# Awesome-Self-Improving-Agents: A Curated List for Agentic AI Self-Improvement This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/selfimproving-agent-awesome-self-improving-agents Generated for open source discovery and AI-assisted research. Awesome-Self-Improving-Agents is a comprehensive GitHub repository featuring a curated and continuously updated list of resources on self-improvement in foundation model-based agentic systems. It serves as a central hub for researchers and practitioners, offering papers, benchmarks, and various media. This resource is essential for anyone exploring the cutting edge of self-evolving AI agents. GitHub: https://github.com/selfimproving-agent/Awesome-Self-Improving-Agents OSRepos URL: https://osrepos.com/repo/selfimproving-agent-awesome-self-improving-agents ## Summary Awesome-Self-Improving-Agents is a comprehensive GitHub repository featuring a curated and continuously updated list of resources on self-improvement in foundation model-based agentic systems. It serves as a central hub for researchers and practitioners, offering papers, benchmarks, and various media. This resource is essential for anyone exploring the cutting edge of self-evolving AI agents. ## Topics - agentic-ai - self-improving-agents - llm - awesome-list - recursive-self-improvement - machine-learning - artificial-intelligence - research ## Repository Information Last analyzed by OSRepos: Mon Sep 14 2026 16:56:10 GMT+0100 (Western European Summer Time) Detail views: 0 GitHub clicks: 0 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Introduction The `Awesome-Self-Improving-Agents` repository, maintained by selfimproving-agent, is a meticulously curated and continuously evolving resource hub dedicated to the field of self-improvement in foundation model-based agentic systems. This repository provides a central collection of essential materials, including research papers, benchmarks, insightful blogs, podcasts, interviews, videos, workshops, and courses. It serves as a companion to the survey paper "Self-Improvements in Modern Agentic Systems: A Survey", offering a deep dive into the definition and scope of foundation model-based agents, self-improvement loops, and the distinct categories of foundation model improvement and scaffolding improvement. ## Why Use It & Key Benefits This repository offers unparalleled value for anyone interested in the rapidly advancing domain of self-improving AI agents. Its key benefits include: * **Comprehensive Overview**: Provides a structured and exhaustive collection of resources, making it easy to grasp the current state and future directions of agentic AI. * **Structured Taxonomy**: Features a clear taxonomy that categorizes self-improving agents along two orthogonal axes: Foundation Model Improvement and Scaffolding Improvement, aiding in a deeper understanding of the mechanisms involved. * **Up-to-Date Literature**: Continuously updated with the latest research, including upcoming publications, ensuring users have access to the most recent advancements. * **Evaluation and Benchmarking Insights**: Offers dedicated sections on how agent progress is measured and groups benchmarks by improvement mechanism and application domain, crucial for assessing agent performance. * **Diverse Resource Formats**: Beyond academic papers, it includes blogs, podcasts, and videos, catering to different learning preferences and providing broader context. * **Community Engagement**: Facilitates connection with other researchers and enthusiasts through its Discord community. ## How to Explore As an awesome list, `Awesome-Self-Improving-Agents` does not require any traditional installation. To benefit from this valuable resource: 1. **Visit the GitHub Repository**: Navigate directly to the repository's GitHub page to browse its contents. 2. **Read the `README.md`**: The `README.md` file provides a comprehensive, structured overview of the entire list, including definitions, taxonomy, and direct links to resources. 3. **Explore the Survey Paper**: For a foundational understanding, delve into the accompanying survey paper, linked within the repository, which details the theoretical underpinnings. 4. **Engage with the Community**: Join the Discord server to discuss topics, ask questions, and connect with other members of the self-improving agents community. ## Examples The repository meticulously organizes key literature and resources. Here are a few examples of the types of content you'll find: * **Foundation Model Improvement**: Discover papers like `Self-Instruct: Aligning Language Models with Self-Generated Instructions` (2023), `Constitutional AI: Harmlessness from AI Feedback` (2022), and `RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation` (2023), illustrating how foundation models can enhance themselves through various feedback mechanisms and interactions. * **Scaffolding Improvement**: Explore advancements in `Prompt Optimization` with works such as `Self-Refine: Iterative Refinement with Self-Feedback` (2023), `Memory` enhancements seen in `Generative Agents: Interactive Simulacra of Human Behavior` (2023), and `Tool` integration exemplified by `Voyager: An Open-Ended Embodied Agent with Large Language Models` (2023). * **Evaluation & Benchmarking**: Understand how agents are assessed through benchmarks like `SWE-Bench` for software engineering tasks and `Mind2Web` for web navigation, providing critical insights into agent capabilities and progress. * **Related Resources**: Access a rich collection of supplementary materials, including blogs from Anthropic and Google DeepMind, podcasts featuring AI pioneers like Jürgen Schmidhuber, and academic courses from institutions like Stanford University. ## Links * **GitHub Repository**: [https://github.com/selfimproving-agent/Awesome-Self-Improving-Agents](https://github.com/selfimproving-agent/Awesome-Self-Improving-Agents){:target="_blank"} * **Survey Paper (arXiv)**: [https://arxiv.org/abs/2607.13104](https://arxiv.org/abs/2607.13104){:target="_blank"} * **Project Page**: [https://selfimproving-agent.github.io/](https://selfimproving-agent.github.io/){:target="_blank"} * **Discord Community**: [https://discord.gg/fn5rYJhgaz](https://discord.gg/fn5rYJhgaz){:target="_blank"}