Turn any text field into a two-way LLM channel. It reads what you write and fills what you ask: catching a slip as you type, or answering the moment you end a line with _. A drop-in for Claude Code, OpenCode, Gemini CLI, your shell, and Chrome. Model-agnostic, output you review before it sends, an open standard with no chat window.
The model comes to your cursor, both ways. Cues react to what you've already written and surface a fix or a sharper line inline, unprompted. Blanks act on demand: end a line with _ and the model fills in the rest. No chat window, no copy-paste, no context switch.
OpenCues is platform, model, and provider agnostic, engineered from the ground up to enable native inline AI.
You type
You get
i keep having to approve every single git command
↳ 💡 Tired of approving? /permissions allow rules like Bash(git *), or Shift+Tab to auto mode
ok this is a mess, let's start over on the auth stuff
↳ 💡 Starting over? /clear wipes the conversation, CLAUDE.md stays
let's ship it Thursday the 19th
↳ ⚠ the 19th is a Friday
we should probably go ahead and refactor this
↳ we should refactor this
hey can u send me that report when u get a sec make this formal _
Could you please send me that report at your earliest convenience?
hello world translate to japanese _
こんにちは世界
draft an email to my landlord asking for a rent reduction _
(the email, written)
ffmpeg command to convert a video to web-ready mp4 _
Rows with _ are blanks: you ask, the model fills in. Rows without are cues: the model speaks up on what you wrote, no prompt. A 💡 cue knows the situation you are in and _ makes the draft the command.
Full walkthrough, prerequisites, and per-host detail: docs/install.md. opencues doctor diagnoses anything that looks wrong.
Integrations
Host
Status
Install
Claude Code
Available
opencues install claude-code
OpenCode
Available
opencues install opencode
Gemini CLI
Beta
opencues install gemini-cli
Chrome
Beta
opencues install chrome
Shell
Beta
opencues install shell
DeepSeek Harness
Beta
dsh plugin --profile web add @opencues/dsh
Each pins its own upstream fork and never touches your native host install.
DeepSeek Harness is the exception: it has a real plugin system, so there is no
fork to pin and no OpenCues CLI step — see
integrations/dsh/README.md.
⚠️ Windows: not supported natively, run inside WSL2 (see docs/install.md).
What you get
Feature
What it does
Blanks
Type _ for free-form generation, translation, formatting, full rewrites, or keyword-bound system actions (volume _, weather _).
Sentence rewrites
Cycle a whole sentence to a different register (formal, concise, ...) seamlessly, no _ needed.
Word cues
Navigate to a single word and cycle a smaller LLM-suggested alternative.
Live actuators
volume _ reads the real level and leaves a knob you can turn: Ctrl+Alt+↑/↓ or a bare _ moves it, and the device follows.
Dismissing a cue
A cue that only tells you something can be silenced from its own note: _ once quiets it for a while, _ again forgets it for good. opencues dismissals lists what you forgot and turns any of it back on.
Session-contradiction cues (opt-in)
Flags a draft that goes against a decision made earlier in the same coding session, on any host with a transcript.
Ask-cues (opt-in)
Turns a vague sentence into an inline question with cyclable answers, using the assistant's own clarifying prompt.
Personal + ambient context (opt-in)
my email _ substitutes your real address; fluid lookups can read the page you're on.
Hot-reload
Every .md config picks up edits in ~2s, no restart.
Full feature catalogue (44 concepts): docs/features/README.md.
Running a lot of these at once? opencues usage prices every LLM call your
hosts have made, across features, so the total isn't a guess.
Configuration & LLM providers
Config lives at ~/.cues/ — one OPENCUES.md for runtime settings, plus per-surface source folders. Seven providers supported; set an env key or opencues set-key and you're done.
OpenCues has no tool handlers or exec layer for LLM output — no MCP-tool execution, no agentic actions, no side-effect channel. Worst-case, an LLM response lands as user-visible text in the buffer you review before submitting. That single invariant is what keeps prompt injection a UX failure instead of a data-exfiltration channel, across every surface below.
23 of 27 tracked attack classes closed, 3 closed-with-caveat, 1 tracked for the future pack registry (full audit table).
Defense
What it covers
Sandbox isolation
Third-party blank JS runs in a real V8 isolate (isolated-vm) — its own realm, own intrinsics, no sandbox-escape via constructor-chain pivots
Capability gates
A blank only gets network/llm/storage/secrets access if declared; secrets without a matching host binding are refused at load time
Resource quotas
Sliding-window caps on fetches, LLM calls, and storage writes — no polling hammer, no runaway LLM burn
Output sanitization
Blank output is stripped of HTML/script tags, zero-width chars, and bidi overrides before it reaches the buffer
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