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PenguinHarness 0.1.1

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@github-actions github-actions released this 22 Jul 22:18
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v0.1.1
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Learn about vigilant mode.

PenguinHarness 0.1.1 — Gemini 3.6 support, a self-upgrading CLI, and the skills that let an agent serve and fine-tune its own models.

Install

curl -fsSL https://penguin.ooo/install.sh | sh
penguin web

Linux and macOS, x64 and arm64, with a bundled Node runtime. Or via npm (needs Node >= 24):

npm install -g @prismshadow/penguin-cli

Highlights

Gemini 3.6. gemini-3.6-flash and gemini-3.5-flash-lite are in the model catalog, on both the Google endpoint and OpenRouter, with the full 1,048,576-token context and vision. The rest of the catalog was rebuilt against AgentHub 0.4.1's supported-model registry and grew from 59 to 70 entries — Claude 5 on Anthropic, Kimi K3 on Moonshot, and more on OpenRouter and SiliconFlow.

Serve and tune your own models, by asking. Three new skills — vLLM, Ollama and LlamaFactory — teach an agent to stand up and fine-tune the models it runs on: describe what you want in plain language and it serves the model, scores itself, trains on what it got wrong, redeploys and measures again. With a local engine the data never leaves the machine.

penguin update. Upgrades an existing install through the mechanism it was installed with — the tarball installer or a global npm/pnpm/yarn/bun package — after showing exactly what it will do. --check reports without changing anything, and your data root is never touched.

A sidebar that scales. Conversations group by Workspace (or by Agent), groups can be pinned, sessions created by subagents and scheduled tasks file into their own folders, and long lists load a page at a time. Collapsed, the sidebar is now an eight-entry navigation rail with bilingual tooltips.

Notable in this release

  • Subagents follow the parent session. A spawned subagent inherits the parent's model and thinking level instead of falling back to the Project default, and a resumed session restores the level its Trace recorded.
  • Empty tool lists stay off the wire. Strict OpenAI-compatible servers such as vLLM reject tools: []; tool-less requests (the connectivity probe, title generation, the vision describer) now omit the field entirely.
  • Two new prompt guardrails. The agent no longer kills processes on the harness's own service ports — it picks a free port instead — and on an API key error it retries once, then stops and asks you to update the key outside the chat.
  • Per-model max output tokens. A 32k-context model no longer 400s because the agent-level output cap does not fit its window.
  • Thinking level moved into the conversation, next to the model picker, and writes through to the Agent's settings.

Requirements

Linux or macOS (x64 / arm64). The installer bundles its own Node runtime; installing from npm needs Node >= 24. All data stays under ~/.penguin/data.

Full detail: changelog/0.1.1/

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