lam-agent-vicinae/README.md

Lam Agent for Vicinae

Agentic AI chat inside the Vicinae launcher, powered by Ollama.

Hit a global shortcut, type a question, get a streamed answer — without leaving whatever you were doing.

Status: early. Chat, streaming, persistent sessions and the web tools work. Anything that acts on your machine (opening links, clipboard, launching apps) is deliberately not here yet — see Roadmap.

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What it does

• Global hotkey, instant input. Bind a shortcut to the chat command and the search bar is focused before you finish the keystroke.
• Streaming answers. Tokens render as they arrive, in a markdown side panel.
• Persistent conversations. Every chat is saved locally and can be reopened later.
• Tools. Lam decides when to call them — current time, location context, web search, and page fetching.
• Chat only. Lam answers questions. It does not touch your files or run commands.

Requirements

• Vicinae with the extension runtime enabled (Node.js 20+ on PATH)
• An Ollama account and API key — create one here

Ollama Cloud is the default. A local Ollama server works too: point Ollama Host at http://localhost:11434. Note that the web tools are a cloud feature and are not available from a local server.

Install

npm install
npm run dev      # build + hot reload into a running Vicinae

Or build once:

npm run build

Setup

Setup is two prompts on first launch, then one command you can revisit any time.

1. The API key. Vicinae prompts for required preferences before a command runs, so the very first launch asks for your Ollama API key.
2. The model. The next prompt asks which model to use — type it exactly, e.g. deepseek-v4.1-flash:cloud or gpt-oss:120b.
3. Set Up Lam Agent verifies the connection, lists every model your key can actually reach, and copies a model name to the clipboard so you can paste it into preferences.

To change the model later, either edit the Model preference directly, or run Set Up Lam Agent and copy the name of a model you would rather use.

An extension can read preferences but not write them, which is why setup hands you the exact name to paste rather than saving it for you. It also means the model list can never drift out of sync with your account.

Keyboard shortcuts

Keys	Action
↩	Send the message in the search bar
Tab	Jump to the conversation switcher in the search bar
⌘ N	New chat
⌘ ⇧ C	Copy the highlighted message
⌘ ⌫	Delete a conversation (in Chat Sessions)

Prompts are single line. An earlier ⌘ ↩ multi-line composer was removed — see Architecture for why a Form.TextArea cannot be laid out cleanly in a launcher.

Suggested global shortcuts

Assign these in Vicinae Settings → Extensions → Lam Agent, or bind them in your compositor/window manager with deeplinks:

vicinae 'vicinae://launch/lam-agent/chat?toggle=true'

# Hyprland
bind = $mainAlt, Space, exec, vicinae 'vicinae://launch/lam-agent/chat?toggle=true'

# niri
Mod+Shift+Space repeat=false { spawn "vicinae" "vicinae://launch/lam-agent/chat?toggle=true"; }

fallbackText pre-fills the prompt, which makes a handy "ask about this" command:

vicinae 'vicinae://launch/lam-agent/chat?fallbackText=summarise%20this'

Commands

Command	Purpose
Chat with Lam	The chat surface. Bind this to your global shortcut.
Chat Sessions	Browse, reopen, and delete past conversations.
Set Up Lam Agent	Verify the connection and list available models.

Configuration

Preference	Default	Notes
Ollama API Key	—	Required. Stored by Vicinae as a password preference.
Model	—	Required. Any model your key can reach.
Ollama Host	https://ollama.com	Set to http://localhost:11434 for a local server.
System Prompt	Lam's default	Replaces the built-in prompt entirely.
Web Tools	on	Enables web_search and web_fetch.
Reasoning Effort	Off	low/medium/high for models that support thinking.

Tools

Lam calls these on its own when they would improve an answer. All four are read-only.

Tool	What it does
get_datetime	Current local date, time, weekday, timezone, and UTC offset.
get_location	Timezone, UTC offset, locale, region, and city.
web_search	Searches the web; returns titles, URLs, and snippets.
web_fetch	Fetches one page and returns its content as markdown.

get_location is derived from your device timezone rather than GPS or an IP lookup, so no third-party geolocation service sees your address. Treat it as "which region am I in", not "where am I".

Web search results and fetched pages can be large. Lam truncates them before they reach the model, and gives up after 5 rounds of tool calls rather than looping.

Architecture

src/
  chat.tsx                    # "chat" command entrypoint — thin wrapper
  sessions.tsx                # browse, reopen, delete conversations
  setup.tsx                   # connection check + live model list
  lib/
    ollama.ts                 # the only file that talks HTTP
    agent.ts                  # the tool-calling loop
    tools.ts                  # tool schemas + dispatch
    sessions.ts               # LocalStorage persistence
    history.ts                # turns -> API messages
    location.ts               # time/place, derived locally
    thread.ts                 # turns -> flat message list
    markdown.ts               # messages -> detail-panel markdown
    preferences.ts            # preferences, normalised
    hooks/useChat.ts          # the chat state machine
    components/ChatView.tsx   # the chat surface

A few decisions worth knowing about before you change things:

The search bar is the composer. It is the only always-focused text input in a List, which is what makes "hotkey, then just type" work. It is single-line and there is no API to change that. A multi-line Form.TextArea composer was built and then removed: Vicinae always renders it inside FormField, which reserves two ninths of the width for a label gutter and two ninths as an empty right spacer, so it shows up as a small box floating in a large empty form. filtering is off, because this list is a transcript — the builtin fuzzy filter would hide messages as you type a question.

Every transcript row shares one primary action, so ↩ always sends whatever is in the search bar regardless of which row is selected. That is what makes the window feel like a single input box rather than a menu.

Rows are messages, not turns. Storage keeps a question and its answer together because that is what gets replayed to the model. thread.ts flattens that into one message per row so each side can carry its own icon and weight.

The user's line is dimmed by putting it in subtitle. List rows are a fixed single line, and the renderer draws title in the foreground colour and subtitle in a muted one. That is the only lever the extension API offers for varying text weight, so questions go in the subtitle and answers in the title.

Messages render oldest first, and the detail panel shows the whole thread. Vicinae resets list selection to the first row on every model change, and streaming changes the model on every flush, so the selected row cannot be relied on to stay put while an answer arrives. Showing the thread keeps the live answer on screen regardless.

Streamed deltas are buffered in refs and flushed to state on a timer (FLUSH_INTERVAL_MS). Re-rendering the transcript per token makes the launcher visibly janky.

The logic layer has no Vicinae imports. agent.ts, ollama.ts, tools.ts and friends are plain TypeScript, which is why they unit test without a runtime. A test enforces this.

Sessions are capped twice over — per turn and per session — because LocalStorage has no documented ceiling.

Development

npm run dev        # watch + reload
npm run typecheck
npm run lint:code
npm test

vicinae-env.d.ts is generated by the toolchain and gitignored; src/lib/preferences.ts declares the preference shape by hand so the logic layer needs no codegen step.

Roadmap

• Actions. Opening links, clipboard access, launching apps. These need an approval step first — an assistant that can silently act on your machine is a different risk profile from one that answers questions, and this release does not pretend otherwise.
• @ mentions for files and clipboard content.
• Per-conversation model overrides.
• Image input, which Ollama's chat API already supports.

License

MIT — see LICENSE.