--- title: "pentest-ai vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xsteph-pentest-ai-vs-mintplex-labs-anything-llm" tools: ["0xsteph-pentest-ai", "mintplex-labs-anything-llm"] --- # pentest-ai vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick pentest-ai when pentest-ai is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; pentest-ai is Python. [pentest-ai](https://pentestai.xyz) reports 1.3k GitHub stars, 249 forks, and 2 open issues, last pushed Jul 5, 2026. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [pentest-ai's repository](https://github.com/0xSteph/pentest-ai) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Offensive-security MCP server with 205 wrapped tools, 17 specialist agents, and 60 SPA-aware probes for OWASP Top 10. CLI + MCP, BYO LLM. No API key needed on MCP path. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 1,269 | 63,100 | | Forks | 249 | 6,907 | | Open issues | 2 | 320 | | Language | Python | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Vector Databases, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 2 | 320 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/0xsteph-pentest-ai/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose pentest-ai if… - pentest-ai is primarily Python; anything-llm is JavaScript. - Tags unique to pentest-ai: cybersecurity, exploit-chaining, ctf, hacking-tools. - Also covers Vector Databases, LLM Frameworks. ### Choose anything-llm if… - anything-llm is primarily JavaScript; pentest-ai is Python. - Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use pentest-ai - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## Common questions ### What is the difference between pentest-ai and anything-llm? pentest-ai: Offensive-security MCP server with 205 wrapped tools, 17 specialist agents, and 60 SPA-aware probes for OWASP Top 10. CLI + MCP, BYO LLM. No API key needed on MCP path.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose pentest-ai over anything-llm? Choose pentest-ai over anything-llm when pentest-ai is primarily Python; anything-llm is JavaScript; Tags unique to pentest-ai: cybersecurity, exploit-chaining, ctf, hacking-tools; Also covers Vector Databases, LLM Frameworks. ### When should I choose anything-llm over pentest-ai? Choose anything-llm over pentest-ai when anything-llm is primarily JavaScript; pentest-ai is Python; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid pentest-ai? 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### Is pentest-ai or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 1,269). Stars measure visibility, not whether either tool fits your constraints. ### Are pentest-ai and anything-llm open source? Yes - both are open-source projects on GitHub (pentest-ai: MIT, anything-llm: MIT). ### Where can I find alternatives to pentest-ai or anything-llm? GraphCanon lists graph-backed alternatives at [pentest-ai alternatives](/tools/0xsteph-pentest-ai/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([pentest-ai markdown twin](/tools/0xsteph-pentest-ai/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md)), 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](/compare/0xsteph-pentest-ai-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pentest-ai or anything-llm? pentest-ai: Very active. anything-llm: Very 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 pentest-ai and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pentest-ai trust report](/tools/0xsteph-pentest-ai/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xsteph-pentest-ai`](/api/graphcanon/graph?tool=0xsteph-pentest-ai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_