browser-use vs agno
Two of the top projects in Agent frameworks and SDKs, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
browser-use
Python library that lets an LLM agent control a web browser
agno
Python SDK and runtime for building and serving agents behind a REST API
Verdict
browser-use ranks higher, 87 to 69. Of the 4 score parts we measure for both, browser-use leads on 1, agno on 1 and 2 are even.
- Adoptionbrowser-use leads by 59 points, 90 to 31: a wide gap.
- FreshnessEven at 100.
- Maintenanceagno leads by 1 point, 77 to 76: close to even.
- Agent-readyEven at 70.
Pick browser-use if you are
Developers building browser-automating agents in Python
- Works with a local Chrome profile, a cloud browser, or a remote browser over CDP
- Custom tools register with a decorator; system prompt can be extended or overridden
Pick agno if you are
Python developers building self-hosted multi-user agent services
- Runtime ships a REST API with 50+ endpoints, SSE and websockets
- JWT-based RBAC and multi-tenant isolation included
| What we compare | browser-use | agno |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 90, widely used | 31, known |
| Freshness | 100, active | 100, active |
| Maintenance | 76, fair | 77, fair |
| Easy to run | Not scored for this kind | Not scored for this kind |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 117.9k | 42.7k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Python | Python |
| Docker | Yes | No |
| GPU | Optional | Not stated |
| arm64 or Apple Silicon | Not stated | Not stated |
browser-use
Browser Use runs an LLM-driven agent that opens a browser, reads pages and completes tasks such as searching, filling forms and booking slots. It is used as a Python library (3.11+), as a CLI skill for agents like Claude Code, or through a hosted cloud API. It works with OpenAI, Anthropic, Google, Ollama and its own BU2 model, on local or cloud browsers.
Who it is for: Developers building browser-automating agents in Python
Strengths
- Works with a local Chrome profile, a cloud browser, or a remote browser over CDP
- Custom tools register with a decorator; system prompt can be extended or overridden
- Supports OpenAI, Anthropic and Google wrappers, plus local models via Ollama
- Ships a CLI skill so existing coding agents can drive a browser
Weaknesses
- README recommends BU2, which needs a paid Browser Use API key
- CAPTCHA and stealth handling rely on the paid cloud browser, with no guarantee
- Profile sync copies cookies only, not local storage, IndexedDB or extensions
- Hardware needs for local models are not stated in the README
- GPU optional
- Docker
- Needs Python >= 3.11, Chromium-based browser, LLM provider API key or Ollama, Browser Use API key (optional)
- Models: OpenAI, Anthropic, Google, Ollama, BU2 (ChatBrowserUse)
agno
Agno is a Python framework for defining agents, plus the AgentOS runtime that serves them through a REST API with 50+ endpoints, SSE and websockets. Sessions, memory, knowledge and traces are stored in your own database, and a web UI manages the running platform. It includes JWT-based RBAC, human approval steps, cron scheduling, and interfaces for Slack, Telegram, WhatsApp, Discord, AG-UI and A2A.
Who it is for: Python developers building self-hosted multi-user agent services
Strengths
- Runtime ships a REST API with 50+ endpoints, SSE and websockets
- JWT-based RBAC and multi-tenant isolation included
- 100+ prebuilt toolkits plus OpenTelemetry tracing and audit logs
- Starter templates for Docker, AWS, GCP, Azure, Fly, Render, Modal and Helm
Weaknesses
- Sends a telemetry event per agent run unless AGNO_TELEMETRY=false is set
- README gives no RAM, GPU or port requirements
- Starter templates live in separate repos, not in this one
- Management UI hosting and licensing terms are not described in the README
- Needs Postgres, Docker
- Models: unknown
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