Top AI Repos — open-source AI, indexed and scored
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.
A collection of AI Agents papers (Updated biweekly)
| Date | Stars |
|---|---|
| 2026-07-31 | 1579 |
| 2026-08-04 | 1587 |
| 2026-08-06 | 1587 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
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growth rate 0.00%/day
# AI Agents Papers
This repository curates the latest research papers on the applications and architectural technologies of AI agents. We perform weekly Arxiv searches using specific keywords and pick only those that are particularly interesting. Rather than striving for comprehensiveness, we add papers when they introduce a distinctively new approach or novel concept that stands out from existing methods.
## AI Agent
An AI Agent is an autonomous system powered by large language models that can perceive its environment, reason through complex tasks, and use tools to take actions in pursuit of specific goals. It combines reasoning, planning, memory, and tool-use capabilities to operate independently or as part of a multi-agent system.
<figure style="text-align: center;">
<img alt="" src="./assets/ai-agent-workflow.png" width="500" />
<figcaption style="text-align: center;">AI Agent Workflows</figcaption>
</figure>
## Paper Categories
🔥: Recommended papers
📖: Survey papers
⚖️: Benchmark papers
- **Agent Capabilities**
- [Environment](capability-papers/environment.md)
- [Ideation](capability-papers/ideation.md)
- [Planning](capability-papers/planning.md)
- [Reasoning](capability-papers/reasoning.md)
- [Profile](capability-papers/profile.md)
- [Perception](capability-papers/perception.md)
- [Tool Use & Skills](capability-papers/tool-use.md)
- [Self-Correction](capability-papers/self-correction.md)
- [Search](capability-papers/search.md)
- [Memory](capability-papers/memory.md)
- [Self-Evolution](capability-papers/self-evolution.md/#self-evolution-self-improvement)
- [Safety](capability-papers/safety.md)
- [Agent Tuning](capability-papers/learning.md)
- [Agent Evaluation](capability-papers/evaluation.md)
- **AI Agents Architecture**
- [Single-Agent](agent-frameworks/agent-framework.md#single-agents)
- [Multi-Agent](agent-frameworks/agent-framework.md#multi-agents)
- [Agent-Ops](agent-frameworks/agent-framework.md#agent-ops--ux)
- **AI Agents Applications**
- [Embodied Agents](application-papers/embodied-agents.md)
- [Digital Agents](application-papers/digital-agents.md)
- [GUI Agents](application-papers/digital-agents.md/#computer-controlled-app-based-agents)
- [Web Agents](application-papers/digital-agents.md/#web-based-agents)
- [Mobile Agents](application-papers/digital-agents.md/#mobile-based-agents)
- [Software Agents](application-papers/software-agents.md)
- [Data Agents](application-papers/data-agents.md)
- [Research Agents](application-papers/research-agents.md)
- [API Agents](application-papers/api-agents.md)
- [Deep Research Agents](application-papers/deep-research-agents.md)
- [Agentic AI Systems](application-papers/agentic-ai-system.md)
- [Enterprise Agents](application-papers/enterprise-agents.md)
- [Financial Agents](application-papers/finance-agents.md)
- [Multi-Agents](application-papers/multi-agent.md)
- [MAD](application-papers/multi-agent.md#mad)
- [Problem Solving](application-papers/multi-agent.md#problem-solving)
- [World Simulation](application-papers/multi-agent.md#world-simulation)
- **GenAI Agents Presentations**
- [Tutorial & Lecture](lectures/tutorial-lecture.md)
## References
- [LLM Agents Papers](https://github.com/zjunlp/LLMAgentPapers)
- [Awesome LLM-Powered Agent](https://github.com/hyp1231/awesome-llm-powered-agent/)
- [Awesome LLM agents](https://github.com/kaushikb11/awesome-llm-agents)
# May Highligits
## Harness
* **"ReFlect: An Effective Harness System for Complex Long-Horizon LLM Reasoning"** [[paper](https://arxiv.org/abs/2605.05737)]
* **"PriorZero: Bridging Language Priors and World Models for Decision Making"** [[paper](https://arxiv.org/abs/2605.12289)]
* **"AI Harness Engineering: A Runtime Substrate for Foundation-Model Software Agents"** [[paper](https://arxiv.org/abs/2605.13357)]
* **"Harnessing Agentic Evolution"** [[paper](https://arxiv.org/abs/2605.13821)]
* ⚖️ **"Auditing AgentExcerpt of 30,005 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:33dfd93b999f171c, topic:agents, name:ai agent, desc:ai agents
matched fp:33dfd93b999f171c, topic:llm