AgentServe provides a unified interface for creating and deploying AI agents. Users define agent behaviors in configuration files or code, integrate external tools or knowledge sources, and expose agents over REST endpoints. The framework handles model routing, parallel requests, health checks, logging, and metrics out of the box. AgentServe’s modular design allows plugging in new models, custom tools, or scheduling policies, making it ideal for building chatbots, automated workflows, and multi-agent systems in a scalable, maintainable way.

Isaree Platform is designed to streamline AI agent development and deployment. At its core, it provides a unified architecture for creating autonomous agents capable of conversation, decision-making, and collaboration. Developers can define multiple agents with custom roles, leverage vector-based memory retrieval, and integrate external data sources via pluggable modules. The platform includes a Python SDK and RESTful API for seamless interaction, supports real-time response streaming, and offers built-in logging and metrics. Its flexible configuration allows scaling across environments with Docker or cloud services. Whether building chatbots with persistent context, automating multi-step workflows, or orchestrating research assistants, Isaree Platform delivers extensibility and reliability for enterprise-grade AI solutions.