Comparison
oasis vs awesome-llm-apps
Verdict
Pick oasis if oASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · oasis alternatives · awesome-llm-apps alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | oasis | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (2d since push) As of 4d · github_public_v1 | Very active (4d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- oasis
- OASIS: Open Agent Social Interaction Simulations with One Million Agents
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- oasis
- 5.0k
- awesome-llm-apps
- 131k
Forks
- oasis
- 618
- awesome-llm-apps
- 19k
Open issues
- oasis
- 56
- awesome-llm-apps
- 13
Language
- oasis
- Python
- awesome-llm-apps
- Python
Adopt for
- oasis
- OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- oasis
- -
- awesome-llm-apps
- -
Runtime
- oasis
- -
- awesome-llm-apps
- -
License
- oasis
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- oasis
- Aug 14, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- oasis
- AI Agents, Model Training
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- oasis
- 2d
- awesome-llm-apps
- 4d
Open issues (now)
- oasis
- 56
- awesome-llm-apps
- 13
Stars delta
- oasis
- +93 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- oasis
- -1 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- oasis
- Organization
- awesome-llm-apps
- User
Full report
- oasis
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · oasis: Python runtime · awesome-llm-apps: Python runtime
Choose oasis if…
- Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning.
- Also covers Model Training.
- When modeling complex interactions among millions of agents is necessary
When NOT to use oasis
- If you require customization beyond what LLMs and NLP provide within the framework
- In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (camel-ai/oasis) · observed Aug 17, 2026
- GitHub forks (camel-ai/oasis) · observed Aug 17, 2026
- Last push (camel-ai/oasis) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: oasis 5.0k · awesome-llm-apps 131k (synced Aug 17, 2026).
Common questions
- What is the difference between oasis and awesome-llm-apps?
- oasis: OASIS: Open Agent Social Interaction Simulations with One Million Agents. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose oasis over awesome-llm-apps?
- Choose oasis over awesome-llm-apps when Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning; Also covers Model Training; When modeling complex interactions among millions of agents is necessary.
- When should I choose awesome-llm-apps over oasis?
- Choose awesome-llm-apps over oasis when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid oasis?
- If you require customization beyond what LLMs and NLP provide within the framework In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is oasis or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 5,031). Stars measure visibility, not whether either tool fits your constraints.
- Are oasis and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (oasis: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to oasis or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at oasis alternatives and awesome-llm-apps alternatives (oasis markdown twin, awesome-llm-apps 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, oasis or awesome-llm-apps?
- oasis: Very active. awesome-llm-apps: Very active. 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 oasis and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oasis trust report; awesome-llm-apps trust report.