Open Source Software for Autonomous AI Agents
Trust actions. Trust memory. KyberonAI gives teams focused reliability layers for production agent systems.
Focused modules for agent reliability
Select a project to see the problem it solves and how it works in production stacks.
Problem
Autonomous agents can execute high-impact actions without enough oversight. Teams need a standardized way to gate, verify, and audit those decisions.
How It Works
- Wrap agent actions and tool calls with policy evaluation.
- Escalate to challenge flows based on risk and context.
- Capture immutable audit events for compliance and debugging.
Designed around real production breakpoints
Kyberon prioritizes high-impact failure patterns that teams hit when agents move from demo to production.
Unsafe autonomous actions
Agents can call tools with real-world impact faster than teams can review. Verification should scale with risk.
Compounding memory errors
Bad memory writes poison downstream steps. Reliability requires guardrails on both writes and retrieval.
No operational accountability
Without auditability, debugging incidents and proving compliance becomes costly and slow.
Plugs into your existing agent stack
Use Kyberon with the frameworks and workflow tools your team already runs.
Frequently asked questions
The basics teams ask before adopting Kyberon modules in production.
Yes. Attesta, MemProof, and TrailProof are open-source projects built for self-hosted and community-driven adoption.
Build trusted agents in the open
Adopt Attesta, MemProof, or TrailProof today and help shape the open reliability layer for autonomous AI systems.