LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety.
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-llm-agent-papers is awesome-llm-agent-papers is an open-source project written in Python: LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), js-lee-AI/awesome-llm-agent-papers has accumulated 103 GitHub stars and 36 forks. It is written in Python, licensed under MIT, and ranks #25,818 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | js-lee-AI/awesome-llm-agent-papers ↗ |
|---|---|
| Primary Category | agent benchmark |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 103 stars · ⑂ 36 forks · #25,818 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 1 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, awesome-llm-agent-papers is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (15 days ago). Supported by 103 stars and 36 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (15 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,659
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
awesome-llm-agent-papers gained 10 stars in the last 30 days, about 1 a day, and now has 103. It is about 1 year old and has averaged roughly 103 stars a year. It ranks #3,659 among Python repositories and #25,818 across all languages on GitHubRepo.
Trending Record
12
DAYS ON TRENDING
#20044
BEST RANK
Oct 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-llm-agent-papers has maintained a continuous presence across global trending indexes, peaking at #20044. Below is the 30-day activity profile:
💡 Overview
awesome-llm-agent-papers is an open-source project written in Python: LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-benchmark, agent-survey, agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install awesome-llm-agent-papers⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-llm-agent-papers coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with awesome-llm-agent-papers.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install awesome-llm-agent-papers using your package manager: `pip install awesome-llm-agent-papers`
Initialize your project workspace or configuration file for awesome-llm-agent-papers.
Import awesome-llm-agent-papers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-llm-agent-papers --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
js-lee-AI/awesome-llm-agent-papers is currently ranked #25,818 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,713 | qkaiser/broadcom-wps | Python | ★ 104 | Compare ↗ |
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| #25,713 | HuangShengZeBlueSky/dsh-harness-evolution | JavaScript | ★ 104 | Compare ↗ |
| #25,818 | js-lee-AI/awesome-llm-agent-papers This Project | Python | ★ 103 | |
| #25,818 | caged/lighthouse-api | Ruby | ★ 103 | Compare ↗ |
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Frequently Asked Questions
What does awesome-llm-agent-papers do? +
LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety.
Is awesome-llm-agent-papers actively maintained in 2026? +
Yes, awesome-llm-agent-papers is actively maintained. The latest code push was recorded on Oct 27, 2026 (15 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 103 stars and 1 open issues.
What language is awesome-llm-agent-papers written in? +
The primary language is Python. Topics include: agent-benchmark, agent-survey, agents, ai-agents, ai-safety.
How many stars does awesome-llm-agent-papers have? +
awesome-llm-agent-papers has 103 stars and 36 forks on GitHub.
How does awesome-llm-agent-papers rank among GitHub repositories? +
With 103 stars, js-lee-AI/awesome-llm-agent-papers is ranked #25,818 globally across all repositories tracked on GitHubRepo and #3,659 among Python projects.
What license is awesome-llm-agent-papers distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
