Agent-S vs LiveAgent
Agent-S is much bigger: 12.2k stars against 2.0k. Over the days we have tracked them Agent-S moved +3.9% and LiveAgent +12926.7%, so LiveAgent is growing faster right now.
They split the axes: Agent-S leads on noise control, LiveAgent on context depth and customization and setup ease.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
An open-source, research-backed GUI agent framework that combines grounding models and optional local code execution and achieves SOTA (surpassing human performance on OSWorld).
- Stars
- 12.2k
- Tracked growth
- +3.9%
- Maturity
- ●●●●●
- Last commit
- 35d ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Your API keys (provider-dependent)
A local‑first desktop AI agent that actually performs file-system operations, runs bash/managed processes, and extends via an MCP/Skills ecosystem with an optional remote Gateway.
- Stars
- 2.0k
- Tracked growth
- +12926.7%
- Maturity
- ●●●●●
- Last commit
- 3h ago
- Language
- TypeScript
- License
- MIT
- Cost to run
- Use your API key or third‑party relays for external models; desktop app is local-first
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | Agent-S | LiveAgent |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Single-screen context | ●●●●● Diff + related files |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Basic filters | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Configurable params | ●●●●● Extensible skills & prompts |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Cloud APIs (your key) | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own key | ●●●●● Bring-your-own-key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Config + API key | ●●●●● Desktop installers |
Which one to pick
Pick Agent-S if…
SOTA performance — pick Agent S when you need a research-grade, open-source GUI agent with grounding-model support and optional local code execution.
- Noise control: Basic filters (3/5 against 1/5)
Pick LiveAgent if…
Privacy-first — run a fully functional agent on your desktop with local key storage and extensible Skills while optionally routing models via your own endpoints.
- Context depth: Diff + related files (3/5 against 1/5)
- Customization: Extensible skills & prompts (5/5 against 3/5)
- Setup ease: Desktop installers (5/5 against 3/5)
What people want from each one
simular-ai/Agent-S
Hacker News: Show HN: Agent S: an open agentic framework that uses computers drew 2 points and 1 comments.
Stack-Cairn/LiveAgent
Questions people ask
Is Agent-S better than LiveAgent?
They split the axes: Agent-S leads on noise control, LiveAgent on context depth and customization and setup ease. Agent-S is worth picking when sOTA performance — pick Agent S when you need a research-grade, open-source GUI agent with grounding-model support and optional local code execution.
Which of Agent-S and LiveAgent keeps my code private?
Agent-S: Cloud APIs (your key) (3/5). LiveAgent: Self-hostable (4/5).
What does each one cost to run?
Agent-S: Your API keys (provider-dependent). LiveAgent: Use your API key or third‑party relays for external models; desktop app is local-first.
Full profiles: simular-ai/Agent-S and Stack-Cairn/LiveAgent. Everything else in Computer use.