Distributed AI Agent Framework

polaris: A Distributed AI Agent Framework for Function Calling

polaris is a Go framework for building distributed AI agents.

These agents run as lightweight sidecars alongside your applications, securely exposing system capabilities and local resources (like logs or metrics) via Function Calling. This enables AI models (such as Google's Vertex AI Gemini) to intelligently interact with your distributed infrastructure through a unified polaris interface, simplifying complex coordination. This framework is designed for parallel execution to handle demanding workloads.

Features

1. Distributed Agent Architecture: Deploy lightweight polaris agents across your infrastructure (servers, containers). Each agent registers specific functions, making local resources or actions available network-wide.
2. Access Local Resources via AI: Enable AI models to securely query log files, fetch system status, execute commands, or interact with other server-local resources through the Function Calls exposed by your distributed agents.
3. Parallel Execution: Handles heavy workloads efficiently by executing incoming Function Call requests in parallel across agents, preventing bottlenecks.
4. Simplified JSON Schema: Define function parameters and responses with a much more concise and readable syntax compared to standard library methods.
5. Simple Agent Implementation: Easily