Comparison
browser-use vs agent-learning-kit
Verdict
Pick browser-use when license: browser-use is MIT, agent-learning-kit is Apache-2.0; pick agent-learning-kit when license: agent-learning-kit is Apache-2.0, browser-use is MIT.
Markdown twin · browser-use alternatives · agent-learning-kit alternatives
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Trust & integrity
| Signal | browser-use | agent-learning-kit |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- browser-use
- Make websites accessible for AI agents. Automate tasks online with ease.
- agent-learning-kit
- Evaluation Framework for all your AI related Workflows
Stars
- browser-use
- 104k
- agent-learning-kit
- 113
Forks
- browser-use
- 11k
- agent-learning-kit
- 42
Open issues
- browser-use
- 296
- agent-learning-kit
- 4
Language
- browser-use
- Python
- agent-learning-kit
- Python
Adopt for
- browser-use
- browser-use is a Python-based toolset that facilitates web task automation and enhances website interaction accessibility for AI agents using browser automation techniques.
- agent-learning-kit
- -
Persona
- browser-use
- -
- agent-learning-kit
- -
Runtime
- browser-use
- -
- agent-learning-kit
- -
License
- browser-use
- The MIT License provides great flexibility and permissiveness for both open-source and proprietary software projects.
- agent-learning-kit
- Apache-2.0
Last pushed
- browser-use
- Jul 11, 2026
- agent-learning-kit
- Jun 30, 2026
Categories
- browser-use
- AI Agents, Developer Tools
- agent-learning-kit
- AI Agents, Vector Databases, Model Training
Trust and health
Maintenance
- browser-use
- Very active (96%)
- agent-learning-kit
- Active (82%)
Days since push
- browser-use
- 0d
- agent-learning-kit
- 11d
Open issues (now)
- browser-use
- 296
- agent-learning-kit
- 4
Full report
- browser-use
- Trust report
- agent-learning-kit
- Trust report
Choose browser-use if…
- License: browser-use is MIT, agent-learning-kit is Apache-2.0.
- Pricing: This tool is provided under the MIT license which means you can use it freely but there are no guarantees or formal support unless included in separate agreements..
- Requirements: Min 2 GB RAM; Requires Docker; Playwright installation and configuration needed for full functionality..
- Tags unique to browser-use: llm, browser-automation, playwright, ai-tools.
- Also covers Developer Tools.
- When you need to automate interactions with websites in a straightforward manner, especially if your use case already leverages Playwright under the hood.
When NOT to use browser-use
- Avoid using browser-use if your automation workflow requires features that are exclusive to a different framework or library, such as specific functionalities only available in Selenium, as browseruse
Choose agent-learning-kit if…
- License: agent-learning-kit is Apache-2.0, browser-use is MIT.
- Tags unique to agent-learning-kit: ml, evaluation, ai, agentic-ai.
- Also covers Vector Databases, Model Training.
When NOT to use agent-learning-kit
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (browser-use/browser-use) · observed Jul 11, 2026
- GitHub forks (browser-use/browser-use) · observed Jul 11, 2026
- Last push (browser-use/browser-use) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/agent-learning-kit) · observed Jul 11, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Jul 11, 2026
- Last push (future-agi/agent-learning-kit) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: browser-use 104k · agent-learning-kit 113 (synced Jul 11, 2026).
Common questions
- What is the difference between browser-use and agent-learning-kit?
- browser-use: Make websites accessible for AI agents. Automate tasks online with ease.. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose browser-use over agent-learning-kit?
- Choose browser-use over agent-learning-kit when License: browser-use is MIT, agent-learning-kit is Apache-2.0; Pricing: This tool is provided under the MIT license which means you can use it freely but there are no guarantees or formal support unless included in separate agreements.; Requirements: Min 2 GB RAM; Requires Docker; Playwright installation and configuration needed for full functionality.; Tags unique to browser-use: llm, browser-automation, playwright, ai-tools; Also covers Developer Tools; When you need to automate interactions with websites in a straightforward manner, especially if your use case already leverages Playwright under the hood.
- When should I choose agent-learning-kit over browser-use?
- Choose agent-learning-kit over browser-use when License: agent-learning-kit is Apache-2.0, browser-use is MIT; Tags unique to agent-learning-kit: ml, evaluation, ai, agentic-ai; Also covers Vector Databases, Model Training.
- When should I avoid browser-use?
- Avoid using browser-use if your automation workflow requires features that are exclusive to a different framework or library, such as specific functionalities only available in Selenium, as browseruse
- When should I avoid agent-learning-kit?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is browser-use or agent-learning-kit more popular on GitHub?
- browser-use has more GitHub stars (104,191 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are browser-use and agent-learning-kit open source?
- Yes - both are open-source projects on GitHub (browser-use: MIT, agent-learning-kit: Apache-2.0).
- Where can I find alternatives to browser-use or agent-learning-kit?
- GraphCanon lists graph-backed alternatives at browser-use alternatives and agent-learning-kit alternatives (browser-use markdown twin, agent-learning-kit markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, browser-use or agent-learning-kit?
- browser-use: Very active. agent-learning-kit: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for browser-use and agent-learning-kit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: browser-use trust report; agent-learning-kit trust report.