oritera/Cairn

Health v2 · maintenance only

Flags: young

Adoption not part of the score

2395 stars · 328 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cairn is a general-purpose AI state-space search engine built on a blackboard architecture with a fact-intent graph, where LLM agent workers coordinate via a shared board to find paths from a known origin to a defined goal. It has been validated primarily on autonomous penetration testing and CTF-style challenges.

Use cases

• automate penetration testing with llm agents
• solve ctf challenges automatically
• run autonomous red team exercises
• search unknown state spaces with ai agents
• coordinate multiple ai agents on a shared blackboard
• automate security testing of a target network

When to choose

• you need autonomous, goal-driven exploration of an unknown system like a pentest target or CTF challenge
• you want multi-agent coordination without predefined roles or workflows
• you want to inject human judgment mid-run while agents keep working

When to avoid

• you need a conventional scripted pentesting tool with fixed modules and reports
• your problem lacks a clear origin and success condition
• you cannot allow LLM agents to take actions against systems

Facets

framework · maturity active

agent-framework penetration-testing llm-inference security search-engine security penetration-testing artificial-intelligence large-language-models python cli cross-platform blackboard-architecture state-space-search llm-agents red-teaming ctf-tools stigmergy autonomous-agents security-automation ai-agents linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="oritera/Cairn")