Changelog

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New features

• Orchestrator mode. The one agent you talk to can now become an orchestrator that spins up live parallel worker sessions on a second model, briefs and drives them, reviews their output against the goal, and folds everything into a single reply. It’s opt-in and decides per turn whether to delegate — reaching for workers only when a task genuinely splits into independent parts. Single mode stays the default for quick, sequential work.
• A “Modes” settings page. Model setup moved to its own Modes page — the first thing you land on in Settings. Pick one model (your Brain) by drag-and-drop or a click; switch on orchestrator mode to add a second Worker model in a slot beside it.
• Subagent transparency. With Verbose task results on, each worker’s text and tool calls render inline in the chat, tagged with the worker’s label, so you can see exactly how the orchestrator split the work. Off — the default — shows only the final synthesized reply.
• Greedy & Autonomy toggles. Two behavior switches on the Modes page tune how hard the agent works on every turn, regardless of mode — Greedy effort (persist harder: more retries, several approaches, keep going until the job is truly done) and Autonomy (act with high agency, ask you as little as possible). Both off by default.
• Run an automation now. A Run now button on the Heartbeat page fires any active scheduled job immediately, with a live overlay tracking its tool calls, results, and finish.
• Save a file to your computer. Save a copy of any file Wolffish has read or written — wherever it lives on your machine — to a location you choose through a normal save dialog.

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Updates

• One Brain, no provider cascade. The old fallback-order / priority cascade is gone. You now select one Brain model explicitly — the one you choose is the one that runs, and you always know which. Existing setups migrate automatically: your top provider becomes the Brain and the dead settings are cleaned out. On a transient error the same model retries on a backoff; there’s no silent switch to another provider. See config.json for the updated llm shape.
• A default model on connect. Connecting a provider for the first time auto-selects a sensible default model, so you’re ready to go immediately — it never overrides a model you’ve already chosen.
• Crash-safe writes. Config, conversations, and channel state now write through one ordered, atomic path — temporary file, flushed to disk, then swapped into place — so a crash or hard quit can never leave a half-written, corrupted file. You always get the complete old version or the complete new one.

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New features

• Automations. Wolffish now manages its own scheduled jobs — its heartbeat — entirely through conversation. Say “every morning brief me on my calendar,” “in 2 days remind me to renew the lease,” or “check the build every hour,” and it creates the automation; ask it to list, change, delete, or test one and it does. One-time jobs fire once and remove themselves, recurring ones keep going, and jobs never overlap — one that comes due mid-run waits its turn instead of being dropped. Anything missed while the app was closed runs once, collapsed, on the next launch.
• Read a WhatsApp chat. A new whatsapp_read tool catches Wolffish up on the latest messages in any WhatsApp contact or group, returned oldest-first. It covers traffic seen while Wolffish is connected — not older history from before it started — and that buffer now survives restarts instead of resetting every launch.

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New features

• Ask cards. When a decision is genuinely yours to make, Wolffish poses it as an interactive multiple-choice card — a question, 2–5 options, and a free-text “something else” box — and waits for your pick instead of guessing. On Telegram and WhatsApp you reply with the option number.
• Self-managed skills. A new skills capability lets Wolffish list, search, enable, disable, delete, and even author its own capabilities at runtime — turning “do this every time” into a reusable skill, or “turn off the browser” into a disabled one.
• Channel status. A new channel_status tool reports which messaging channels are connected and how to reconnect any that aren’t.

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Updates

• Channels aren’t apps. Asked to message you on Telegram or WhatsApp, Wolffish no longer tries to launch a phantom desktop app that doesn’t exist — it reaches channels only through their own send tools and fails gracefully with reconnect steps when one is down.
• Openable path cards. File and folder paths Wolffish mentions in a reply now render as a card with a one-click “open in file manager” button — shown only for paths that actually exist on disk.

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Bug fixes

• grep -c zero counts. A grep -c that finds no matches exits with code 1 and prints “0” — that’s now read as the valid zero-count it is, not a failed command, so it no longer triggers needless retries.

