head to head · open source
AnythingLLM vs pentestagent
AnythingLLM has 66,141 GitHub stars, 7,347 forks, 311 open issues and last shipped yesterday. pentestagent has 3,083 stars, 613 forks, 30 open issues and last shipped 11 days ago. AnythingLLM leads on adoption by 2,045% (66,141 vs 3,083 stars). AnythingLLM is written in JavaScript under MIT; pentestagent is written in Python under MIT. AnythingLLM has attracted 11% as many forks as stars, pentestagent 20%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, llm), 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
| AnythingLLM | pentestagent | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 3.1K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-09-17 | 2026-09-07 |
| Forks | ⑂ 7.3K | ⑂ 613 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 66K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- 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 AnythingLLM
AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.
read the full AnythingLLM 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 AnythingLLM or pentestagent more popular?
AnythingLLM has 66,141 GitHub stars and pentestagent has 3,083. AnythingLLM has the larger community by that measure.
Are AnythingLLM and pentestagent free?
Both are open source. AnythingLLM is licensed under MIT and pentestagent under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and pentestagent?
AnythingLLM is written in JavaScript 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, AnythingLLM or pentestagent?
Choose AnythingLLM if you want the larger community (66,141 stars) or its MIT licence terms. Choose pentestagent if its feature set, stack or MIT licence fits better. Both are self-hostable.