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Build your own Cowork, AI Scientist and other SoTA Agents just by editing config files. An infinite-horizon agent framework designed for long-running, complex tasks.
[COLM 2024] A Survey on Deep Learning for Theorem Proving
ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].
Open-source implementation of AlphaEvolve
A community database for the problems on the erdosproblems.com site
Open-source context retrieval layer for AI agents
✨ Build a machine learning model from a prompt
A cross-platform, open-source music streaming desktop app that includes Spotify-like core functionalities and user-requested features—such as the ability to upload personal music.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
"RAG-Anything: All-in-One RAG Framework"
Latent Collaboration in Multi-Agent Systems
🔥Highlighting the top ML papers every week.
Model Context Protocol Servers
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Get 10X more out of Claude Code, Codex or any coding agent
List of open source startups funded by Y Combinator
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
A curated list of 120+ LLM libraries category wise.
all of the workflows of n8n i could find (also from the site itself)
MentraOS is the leading smart glasses platform + SDK. Stream your view, transcribe audio, talk to AI and capture photos hands-free on compatible glasses.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Discriminative Fine-tuning of LLMs without reward models and human preference data