Comparison
pentest-ai vs anything-llm
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.
Markdown twin · pentest-ai alternatives · anything-llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | pentest-ai | anything-llm |
|---|---|---|
| Maintenance | Very active (6d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- 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
Stars
- pentest-ai
- 1.3k
- anything-llm
- 63k
Forks
- pentest-ai
- 249
- anything-llm
- 6.9k
Open issues
- pentest-ai
- 2
- anything-llm
- 320
Language
- pentest-ai
- Python
- anything-llm
- JavaScript
Adopt for
- pentest-ai
- -
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- pentest-ai
- -
- anything-llm
- -
Runtime
- pentest-ai
- -
- anything-llm
- -
License
- pentest-ai
- MIT
- anything-llm
- MIT
Last pushed
- pentest-ai
- Jul 5, 2026
- anything-llm
- Jul 11, 2026
Categories
- pentest-ai
- Vector Databases, LLM Frameworks, AI Agents
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Days since push
- pentest-ai
- 6d
- anything-llm
- 0d
Open issues (now)
- pentest-ai
- 2
- anything-llm
- 320
Owner type
- pentest-ai
- User
- anything-llm
- Organization
Security scan
- pentest-ai
- No MCP manifest
- anything-llm
- No lockfile
Full report
- pentest-ai
- Trust report
- anything-llm
- Trust report
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.
When NOT to use pentest-ai
- 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.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xSteph/pentest-ai) · observed Jul 11, 2026
- GitHub forks (0xSteph/pentest-ai) · observed Jul 11, 2026
- Last push (0xSteph/pentest-ai) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · 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 on cards: pentest-ai 1.3k · anything-llm 63k (synced Jul 11, 2026).
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?
- 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. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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 and anything-llm alternatives (pentest-ai markdown twin, anything-llm 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, 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; anything-llm trust report.