head to head · open source
LobeChat vs pentestagent
LobeChat has 82,547 GitHub stars, 15,891 forks, 922 open issues and last shipped yesterday. pentestagent has 3,083 stars, 613 forks, 30 open issues and last shipped 11 days ago. LobeChat leads on adoption by 2,577% (82,547 vs 3,083 stars). LobeChat is written in TypeScript under a custom or non-standard licence; pentestagent is written in Python under MIT. LobeChat has attracted 19% as many forks as stars, pentestagent 20%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 8884 open source comparisons
Side by side
| LobeChat | pentestagent | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 3.1K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-07 |
| Forks | ⑂ 16K | ⑂ 613 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 83K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick pentestagent if
- You want the pentestagent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and pentestagent fits your workflow better
About LobeChat
LobeHub is an open source platform for managing, building, and operating AI agent teams. It functions as a Chief Agent Operator (CAO), enabling users to organize, schedule, and monitor autonomous AI agents around the clock. The project lives in the AI interaction and interfaces ecosystem, integrating with major LLM providers like OpenAI, Anthropic, DeepSeek, and Alibaba’s GLM series.
read the full LobeChat overview →
About pentestagent
PentestAgent is Python based AI agent framework for black box security testing. Project lives in AI & Machine Learning / AI Interaction & Interfaces ecosystem. It supports bug bounty, red team, and penetration testing workflows. It provides terminal user interface, Docker tool execution, multi agent orchestration, and model access through OpenAI, Anthropic, or other LiteLLM supported providers.
read the full pentestagent overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is LobeChat or pentestagent more popular?
LobeChat has 82,547 GitHub stars and pentestagent has 3,083. LobeChat has the larger community by that measure.
Are LobeChat and pentestagent free?
Both are open source. LobeChat has no licence declared in this registry, and pentestagent is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and pentestagent?
LobeChat is written in TypeScript and pentestagent in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LobeChat or pentestagent?
Choose LobeChat if you want the larger community (82,547 stars) or its Custom / other licence terms. Choose pentestagent if its feature set, stack or MIT licence fits better. Both are self-hostable.