Home/Compare/allenact vs LLM-Agent-Paper-List

Comparison

allenact vs LLM-Agent-Paper-List

Verdict

Pick allenact if allenAct is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming; pick LLM-Agent-Paper-List if lLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning.

Markdown twin · allenact alternatives · LLM-Agent-Paper-List alternatives

GraphCanon updated Sep 24, 2026

5views this month

allenact logo

allenact

allenai/allenact

★ 384pushed May 19, 2026
vs
LLM-Agent-Paper-List logo

LLM-Agent-Paper-List

WooooDyy/LLM-Agent-Paper-List

★ 8.2kpushed Sep 12, 2025

Trust & integrity

SignalallenactLLM-Agent-Paper-List
Maintenance
Slowing (127d since push)
As of Sep 24, 2026 · github_public_v1
Dormant (371d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 24, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

allenact
An open source framework for research in Embodied-AI from AI2
LLM-Agent-Paper-List
Must-read papers for LLM-based agents.

Stars

allenact
384
LLM-Agent-Paper-List
8.2k

Forks

allenact
59
LLM-Agent-Paper-List
499

Open issues

allenact
58
LLM-Agent-Paper-List
32

Language

allenact
Python
LLM-Agent-Paper-List
-

Adopt for

allenact
AllenAct is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming.
LLM-Agent-Paper-List
LLM-Agent-Paper-List is a curated repository of essential papers on large language model-based agents, focusing on AgentGym, a framework for developing and training LLM agents through reinforcement learning.

Persona

allenact
-
LLM-Agent-Paper-List
-

Runtime

allenact
-
LLM-Agent-Paper-List
-

License

allenact
Other
LLM-Agent-Paper-List
-

Last pushed

allenact
May 19, 2026
LLM-Agent-Paper-List
Sep 12, 2025

Categories

allenact
AI Agents, Model Training
LLM-Agent-Paper-List
AI Agents, Evaluation & Observability, Model Training

Trust and health

Maintenance

allenact
Slowing (36%)
LLM-Agent-Paper-List
Dormant (18%)

Days since push

allenact
127d
LLM-Agent-Paper-List
371d

Open issues (now)

allenact
58
LLM-Agent-Paper-List
32

Stars delta

allenact
+2 (30d)
LLM-Agent-Paper-List
+50 (30d)

Open issues delta

allenact
0 (30d)
LLM-Agent-Paper-List
+1 (30d)

Owner type

allenact
Organization
LLM-Agent-Paper-List
User

OSV dependency advisories

allenact
Published findings
LLM-Agent-Paper-List
No lockfile (source not queried)

Full report

allenact
Trust report
LLM-Agent-Paper-List
Trust report

Choose allenact if…

  • Tags unique to allenact: ai, ai2, computer-vision, deep-learning.
  • When conducting research with embodied agents where the focus is on reinforcement learning and deep learning.
  • More recently updated (last pushed May 19, 2026).

When NOT to use allenact

  • For projects needing general-purpose machine learning capabilities unrelated to embodied agents or environments requiring minimal interaction with physical contexts.
  • If your project does not align with Python-based development, as AllenAct heavily depends on this language for its functionalities.

Choose LLM-Agent-Paper-List if…

  • Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm.
  • Also covers Evaluation & Observability.
  • When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning

When NOT to use LLM-Agent-Paper-List

  • If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents
  • When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications
  • If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: allenact 384 · LLM-Agent-Paper-List 8.2k (synced Sep 24, 2026).

Common questions

What is the difference between allenact and LLM-Agent-Paper-List?
allenact: An open source framework for research in Embodied-AI from AI2. LLM-Agent-Paper-List: Must-read papers for LLM-based agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose allenact over LLM-Agent-Paper-List?
Choose allenact over LLM-Agent-Paper-List when Tags unique to allenact: ai, ai2, computer-vision, deep-learning; When conducting research with embodied agents where the focus is on reinforcement learning and deep learning; More recently updated (last pushed May 19, 2026).
When should I choose LLM-Agent-Paper-List over allenact?
Choose LLM-Agent-Paper-List over allenact when Tags unique to LLM-Agent-Paper-List: agent, evaluation, large-language-models, llm; Also covers Evaluation & Observability; When you need a comprehensive list of must-read papers on LLM-based agents, including detailed insights into AgentGym, a framework for developing and training LLM agents through reinforcement learning.
When should I avoid allenact?
For projects needing general-purpose machine learning capabilities unrelated to embodied agents or environments requiring minimal interaction with physical contexts. If your project does not align with Python-based development, as AllenAct heavily depends on this language for its functionalities.
When should I avoid LLM-Agent-Paper-List?
If you are looking for a tool that focuses on a broader range of AI agent development beyond LLM-based agents, as LLM-Agent-Paper-List is specifically curated for LLM-based agents When you need real-time updates or a dynamic list of papers, as the repository is a static list and does not automatically update with new publications If you require a tool that includes practical code implementations for all listed papers, as the repository primarily serves as a list and does not provide comprehensive code for every paper
Is allenact or LLM-Agent-Paper-List more popular on GitHub?
LLM-Agent-Paper-List has more GitHub stars (8,222 vs 384). Stars measure visibility, not whether either tool fits your constraints.
Are allenact and LLM-Agent-Paper-List open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to allenact or LLM-Agent-Paper-List?
GraphCanon lists graph-backed alternatives at allenact alternatives and LLM-Agent-Paper-List alternatives (allenact markdown twin, LLM-Agent-Paper-List markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, allenact or LLM-Agent-Paper-List?
allenact: Slowing. LLM-Agent-Paper-List: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for allenact and LLM-Agent-Paper-List?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: allenact trust report; LLM-Agent-Paper-List trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.