Curated list of papers towards foundation agents
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This repository is a curated collection of papers, repositories, and blogs focused on "Foundation Agents," a rapidly evolving area of AI research. It serves as a comprehensive resource for researchers and practitioners interested in understanding the core components, advancements, and challenges in building intelligent agents capable of complex reasoning, perception, memory, and action. The project aims to map the landscape of foundation agents, providing a structured overview of key concepts and related work.
How It Works
The project organizes research papers and code repositories into key components of intelligent agents, including Cognition, Memory, Perception, World Model, Action, Reward, and Emotion. It categorizes advancements within these components, such as different memory types (short-term, long-term, semantic, episodic, procedural) and reasoning strategies (e.g., Chain-of-Thought, Tree of Thoughts, Graph of Thoughts). This structured approach allows users to navigate and understand the diverse research directions and techniques employed in foundation agent development.
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Maintenance & Community
The project is actively maintained and welcomes community contributions for suggesting related work. It appears to be a community-driven effort to catalog research in this fast-moving field.
Licensing & Compatibility
The repository itself is a collection of links and information, not software to be installed. The licensing of the linked papers and code repositories would vary and must be checked individually.
Limitations & Caveats
As a curated list, the repository does not provide executable code or frameworks for building foundation agents. Its value lies in its comprehensive indexing of existing research, requiring users to seek out and evaluate individual papers and codebases. The "Coming soon: Version 2!" note suggests ongoing development and potential updates to the structure or content.
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