agentic_security vs cc-safety-net

The two are close in size: 2.0k stars for agentic_security, 1.5k for cc-safety-net. Over the days we have tracked them agentic_security moved +4.7% and cc-safety-net +2.9%, so agentic_security is growing faster right now.

They split the axes: agentic_security leads on model freedom, cc-safety-net on context depth.

Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.

Where they stand today

Agentic Security focuses on agent/workflow-focused, multimodal (text, image, audio) and multi-step attack/fuzzing capabilities (including RL-based and dataset mutation approaches) to evaluate LLM vulnerabilities beyond single-shot prompt tests.

Stars
2.0k
Tracked growth
+4.7%
Maturity
Last commit
3d ago
Language
Python
License
Apache-2.0
Cost to run
Your LLM API key, usage billed by the provider

Parses command semantics (including shell wrappers and interpreter one-liners) to block destructive commands and secret access before they execute across many coding agent CLIs.

Stars
1.5k
Tracked growth
+2.9%
Maturity
Last commit
56m ago
Language
TypeScript
License
MIT
Cost to run
Free, local install (requires Node.js)
0%+5%69 tracked days
msoedov/agentic_securitykenryu42/cc-safety-net

Six axes, head to head

Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.

Axisagentic_securitycc-safety-net
Context depth
How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository.
Prompt-only
Command + related files
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
Thresholds/config
Presets + audit
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
Config + modules
Rulebooks & per-project
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
Self-hostable
Local-only
Model freedom
Whether you can point it at any provider, or it is wired to one.
Bring-your-own-key
Multiple agent CLIs
Setup ease
What it takes to get a first useful run out of it.
One-command start
One-command install

Which one to pick

Pick agentic_security if…

Easy setup — pip-installable and runnable locally with configurable datasets and modules to quickly run multimodal, multi-step vulnerability scans against your LLM endpoints.

  • Model freedom: Bring-your-own-key (5/5 against 3/5)
Runs in github-action, ci, cli, web-app. Works with byok, openai.

Pick cc-safety-net if…

Safety-first — Blocks destructive git/filesystem commands and secret access before AI agents run them, using semantic command analysis, configurable rulebooks, presets, and a local audit trail.

  • Context depth: Command + related files (3/5 against 1/5)
Runs in cli, coding-agent-plugin, web-app. Works with other-fixed.

What people want from each one

Questions people ask

Is agentic_security better than cc-safety-net?

They split the axes: agentic_security leads on model freedom, cc-safety-net on context depth. agentic_security is worth picking when easy setup — pip-installable and runnable locally with configurable datasets and modules to quickly run multimodal, multi-step vulnerability scans against your LLM endpoints.

Which of agentic_security and cc-safety-net keeps my code private?

agentic_security: Self-hostable (4/5). cc-safety-net: Local-only (5/5).

What does each one cost to run?

agentic_security: Your LLM API key, usage billed by the provider. cc-safety-net: Free, local install (requires Node.js).

Full profiles: msoedov/agentic_security and kenryu42/cc-safety-net. Everything else in Security & guardrails.