Comparison
ART vs Agent-Reach
Verdict
Pick ART if aRT is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS; 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 · ART alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | ART | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 19, 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 19, 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
- ART
- Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- ART
- 11k
- Agent-Reach
- 84k
Forks
- ART
- 974
- Agent-Reach
- 7.3k
Open issues
- ART
- 127
- Agent-Reach
- 153
Language
- ART
- Python
- Agent-Reach
- Python
Adopt for
- ART
- ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS.
- 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
- ART
- -
- Agent-Reach
- -
Runtime
- ART
- -
- Agent-Reach
- -
License
- ART
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- ART
- Aug 19, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- ART
- AI Agents, Model Training
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Days since push
- ART
- 0d
- Agent-Reach
- 4d
Open issues (now)
- ART
- 127
- Agent-Reach
- 153
Stars delta
- ART
- +109 (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- ART
- +6 (30d)
- Agent-Reach
- -15 (30d)
Owner type
- ART
- Organization
- Agent-Reach
- User
Full report
- ART
- Trust report
- Agent-Reach
- Trust report
Shared compatibility
- Python · ART: Python runtime · Agent-Reach: Python runtime
Choose ART if…
- License: ART is Apache-2.0, Agent-Reach is MIT.
- Tags unique to ART: agent, agentic-ai, grpo, llms.
- Also covers Model Training.
- - When you need a framework that specifically supports the GRPO method for agent reinforcement learning.
When NOT to use ART
- - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning.
- - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp
Choose Agent-Reach if…
- License: Agent-Reach is MIT, ART 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 (OpenPipe/ART) · observed Sep 20, 2026
- GitHub forks (OpenPipe/ART) · observed Sep 20, 2026
- Last push (OpenPipe/ART) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Sep 20, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Sep 20, 2026
- Last push (Panniantong/Agent-Reach) · observed Sep 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ART 11k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between ART and Agent-Reach?
- ART: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.. 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 ART over Agent-Reach?
- Choose ART over Agent-Reach when License: ART is Apache-2.0, Agent-Reach is MIT; Tags unique to ART: agent, agentic-ai, grpo, llms; Also covers Model Training; - When you need a framework that specifically supports the GRPO method for agent reinforcement learning.
- When should I choose Agent-Reach over ART?
- Choose Agent-Reach over ART when License: Agent-Reach is MIT, ART 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 ART?
- - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning. - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp
- 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 ART or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 10,603). Stars measure visibility, not whether either tool fits your constraints.
- Are ART and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (ART: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to ART or Agent-Reach?
- GraphCanon lists graph-backed alternatives at ART alternatives and Agent-Reach alternatives (ART 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, ART or Agent-Reach?
- ART: 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 ART and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ART trust report; Agent-Reach trust report.