool names differ.
• Continuable fork invalidates some inherited KV-cache reuse (upstream dsh issue #2124); the subagent_fork instance accepts that cost.
• Model selection is not enabled on the subagent/implementer instances (modelSelectionSettings: false), so children inherit the parent route.

License

MIT