BAML Agents is designed for developers and AI practitioners seeking a modular, extensible platform to build autonomous agents. It provides a plugin-based architecture for seamless integration of custom tools, a memory subsystem for maintaining conversational context, and built-in support for multi-step reasoning workflows. With BAML Agents, users can quickly configure agent behaviors, connect to external APIs, and orchestrate complex tasks without reinventing common agent patterns. Its lightweight design and clear abstractions make it ideal for prototyping, research, and production-grade deployments in various automation scenarios.

MIU CS589 AI Agent API offers a standardized interface for building custom AI agents. Developers can define agent behaviors, integrate external tools or services, and handle streaming or batch responses via HTTP endpoints. The framework handles authentication, request routing, error handling and logging out of the box. It is fully extensible—users can register new tools, adjust agent memory, and configure LLM parameters. Suitable for experimentation, demos, and production prototypes, it simplifies multi-tool orchestration and accelerates AI agent development without locking you into a monolithic platform.

Huginn is a versatile, open-source automation framework that lets users create agents to monitor, gather, and act on data from various sources such as websites, APIs, social media, and email. Each agent can be configured to trigger on events, transform data, and pass it to other agents or external services. With built-in scheduling, logging, and a rich library of agent types—like RSSAgent, EmailAgent, WebhookAgent, and DataOutputAgent—Huginn supports complex workflows and conditional logic. It runs on Linux, macOS, Windows, or Docker, and can be extended with custom Ruby code or Docker containers for specialized tasks and integrations.