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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
About Awesome things towards foundation agents. Papers / Repos / Blogs / ...
| Date | Stars |
|---|---|
| 2026-07-31 | 2200 |
| 2026-08-04 | 2199 |
| 2026-08-06 | 2199 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Awesome-Foundation-Agents
[](https://github.com/FoundationAgents/awesome-foundation-agents/pulls)
[](LICENSE)
[](https://awesome.re)
[](https://arxiv.org/pdf/2504.01990)
We maintain a curated collection of papers exploring the path towards Foundation Agents, with a focus on formulating the core concepts and navigating the research landscape.
⌛️ Coming soon: Version 2! We're continuously compiling and updating cutting-edge insights. Feel free to suggest any related work you find valuable!
## Our Works Towards Foundation Agents
✨✨✨ [Advances and Challenges in Foundation Agents](https://www.arxiv.org/abs/2504.01990) (Paper)
# Awesome Papers
<font size=5><center><b> Table of Contents </b> </center></font>
- [Core Components of Intelligent Agents](#core-components-of-intelligent-agents)
- [Cognition](#cognition)
- [Memory](#memory)
- [Perception](#perception)
- [World Model](#world-model)
- [Action](#action)
- [Reward](#reward)
- [Emotion](#emotion)
- [Self-Enhancement in Intelligent Agents](#self-enhancement-in-intelligent-agents)
- [Collaborative and Evolutionary Intelligent Systems](#collaborative-and-evolutionary-intelligent-systems)
- [Building Safe and Beneficial AI](#building-safe-and-beneficial-ai)
# Core Components of Intelligent Agents
## Cognition
<div style="display: flex; justify-content: space-between;">
<img src="assets/2-1-cognition.png" alt="Cognition System" width="100%">
</div>
### Learning
#### Space
##### Full
- **Add SFT,RLHF,PEFT**
- **ReFT: Reasoning with Reinforced Fine-Tuning**, arxiv 2024, [[paper](https://arxiv.org/abs/2401.08967)] [[code]()]
- **Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning** [[paper](https://arxiv.org/abs/2503.09516)] [[code](https://github.com/PeterGriffinJin/Search-R1)]
- **R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning**, arxiv 2025, [[paper](https://arxiv.org/abs/2503.05592)] [[code]()]
##### Partial
- **Chain-of-Thought Prompting Elicits Reasoning in Large Language Models**, Wei et al. 2022, [[paper](https://arxiv.org/abs/2201.11903)] [[code]()]
- **Voyager: An Open-Ended Embodied Agent with Large Language Models**, arxiv 2023, [[paper](https://arxiv.org/abs/2305.16291)] [[code]()]
- **Reflexion: Language Agents with Verbal Reinforcement Learning**, NeurIPS 2023, [[paper](https://arxiv.org/abs/2303.11366)] [[code]()]
- **ReAct meets ActRe: Autonomous Annotations of Agent Trajectories for Contrastive Self-Training**, arxiv 2024, [[paper](https://arxiv.org/abs/2403.14589)] [[code]()]
- **Generative Agents: Interactive Simulacra of Human Behavior**, ACM UIST 2023, [[paper](https://arxiv.org/abs/2304.03442)] [[code]()]
#### Objective
##### Perception
- **CLIP: Learning Transferable Visual Models from Natural Language Supervision**, ICML 2021, [[paper](https://arxiv.org/abs/2103.00020)] [[code]()]
- **LLaVA: Visual Instruction Tuning**, NeurIPS 2023, [[paper](https://arxiv.org/abs/2304.08485)] [[code]()]
- **CogVLM: Visual Expert for Pretrained Language Models**, NeurIPS 2025, [[paper](https://arxiv.org/abs/2311.03079)] [[code]()]
- **Qwen2-Audio Technical Report**, arxiv 2024, [[paper](https://arxiv.org/abs/2407.10759)] [[code]()]
- **Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning**, arxiv 2025, [[paper](https://arxiv.org/abs/2503.09516)] [[code]()]
##### Reasoning
- **SKY-T1: Train Your Own o1 Preview Model Within $450**, 2025, [[paper](https://arxiv.org/abs/2502.07374)] [[code]()]
- **Open Thoughts**, 2025, [[paper](https://arxiv.org/abs/2506.0417Excerpt of 105,477 characters
Read on GitHub
38
Jiayi Zhang · HKUST(GZ) · China
13
Kunlun Zhu
10
Zhaoyang Yu · @FoundationAgents · United States
9
5
Boyan Li · @HKUSTDial · China
3
2
Shaokun Zhang · Nvdia Research
2
2
1
1
Jiachen LIU · Meta · United States
1
Alexander Wu · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8febb2613d0d3664, llm:Repository is an "Awesome" curated list about foundation agents: contains links to papers, repos, blogs related to foundation agents (description: 'About Awesome things towards foundation agents. Papers / Repos / Blogs / ...').
matched fp:8febb2613d0d3664, llm:Repository is an "Awesome" curated list about foundation agents: contains links to papers, repos, blogs related to foundation agents (description: 'About Awesome things towards foundation agents. Papers / Repos / Blogs / ...').
matched fp:8febb2613d0d3664, llm:Repository is an "Awesome" curated list about foundation agents: contains links to papers, repos, blogs related to foundation agents (description: 'About Awesome things towards foundation agents. Papers / Repos / Blogs / ...').