Nevron Is Now Open Source
Today we are open-sourcing Nevron, the framework we use to build and run specialized AI agents inside Neurobro.
For us, this is a product release, not a side project. Nevron is the internal foundation behind a production multi-agent system, and we are now making that foundation available to developers who want to build their own agent-based applications.
The code is available now on GitHub at axioma-ai-labs/nevron.
What Nevron Is
Nevron is a lightweight framework for building specialized AI agents. It is designed for systems where agents need to plan, use tools, remember context, and work with other agents rather than operate as isolated chat interfaces.
The framework is built for developers who want a practical base for autonomous workflows, multi-agent coordination, and production-oriented execution.
What Ships Today
The open-source release includes the core building blocks behind the framework:
Planning. Agents can structure tasks, manage execution phases, and support more deliberate decision-making than a single prompt-response loop.
Memory. Vector-based memory systems allow agents to retain and retrieve context across tasks, making them more useful in longer-running workflows.
Tools. Agents can be connected to external services, APIs, databases, and other operational systems through modular integrations.
Feedback loops. The framework supports iterative execution patterns where outputs can be reviewed, retried, or routed into another pass.
Multi-provider model support. Developers can work with different model providers depending on the needs of a given agent or workflow.
Why We Built It This Way
Most agent frameworks are either too abstract to be useful in production or too opinionated to adapt cleanly to real systems. Nevron is meant to sit in a more practical middle ground: lightweight enough to stay flexible, but structured enough to support serious agent behavior.
Nevron focuses on a narrower problem: helping developers build specialized, autonomous agents that can collaborate, maintain context, and execute beyond a single conversation.
It comes from production use, not from a demo environment. The framework has been shaped by real multi-agent workloads, long-running tasks, tool orchestration, and the operational requirements of keeping many agents running in parallel.
Deployment
Nevron agents can be deployed locally or inside containerized environments, depending on the complexity of the use case. The framework is built to support both simple single-agent setups and larger distributed systems.
That means developers can start small, then extend into more advanced orchestration patterns as their requirements grow.
Available Now
Nevron is available now as an open-source release.
If you are building systems that require specialized agents, persistent memory, tool use, and multi-agent coordination, this is the framework we use ourselves and the one we are now making public.
Source code is available at axioma-ai-labs/nevron, and documentation is available at axioma-ai-labs.github.io/nevron.
