[Up-To-Date] [TMLR 2026] Awesome Agent Memory Paper Resource

AI agents running research on single-GPU nanochat training automatically

#1 OpenCode Plugin- Battery included. ASYNC SUBAGENTS (YES LIKE CLAUDE CODE) · Curated agents with proper models · Crafted tools like LSP/AST included · Curated MCPs · Claude Code Compatible Layer …

Gajae Code MVP

[Nips 2025] EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

2026最新悄咪咪收集的10000+个Telegram群合集、tg导航、电报导航、telegram导航，附全网最有趣好用的机器人BOT🤖【tg10000.com】

Algorithms for latent compaction

BioNeMo Recipes: For building and adapting AI models in drug discovery at scale

Open-H-Embodiment is a community‑driven dataset initiative building the open, shared foundation needed to train and evaluate a generalist Vision‑Language‑Action (VLA) model for healthcare robotics

你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候，对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Give your agents the power of the Hugging Face ecosystem

Memory Mosaics are networks of associative memories working in concert to achieve a prediction task.

Elevate your AI research writing, no more tedious polishing ✨

Accept by RSS 2026 🎉

[ICLR'26] MedAgentGYM: Training LLM Agents for Code-Based Medical Reasoning at Scale

Benchmarking DNA Language Models on Biologically Meaningful Tasks

Stack is a single-cell foundation model that enables in-context learning at inference time.

Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

Contexts Optical Compression

Official PyTorch implementation for "Large Language Diffusion Models"

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A library of reinforcement learning components and agents

Code for "Variational Reasoning for Language Models"

Cell2Sentence: Teaching Large Language Models the Language of Biology