tool calling

AgentPort is a secure tool-calling layer for AI agents, with 50+ integrations, per-tool approval policies, encrypted credentials, and detailed call logs. It connects through MCP or CLI and is designed to let agents use external services without exposing secrets.

An embeddable AI agent library written in C with tool calling, memory, sessions, voice, streaming, structured output, and support for both cloud and local models.

A minimal Rust crate for building agentic workflows in applications, with ticket-based orchestration, tools, knowledge storage, schema validation, retries, budget policies, and multi-provider support.

A Mojo port of the Pi AI Agent Toolkit with a set of runnable examples for chat, coding agents, tool calling, web research, and long-running agent loops.

A technical guide that shows how to build a small CLI-based LLM agent for microservices using tool discovery, model calls, conversation history, and a REPL loop.