ManasAI is a Python-based framework that enables the creation of autonomous AI agents with built-in state and modular components. It offers core abstractions for agent reasoning, short-term and long-term memory, external tool and API integrations, message-driven event handling, and multi-agent orchestration. Agents can be configured to manage context, execute tasks, handle retries, and gather feedback. Its pluggable architecture allows developers to tailor memory backends, tools, and orchestrators to specific workflows, making it ideal for prototyping chatbots, digital workers, and automated pipelines that require persistent context and complex interactions.

Promptix Python is an open-source framework for building autonomous AI agents in Python. With a simple installation via pip, you can instantiate agents powered by any major LLM, register domain-specific tools, configure in-memory or persistent data stores, and orchestrate multi-step decision loops. The SDK supports real-time streaming of token outputs, callback handlers for logging or custom processing, and built-in memory modules to retain context across interactions. Developers can leverage this library to prototype chatbot assistants, automations, data pipelines, or research agents in minutes. Its modular design allows swapping models, adding custom tools, and extending memory backends, providing flexibility for a wide range of AI agent use cases.