Comparison
in-context-ralm vs LLM-Agent-Paper-List
Verdict
Pick in-context-ralm when tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments; pick LLM-Agent-Paper-List when tags unique to LLM-Agent-Paper-List: agent, large-language-models, llm, nlp.
Markdown twin · in-context-ralm alternatives · LLM-Agent-Paper-List alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | in-context-ralm | LLM-Agent-Paper-List |
|---|---|---|
| Maintenance | Archived (934d since push) As of today · github_public_v1 | Slowing (302d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | 75 low (75 low) As of today · osv@v1 | No lockfile As of 1d · none |
Tagline
- in-context-ralm
- In-Context Retrieval-Augmented Language Models
- LLM-Agent-Paper-List
- The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Stars
- in-context-ralm
- 295
- LLM-Agent-Paper-List
- 8.2k
Forks
- in-context-ralm
- 28
- LLM-Agent-Paper-List
- 492
Open issues
- in-context-ralm
- 4
- LLM-Agent-Paper-List
- 25
Language
- in-context-ralm
- Python
- LLM-Agent-Paper-List
- -
Adopt for
- in-context-ralm
- -
- LLM-Agent-Paper-List
- LLM-Agent-Paper-List is a meticulously curated collection focused on essential research papers related to AI agents built using Large Language Models, encompassing reinforcement learning frameworks and methodologies. It’
Persona
- in-context-ralm
- -
- LLM-Agent-Paper-List
- -
Runtime
- in-context-ralm
- -
- LLM-Agent-Paper-List
- -
License
- in-context-ralm
- Apache-2.0
- LLM-Agent-Paper-List
- -
Last pushed
- in-context-ralm
- Dec 20, 2023
- LLM-Agent-Paper-List
- Sep 12, 2025
Categories
- in-context-ralm
- Evaluation & Observability, Model Training
- LLM-Agent-Paper-List
- AI Agents, LLM Frameworks, Model Training
Trust and health
Maintenance
- in-context-ralm
- Archived (8%)
- LLM-Agent-Paper-List
- Slowing (36%)
Days since push
- in-context-ralm
- 934d
- LLM-Agent-Paper-List
- 302d
Archived on GitHub
- in-context-ralm
- Yes
- LLM-Agent-Paper-List
- No
Open issues (now)
- in-context-ralm
- 4
- LLM-Agent-Paper-List
- 25
Owner type
- in-context-ralm
- Organization
- LLM-Agent-Paper-List
- User
Security scan
- in-context-ralm
- 75 low (75 low)
- LLM-Agent-Paper-List
- No lockfile
Full report
- in-context-ralm
- Trust report
- LLM-Agent-Paper-List
- Trust report
Choose in-context-ralm if…
- Tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments.
- Also covers Evaluation & Observability.
- Leaner open-issue backlog (4).
When NOT to use in-context-ralm
- in-context-ralm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose LLM-Agent-Paper-List if…
- Tags unique to LLM-Agent-Paper-List: agent, large-language-models, llm, nlp.
- Also covers AI Agents, LLM Frameworks.
- Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.
When NOT to use LLM-Agent-Paper-List
- Not suitable if your focus is on traditional machine learning models without a language model foundation.
- May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AI21Labs/in-context-ralm) · observed Jul 11, 2026
- GitHub forks (AI21Labs/in-context-ralm) · observed Jul 11, 2026
- Last push (AI21Labs/in-context-ralm) · observed Dec 20, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WooooDyy/LLM-Agent-Paper-List) · observed Jul 11, 2026
- GitHub forks (WooooDyy/LLM-Agent-Paper-List) · observed Jul 11, 2026
- Last push (WooooDyy/LLM-Agent-Paper-List) · observed Sep 12, 2025
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: in-context-ralm 295 · LLM-Agent-Paper-List 8.2k (synced Jul 11, 2026).
Common questions
- What is the difference between in-context-ralm and LLM-Agent-Paper-List?
- in-context-ralm: In-Context Retrieval-Augmented Language Models. LLM-Agent-Paper-List: The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.. See the comparison table for live GitHub stats and shared categories.
- When should I choose in-context-ralm over LLM-Agent-Paper-List?
- Choose in-context-ralm over LLM-Agent-Paper-List when Tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments; Also covers Evaluation & Observability; Leaner open-issue backlog (4).
- When should I choose LLM-Agent-Paper-List over in-context-ralm?
- Choose LLM-Agent-Paper-List over in-context-ralm when Tags unique to LLM-Agent-Paper-List: agent, large-language-models, llm, nlp; Also covers AI Agents, LLM Frameworks; Ideal for researchers and developers deeply interested in the theory and applications of LLM-based agents.
- When should I avoid in-context-ralm?
- in-context-ralm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid LLM-Agent-Paper-List?
- Not suitable if your focus is on traditional machine learning models without a language model foundation. May not be as helpful if you are looking for resources outside the scope of large language model-based agents, such as purely statistical modeling techniques.
- Is in-context-ralm or LLM-Agent-Paper-List more popular on GitHub?
- LLM-Agent-Paper-List has more GitHub stars (8,159 vs 295). Stars measure visibility, not whether either tool fits your constraints.
- Are in-context-ralm and LLM-Agent-Paper-List open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to in-context-ralm or LLM-Agent-Paper-List?
- GraphCanon lists graph-backed alternatives at in-context-ralm alternatives and LLM-Agent-Paper-List alternatives (in-context-ralm 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, in-context-ralm or LLM-Agent-Paper-List?
- in-context-ralm: Archived. LLM-Agent-Paper-List: Slowing. 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 in-context-ralm and LLM-Agent-Paper-List?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: in-context-ralm trust report; LLM-Agent-Paper-List trust report.