Doraemon-Agent is an open-source Python platform and framework designed for developers to build sophisticated AI agents. It allows you to integrate custom plugins and external tools, maintain long-term memory across sessions, and execute chain-of-thought planning with multiple steps. Developers can configure agent roles, manage context, log interactions, and extend functionality through a plugin architecture. It simplifies the creation of autonomous assistants for tasks like data analysis, research support, or customer service automation.

Linguistic Agent System is an open-source Python framework designed for constructing intelligent agents that leverage language models to plan and execute tasks. It includes components for memory management, tool registry, planner, and executor, allowing agents to maintain context, call external APIs, perform web searches, and automate workflows. Configurable via YAML, it supports multiple LLM providers, enabling rapid prototyping of chatbots, content summarizers, and autonomous assistants. Developers can extend functionality by creating custom tools and memory backends, deploying agents locally or on servers.

Saga provides a flexible architecture for building AI agents that plan and execute multi-step workflows. Core components include a planner module that breaks goals into actions, a memory store for conversational and task context, and a tool registry for integrating external services or scripts. Agents run asynchronously, manage state across sessions, and support custom tool development. Saga enables rapid prototyping of autonomous assistants, automating tasks such as data collection, alerting, and interactive Q&A within your own Python environment.