The original was basically my own notepad that I decided to post before losing another version somewhere on my desktop lol. This one keeps that idea, with a much bigger list and a bit more organisation.
There are frameworks for building your own agents, coding tools you can actually open and use, research agents, browser automation, voice agents, and a dedicated section for agentic harnesses. Also included the useful boring stuff: testing, tracing, permissions and checking whether a project is still maintained.
This is a research directory, not a benchmark or a claim that every project has been personally tested. The main entries have public documentation and recent repository or release activity. Smaller projects and slower moving tools are labelled separately. I do my best to actually read through community feedback and real world user write ups when I research and create these lists / knowledge bases etc but as always, do your own research and go in with an open mind when you test out stuff :D
....that's what keeps it fun (for me anyway haha!)
Love always, it's a crazy world atm and stuff is moving so quickly, be kind to eachother and share knowledge and we must just get through this all good <3
~tegridydev
reactedtotheirpost with ππ€π§ β€οΈ3 days ago
The original was basically my own notepad that I decided to post before losing another version somewhere on my desktop lol. This one keeps that idea, with a much bigger list and a bit more organisation.
There are frameworks for building your own agents, coding tools you can actually open and use, research agents, browser automation, voice agents, and a dedicated section for agentic harnesses. Also included the useful boring stuff: testing, tracing, permissions and checking whether a project is still maintained.
This is a research directory, not a benchmark or a claim that every project has been personally tested. The main entries have public documentation and recent repository or release activity. Smaller projects and slower moving tools are labelled separately. I do my best to actually read through community feedback and real world user write ups when I research and create these lists / knowledge bases etc but as always, do your own research and go in with an open mind when you test out stuff :D
....that's what keeps it fun (for me anyway haha!)
Love always, it's a crazy world atm and stuff is moving so quickly, be kind to eachother and share knowledge and we must just get through this all good <3
The original was basically my own notepad that I decided to post before losing another version somewhere on my desktop lol. This one keeps that idea, with a much bigger list and a bit more organisation.
There are frameworks for building your own agents, coding tools you can actually open and use, research agents, browser automation, voice agents, and a dedicated section for agentic harnesses. Also included the useful boring stuff: testing, tracing, permissions and checking whether a project is still maintained.
This is a research directory, not a benchmark or a claim that every project has been personally tested. The main entries have public documentation and recent repository or release activity. Smaller projects and slower moving tools are labelled separately. I do my best to actually read through community feedback and real world user write ups when I research and create these lists / knowledge bases etc but as always, do your own research and go in with an open mind when you test out stuff :D
....that's what keeps it fun (for me anyway haha!)
Love always, it's a crazy world atm and stuff is moving so quickly, be kind to eachother and share knowledge and we must just get through this all good <3
What can you actually build with a cybersecurity dataset?
I've been updating a few of mine on Hugging Face, and they now cover some pretty different parts of the security workflow.
- open malsec has 1,104 defensive security scenarios across 20 subsets covering phishing, malware, scams, cloud security, API security, AI security and more
- opensec triage has 50,000 contextual alert examples, plus compact model and edge training sets for testing whether models classify from the evidence around an event
- infosec tool output has 1,004 examples across 19 tools for turning raw security output into evidence backed explanations, limitations and defensive next steps
You could use them for:
* phishing and scam explainers * alert triage tools * SOC assistants * scanner output explainers * analyst training * model comparisons * grounding and hallucination tests * small specialised security models * edge and local model experiments
Or combine them into something like:
scenario β evidence β triage β explanation β next action
You also don't need to train anything straight away.
Grab a few examples, run them through whatever model you already use and see where it gets confused :)
What can you actually build with a cybersecurity dataset?
I've been updating a few of mine on Hugging Face, and they now cover some pretty different parts of the security workflow.
- open malsec has 1,104 defensive security scenarios across 20 subsets covering phishing, malware, scams, cloud security, API security, AI security and more
- opensec triage has 50,000 contextual alert examples, plus compact model and edge training sets for testing whether models classify from the evidence around an event
- infosec tool output has 1,004 examples across 19 tools for turning raw security output into evidence backed explanations, limitations and defensive next steps
You could use them for:
* phishing and scam explainers * alert triage tools * SOC assistants * scanner output explainers * analyst training * model comparisons * grounding and hallucination tests * small specialised security models * edge and local model experiments
Or combine them into something like:
scenario β evidence β triage β explanation β next action
You also don't need to train anything straight away.
Grab a few examples, run them through whatever model you already use and see where it gets confused :)