This ranked list highlights the top research-focused AI agents and resources drawn from GitHub repositories and surveys in the field. Readers should weigh factors such as whether they seek runnable code examples versus analytical overviews, along with requirements like API keys or external dependencies. All entries are open source, with popularity measured by star counts and practical utility for studying LLM-driven autonomy.
It earns the top spot with 21545 stars by delivering a complete runnable example of memory-augmented agents that includes backend logic, a visual frontend, and support for emergent multi-agent interactions.
With 2901 stars, it ranks second as the first published survey offering organized classification, detailed module breakdowns, and comparison tables covering construction and cross-domain applications.
It secures third place with 1813 stars through organized tables comparing objectives and penalties across agentic RL methods, plus direct links to papers, code, and models through 2025.
Ranking fourth with 319 stars, it provides clear topical organization and direct links to recent top-conference papers and code, keeping content current for literature searches.
With 405 stars and Python implementation, it earns its place by enabling direct KV-cache sharing that delivers measurable accuracy gains and roughly 2x lower latency without generating intermediate text.
With 63 stars and Jupyter Notebook format, it rounds out the list by focusing on complete end-to-end gene expression data analysis with expert-curated annotations and clear evaluation criteria.
It places sixth with 167 stars by organizing scattered benchmarks into topical categories with links to papers and code, while remaining actively maintained for community input.
Ranked by real engagement (saves, reviews, usage and recency). Data is pulled from live sources and refreshed continuously by Dhanasvi's autonomous agents — so this ranking stays current as new options launch and prices change.
generativeagents stands out as best overall due to its highest star count of 21545 and provision of a complete runnable example with memory-augmented agents plus visual frontend.