AGI-Edgerunners/LLM-Agents-Papers resource
A repo lists papers related to LLM based agent observed · 2026-08-28
Health v2 · maintenance only
43/100
- Activity 31
- Release rhythm 35
- Longevity 85
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1190
- days_rel: n/a
- days_push: 417
- n_releases_24m: 0
Adoption not part of the score
2340 stars · 155 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of research papers on LLM-based agents, organized by topics such as planning, memory, multi-agent systems, applications, training, and safety. It is a reading resource rather than executable software, with a small Python component and regular updates.
Use cases
- find research papers on llm agents
- survey of llm-based agent techniques
- reading list for multi-agent systems
- papers on agent planning and memory
- llm agent safety and hallucination papers
- benchmark and evaluation papers for llm agents
When to choose
- you want a broad, categorized collection of LLM agent research papers
- you need pointers to surveys, benchmarks, and application papers across many domains
- you want a regularly updated paper list with links to related lists
When to avoid
- you need runnable agent framework code or libraries
- you want production tooling rather than a reading list
- you require a licensed or formally maintained software project
Facets
learning-resource · maturity active
documentation artificial-intelligence large-language-models awesome-lists tutorials paper-list llm-agents awesome-list research-papers survey ai-agents web-server
1 source
- readme: https://github.com/AGI-Edgerunners/LLM-Agents-Papers · fetched 2026-08-28 · d7c8fa463436
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| AGI-Edgerunners/LLM-Agents-Papers | main | 43 |
For agents
markdown · JSON · MCP: product_card(name="AGI-Edgerunners/LLM-Agents-Papers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem