Home/Compare/pentest-ai vs anything-llm

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

pentest-ai logo

pentest-ai

0xSteph/pentest-ai

1.3kpushed Jul 5, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

Signalpentest-aianything-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 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.