Open Source Survey Tools
Surveys are structured ways to collect responses from people, often to understand preferences, experiences, needs, or opinions. They help researchers, organizations, and communities gather information consistently, identify patterns across responses, and make decisions based on feedback. Digital survey tools can simplify question design, distribution, response collection, and analysis, while reducing manual work and making it easier to reach participants across devices.
Open source options range from focused questionnaire and polling tools to broader form builders with branching logic, templates, and response reporting. When choosing one, consider its license, maintenance activity, accessibility, data handling, deployment requirements, and integrations with the systems you already use. Researchers, educators, nonprofits, businesses, and community organizers can use these tools to collect feedback while adapting workflows to their needs.
2 repositories · updated September 14, 2026

Awesome-Self-Evolving-Agents: A Curated List for AI Agent Research
Awesome-Self-Evolving-Agents is a comprehensive GitHub repository offering a curated collection of resources on self-evolving agents. It includes a systematic survey, research papers, benchmarks, and open-source projects, providing valuable insights into this rapidly advancing field of AI. This repository serves as an essential guide for researchers and developers exploring model-centric, environment-centric, and co-evolutionary approaches.

Awesome Dynamic Agent Skills: A Curated List for LLM Agent Skill Systems
Awesome Dynamic Agent Skills is a comprehensive curated reading list accompanying a TMLR 2026 survey on dynamic, self-evolving skill systems for LLM agents. It provides a unified taxonomy, an eight-stage lifecycle, and a ten-operator vocabulary for understanding how LLM agents acquire and manage skills. The repository audits 124 papers, offering valuable insights into this rapidly evolving field.