Highlight AI
Always-on desktop AI assistant that watches the user's screen (across all apps) and answers questions / takes actions based on what's currently visible. Mac + Windows. Founded by Mac Bishop (ex-Mixpanel); raised $13M Series A from Aspect / Lightspeed (Oct 2024). Distinguishes itself from Rewind by being action-oriented (not just recall).
At a glance
- Type
- Desktop AI co-pilot (always-on context capture across apps)
- Tier
- T2
- Section
- Computer-use & desktop agents
- Created
- 2024 (launched publicly)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Free tier + Pro ($20/mo)
- Funding
- $13M Series A Oct-2024 (Aspect Ventures / Lightspeed)
Taxonomy
- storage
- kv
- retrieval
- injection
- persistence
- cross-session
- update
- agent-controlled
- unit
- turn
- governance
- opaque
- conflict
- stateless
When to use
Optimised for: Desktop co-pilot that sees screen + acts on it
Anti-fit: Adjacent to Rewind / Limitless; privacy-sensitive for shared screens; not a developer API
Pros & cons
Pros
$13M Series A; cross-app screen-capture context; local-first option.
Cons
Closed-source; privacy posture sensitive; no developer API at launch tier.
Claims & capabilities
$13M Series A Oct-2024 (Aspect / Lightspeed); cross-app context capture; local model option (Llama)
Technical surface
- API surface
- Desktop app; HTTP API on roadmap
- Backend storage
- Local SQLite + optional cloud sync
- Deployment
- Desktop app (Mac + Windows); local + cloud hybrid
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- Per-device single-tenant
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other computer-use & desktop agents in the catalog, ranked by inbound references.
- UI-TARS T2
ByteDance Seed's open-source GUI-agent foundation model — released Jan 2025; trained end-to-end on screenshot → action pairs. Comes with UI-TARS-Desktop (Electron app) that runs the model against the user's screen. SOTA on OSWorld at release; weights on HuggingFace.
- Browser Use T1
Python library that turns any LLM into a browser agent — extracts DOM into a structured representation the LLM can act on (rather than pure screenshot). Browser Use Inc. raised $17M seed Q1 2025 (Felicis); cloud product at cloud.browser-use.com. Project is one of the most-starred browser-agent OSS repos (~60k stars).
- Bytebot T3
Open-source desktop-agent runtime that runs an LLM-controlled Linux desktop inside Docker — uses xdotool / X11 capture for control. Pitched as the 'self-hosted Operator' alternative; agent sees a real desktop screen, not just a browser.
- Claude for Chrome T1
Anthropic's Chrome extension that lets Claude act inside the user's existing browser (rather than a sandboxed one). Research preview launched August 2025 — limited to Claude Max tier. Distinct from Anthropic Computer Use (which is the API substrate); this is the consumer surface that uses it inside Chrome.
- Hyperbrowser T2
Cloud-hosted headless browser API tuned for AI agents — captcha solving, stealth mode, session recordings. Y Combinator S24; pitched as a faster / cheaper Browserbase alternative. Used as substrate by agents that need browser execution but don't want to run their own Chromium fleet.
- Lutra AI T2
AI agent platform that automates SaaS workflows across Gmail, Slack, Sheets, etc. — uses natural-language instructions that compile to durable 'playbooks.' Founded by ex-Google/Facebook engineers; raised seed funding 2024. Positions itself as Zapier-meets-Claude for knowledge workers.
Related systems
References (3)
- Anthropic Claude (foundation models) depends on at runtime — adjacent-infrastructure cell: Anthropic / OpenAI APIs; local Llama option
- Meta Llama 4 family depends on at runtime — adjacent-infrastructure cell: Anthropic / OpenAI APIs; local Llama option
- OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) depends on at runtime — adjacent-infrastructure cell: Anthropic / OpenAI APIs; local Llama option