Home/Compare/oasis vs Agent-Reach

Comparison

oasis vs Agent-Reach

Verdict

Pick oasis if oASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP; pick Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

Markdown twin · oasis alternatives · Agent-Reach alternatives

GraphCanon updated Sep 20, 2026

9views this month

oasis logo

oasis

camel-ai/oasis

★ 5.0kpushed Aug 14, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 84kpushed Sep 15, 2026

Trust & integrity

SignaloasisAgent-Reach
Maintenance
Very active (2d since push)
As of Aug 17, 2026 · github_public_v1
Very active (4d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 17, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 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 Jul 11, 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
Agent-Reach
AI Agent for Automated Web and Social Media Data Extraction

Stars

oasis
5.0k
Agent-Reach
84k

Forks

oasis
618
Agent-Reach
7.3k

Open issues

oasis
56
Agent-Reach
153

Language

oasis
Python
Agent-Reach
Python

Adopt for

oasis
OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP.
Agent-Reach
Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

Persona

oasis
-
Agent-Reach
-

Runtime

oasis
-
Agent-Reach
-

License

oasis
Apache-2.0
Agent-Reach
MIT

Last pushed

oasis
Aug 14, 2026
Agent-Reach
Sep 15, 2026

Categories

oasis
AI Agents, Model Training
Agent-Reach
AI Agents, Data & Retrieval

Trust and health

Days since push

oasis
2d
Agent-Reach
4d

Open issues (now)

oasis
56
Agent-Reach
153

Stars delta

oasis
+93 (30d)
Agent-Reach
+23k (30d)

Open issues delta

oasis
-1 (30d)
Agent-Reach
-15 (30d)

Owner type

oasis
Organization
Agent-Reach
User

Full report

Agent-Reach
Trust report

Shared compatibility

  • Python · oasis: Python runtime · Agent-Reach: Python runtime

Choose oasis if…

  • License: oasis is Apache-2.0, Agent-Reach is MIT.
  • 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 Agent-Reach if…

  • License: Agent-Reach is MIT, oasis is Apache-2.0.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
  • Also covers Data & Retrieval.
  • When needing to bypass costly API fees for extensive social media platform data extraction

When NOT to use Agent-Reach

  • If strict compliance with website scraping policies is critical due to its use of scraping techniques
  • When direct interaction through APIs for precision and reliability is preferred over scraping

Explore

Sources

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

GitHub stars on cards: oasis 5.0k · Agent-Reach 84k (synced Sep 20, 2026).

Common questions

What is the difference between oasis and Agent-Reach?
oasis: OASIS: Open Agent Social Interaction Simulations with One Million Agents. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories.
When should I choose oasis over Agent-Reach?
Choose oasis over Agent-Reach when License: oasis is Apache-2.0, Agent-Reach is MIT; 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 Agent-Reach over oasis?
Choose Agent-Reach over oasis when License: Agent-Reach is MIT, oasis is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction.
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 Agent-Reach?
If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping
Is oasis or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (83,516 vs 5,031). Stars measure visibility, not whether either tool fits your constraints.
Are oasis and Agent-Reach open source?
Yes - both are open-source projects on GitHub (oasis: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to oasis or Agent-Reach?
GraphCanon lists graph-backed alternatives at oasis alternatives and Agent-Reach alternatives (oasis markdown twin, Agent-Reach 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 Agent-Reach?
oasis: Very active. Agent-Reach: 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 Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oasis trust report; Agent-Reach trust report.

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