Models & Inference
- dsh-vision — Vision bridge: view_image tool over any OpenAI-compatible VLM (Zhipu free tier by default).
- dsh-advisor — Second model passively reviews each turn and injects notes.
- dsh-llm-fallbacks — Role-based LLM retry/fallback strategy.
- dsh-pi-adapter — ExtensionAPI bridge for pi.
- dsh-a2a — Agent2Agent mesh.
- dsh-acp — Client-neutral ACP adapter.
- deepseek-harness-acp — ACP profile plugin and standalone server that exposes the full DSH agent to Zed and other ACP clients while reusing DSH credentials, sessions, and MCP configuration.
- dsh-mnemon — Mnemonic layer.
- dsh-slice-agent-loop — Drop-in agent loop with bounded-slice context engine (cordis).
- savemoneybenchmark — Cost-reduction benchmark (examples + skills).
- dsh-harness-mcp-server — MCP server exposing Harness agent: any MCP client (e.g. Hermes) drives Harness as its 'arms'.
- dsh-subagent-tools — Per-call model / provider / persona / toolFilter overrides for subagent delegation, @preset: references, provider/model composite ids (bundle, no patched files).
- dsh-subagent-cwd — dsh-subagent-tools plus a per-call cwd for subagents, with the two in-process provider patches it requires.
See also#
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