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New features

• Fully local voice. Text-to-speech now runs on Kokoro and speech-to-text on faster-whisper — both entirely on-device, with no cloud, no API keys, and no Microsoft servers. Voice memos work fully offline after a one-time setup. The default voice is af_bella (English, US); voices are English-only (American af_/am_, British bf_/bm_).
• Install voice engines on demand. Settings → Text-to-Speech and Speech-to-Text now offer an Install button with a live progress bar. The voice and model pickers stay disabled until the engine is ready, and the Preview button plays the actual selected Kokoro voice — not a browser stand-in.
• Managed Python runtime. The voice engines provision into an isolated, app-managed Python runtime automatically — no system Python or developer tools required on the machine.
• Z.ai (GLM) provider support. You can now run Wolffish on Z.ai — Zhipu’s GLM models with toggleable thinking and a 1M-token context flagship (GLM-5.2). OpenAI-compatible streaming and tool-calling at budget-tier pricing; bring your own API key.
• Verbose task results toggle. Each channel now has a Verbose task results switch — off by default — that controls how much of the agent’s step-by-step work you see. Off keeps a clean feed (replies, files, and errors only); on surfaces every tool call, result, and activity card as the turn runs.

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Updates

• Install progress survives navigation. Starting an install — or a Google Workspace setup/update — then switching tabs or reloading the window no longer resets the progress; it resumes exactly where the real work is.
• One voice memo per reply. Sending a voice note now returns exactly one voice memo across Desktop, Telegram, and WhatsApp — no duplicate memos and no echo of your own recording. Multi-step requests run normally first, then close with a single spoken reply.
• Verbose changes display only. Flipping the verbose toggle re-renders the feed without changing what the agent does — every tool call and result is still saved to history and memory in full, so nothing is lost when it’s off.

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New features

• Context compaction redesign. The compaction system has been rebuilt to use instant proportional truncation plus a single LLM summary call, replacing the previous per-message approach that required N separate API calls. Compaction that took 6 minutes now completes in under 30 seconds, and a structured continuation nudge ensures the model finishes multi-step tasks after compaction instead of treating shorter context as “done.”
• Planning skill. A built-in skill that injects planning discipline into every turn — the agent must state its understanding, lay out phases with verification criteria, and confirm each definition of done after execution.
• Conversation timeline. Conversations now track a timeline of key events (tool calls, results, compaction, model switches) that persists across sessions.
• Multi-turn tool history. Channel conversations (Telegram, WhatsApp) now reconstruct full tool-call history from stored segments, so the model can see its prior tool interactions across turns.

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Updates

• Batch completion enforcement. New runtime instruction ensures the agent completes every item in batch operations (e.g. reading all emails, not just a subset).
• Structured provider error cards. Error details now always show provider name, HTTP status, error reason, retry count, and duration — even when the API returns no error body.
• Provider failure tracking. Per-provider failure details are now surfaced when a stream errors mid-response, not just when all providers are exhausted.
• Tool transcript detail logs. A separate detail log captures full raw tool output alongside the truncated transcript preview.

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New features

• DeepSeek provider support. You can now run Wolffish on DeepSeek, the recommended default for agentic workloads. Bring your own API key and start chatting in seconds.
• Ollama is now optional. You no longer need a local Ollama install to use Wolffish — pick any combination of cloud providers or local models that fits your setup.
• Microphone and audio permissions. Wolffish now requests mic and audio access on first launch, paving the way for voice-driven workflows.
• Instant conversation titles. New chats get a title the moment you send your first message, so your sidebar stays organized without waiting on the model.

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Updates

• Smarter chat rendering. Cards, code blocks, and tool outputs now render more reliably in long conversations.
• Refined sidebar and chat navigation. Cleaner layout, better keyboard navigation, and quicker access to past conversations.
• Tray menu improvements. The system tray menu is more responsive and reflects the current app state correctly.
• Better token display. Token usage indicators are now accurate and easier to read at a glance.
• Windows performance. Shell execution and app startup have been optimized for Windows users, including a cleaner installer name.

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Bug fixes

• Fixed web fetch failing on certain URLs.
• Fixed channel connection errors and intermittent API failures.
• Fixed a JSON parsing crash that could interrupt long agent runs.
• Fixed microphone access on macOS.
• Fixed DeepSeek streaming and tool-call edge cases.
• Fixed docs handling so attached files render correctly in chat.
• Fixed bypass mode not engaging in some sessions.
• Fixed blank request timeouts that could stall the agent.