Odyssey provides a flexible architecture for building collaborative multi-agent systems. It includes core components such as the Task Manager for defining and distributing subtasks, Memory Modules for storing context and conversation histories, Agent Controllers for coordinating LLM-powered agents, and Tool Managers for integrating external APIs or custom functions. Developers can configure workflows via YAML files, select prebuilt LLM kernels (e.g., GPT-4, local models), and seamlessly extend the framework with new tools or memory backends. Odyssey logs interactions, supports asynchronous task execution, and enables iterative refinement loops, making it ideal for research, prototyping, and production-ready multi-agent applications.

At its core, Memary provides a modular memory management system tailored for large language model agents. By abstracting memory interactions through a common API, it supports multiple storage backends, including in-memory dictionaries, Redis for distributed caching, and vector stores like Pinecone or FAISS for semantic search. Users define schema-based memories (episodic, semantic, or long-term) and leverage embedding models to populate vector stores automatically. Retrieval functions allow contextually relevant memory recall during conversations, enhancing agent responses with past interactions or domain-specific data. Designed for extensibility, Memary can integrate custom memory backends and embedding functions, making it ideal for developing robust, stateful AI applications such as virtual assistants, customer service bots, and research tools requiring persistent knowledge over time.

Minerva is an extensible AI agent framework designed to automate complex workflows using large language models. Developers can integrate external tools—such as web search, API calls, or file processors—define custom planning strategies, and manage conversational or persistent memory. Minerva supports both synchronous and asynchronous task execution, configurable logging, and a plugin architecture, making it easy to prototype, test, and deploy intelligent agents capable of reasoning, planning, and tool use in real-world scenarios.