Evonic
An agentic AI framework for designing, deploying and orchestrating multi-agent systems across distributed environments, with native agent-to-agent communication and a system that blocks dangerous agent actions before they execute.
Evonic is an agentic AI framework for designing, building and orchestrating intelligent agents from concept to production, letting a developer define each agent's model, tools, knowledge base, channels and skills and compose them into multi-agent systems.
A Workplace is a first-class execution environment that can be a local sandboxed workspace, a remote SSH server or edge device, or a tunnel through a lightweight connector that needs no public IP, SSH access or firewall rules, so agents can run across a whole infrastructure under one abstraction. Agent-to-agent communication is a native protocol rather than an add-on, supporting multi-agent swarms, hierarchical supervisor/worker orchestration and peer-to-peer collaboration.
Every agent action passes through a real-time, multi-layer heuristic detection system that blocks dangerous patterns, such as mass file deletion, privilege escalation, unauthorized remote code execution or behavior drifting outside expected bounds, escalating to a human operator instead of executing automatically.