Comparison
oasis vs hello-agents
Verdict
Pick oasis if oASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP; pick hello-agents if hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.
Markdown twin · oasis alternatives · hello-agents alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | oasis | hello-agents |
|---|---|---|
| Maintenance | Very active (2d since push) As of Aug 17, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 17, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- oasis
- OASIS: Open Agent Social Interaction Simulations with One Million Agents
- hello-agents
- A comprehensive guide to building intelligent agents from scratch
Stars
- oasis
- 5.0k
- hello-agents
- 80k
Forks
- oasis
- 618
- hello-agents
- 9.9k
Open issues
- oasis
- 56
- hello-agents
- 82
Language
- oasis
- Python
- hello-agents
- Python
Adopt for
- oasis
- OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP.
- hello-agents
- Hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.
Persona
- oasis
- -
- hello-agents
- -
Runtime
- oasis
- -
- hello-agents
- -
License
- oasis
- Apache-2.0
- hello-agents
- The license is not specified as open source, but the content is free to read and learn from.
Last pushed
- oasis
- Aug 14, 2026
- hello-agents
- Sep 17, 2026
Categories
- oasis
- AI Agents, Model Training
- hello-agents
- AI Agents, Model Training
Trust and health
Days since push
- oasis
- 2d
- hello-agents
- 0d
Open issues (now)
- oasis
- 56
- hello-agents
- 82
Stars delta
- oasis
- +93 (30d)
- hello-agents
- +6.6k (30d)
Open issues delta
- oasis
- -1 (30d)
- hello-agents
- -73 (30d)
Full report
- oasis
- Trust report
- hello-agents
- Trust report
Choose oasis if…
- License: oasis is Apache-2.0, hello-agents is Other.
- Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning.
- 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 hello-agents if…
- License: hello-agents is Other, oasis is Apache-2.0.
- Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository..
- Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework..
- Tags unique to hello-agents: agent, llm, rag, tutorial.
- When you want to focus on building AI-native agents and understand their core principles and practical implementation.
When NOT to use hello-agents
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development.
- If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
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 Sep 20, 2026
- GitHub forks (camel-ai/oasis) · observed Sep 20, 2026
- Last push (camel-ai/oasis) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (datawhalechina/hello-agents) · observed Sep 20, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Sep 20, 2026
- Last push (datawhalechina/hello-agents) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: oasis 5.0k · hello-agents 80k (synced Sep 20, 2026).
Common questions
- What is the difference between oasis and hello-agents?
- oasis: OASIS: Open Agent Social Interaction Simulations with One Million Agents. hello-agents: A comprehensive guide to building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose oasis over hello-agents?
- Choose oasis over hello-agents when License: oasis is Apache-2.0, hello-agents is Other; Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning; When modeling complex interactions among millions of agents is necessary.
- When should I choose hello-agents over oasis?
- Choose hello-agents over oasis when License: hello-agents is Other, oasis is Apache-2.0; Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository.; Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework.; Tags unique to hello-agents: agent, llm, rag, tutorial; When you want to focus on building AI-native agents and understand their core principles and practical implementation.
- 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 hello-agents?
- If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development. If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
- Is oasis or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (79,727 vs 5,031). Stars measure visibility, not whether either tool fits your constraints.
- Are oasis and hello-agents open source?
- Yes - both are open-source projects on GitHub (oasis: Apache-2.0, hello-agents: Other).
- Where can I find alternatives to oasis or hello-agents?
- GraphCanon lists graph-backed alternatives at oasis alternatives and hello-agents alternatives (oasis markdown twin, hello-agents 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 hello-agents?
- oasis: Very active. hello-agents: 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 hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oasis trust report; hello-agents trust report.