We focus on building modular AI software architecture, exploring technical directions such as context management, memory structures, and tool integration,
committed to developing practical, reliable, and responsible AI application prototypes.
Our R&D focuses on the following key areas, building practical AI software infrastructure
Adopting component-based design philosophy, splitting AI systems into modules that can be independently developed, tested, and deployed, supporting flexible composition and extension.
Exploring multi-layer memory structure prototypes, researching effective methods for long-term context management, information retrieval, and knowledge organization.
Researching the application of knowledge graphs and graph structures in AI systems, as well as integration solutions for external tools and services.
Researching access control, permission management, and system stability of AI systems, ensuring secure and reliable application operation.
Integrating responsible AI principles into the development process, focusing on the ethics, safety, and trustworthiness of AI systems.
Building developer-friendly toolchains and infrastructure, lowering the technical barrier for AI application development.
A modular AI Agent framework prototype we are developing, available under permissive license for developer exploration
The framework adopts a highly modular architecture design, with components that can be independently developed and tested, supporting flexible function composition and extension to adapt to different application scenario requirements.
Exploring implementation solutions for multi-layer memory structures, researching storage, retrieval, and management mechanisms for long-term context, enhancing coherence and personalization capabilities of AI applications.
Providing standardized tool calling interfaces and plugin mechanisms, supporting external service integration and custom function extensions, building a flexible AI application ecosystem.
The SoulSeed-AGI framework is currently in prototype development stage. We are actively exploring and validating various technical solutions.
We always focus on the ethics, safety, and trustworthiness of AI during development
Safe, trustworthy, responsible AI development practices
We believe AI should be developed and applied responsibly. Throughout our R&D process, we always prioritize safety, transparency, and user interests.
Designing clear safety boundaries in AI systems to prevent potential abuse and misuse risks.
Exploring approaches to improve transparency and explainability of AI systems, helping users better understand AI behavior patterns.
Respecting user privacy, following best practices in data processing and storage.