Comparison
gpt-researcher vs Agent-Reach
Verdict
Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; 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 · gpt-researcher alternatives · Agent-Reach alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | gpt-researcher | Agent-Reach |
|---|---|---|
| Maintenance | Active (21d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | Published findings 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
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- gpt-researcher
- 29k
- Agent-Reach
- 61k
Forks
- gpt-researcher
- 3.9k
- Agent-Reach
- 4.9k
Open issues
- gpt-researcher
- 192
- Agent-Reach
- 168
Language
- gpt-researcher
- Python
- Agent-Reach
- Python
Adopt for
- gpt-researcher
- gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill.
- 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
- gpt-researcher
- -
- Agent-Reach
- -
Runtime
- gpt-researcher
- -
- Agent-Reach
- -
License
- gpt-researcher
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- gpt-researcher
- Jul 18, 2026
- Agent-Reach
- Jul 25, 2026
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- Agent-Reach
- Very active (96%)
Days since push
- gpt-researcher
- 21d
- Agent-Reach
- 0d
Open issues (now)
- gpt-researcher
- 192
- Agent-Reach
- 168
Stars delta
- gpt-researcher
- +737 (30d)
- Agent-Reach
- Unknown
Open issues delta
- gpt-researcher
- -18 (30d)
- Agent-Reach
- Unknown
OSV dependency advisories
- gpt-researcher
- Published findings
- Agent-Reach
- No lockfile (source not queried)
Full report
- gpt-researcher
- Trust report
- Agent-Reach
- Trust report
Shared compatibility
- Python · gpt-researcher: Python runtime · Agent-Reach: Python runtime
Choose gpt-researcher if…
- License: gpt-researcher is Apache-2.0, Agent-Reach is MIT.
- Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their.
- Tags unique to gpt-researcher: agent, ai, deepresearch, llms.
- gpt-researcher ships Docker support for self-hosted deployment.
- - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
When NOT to use gpt-researcher
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills.
- - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, gpt-researcher is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.
- 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 (assafelovic/gpt-researcher) · observed Aug 8, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Aug 8, 2026
- Last push (assafelovic/gpt-researcher) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 26, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 26, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 25, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt-researcher 29k · Agent-Reach 61k (synced Aug 8, 2026).
Common questions
- What is the difference between gpt-researcher and Agent-Reach?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. 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 gpt-researcher over Agent-Reach?
- Choose gpt-researcher over Agent-Reach when License: gpt-researcher is Apache-2.0, Agent-Reach is MIT; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; Tags unique to gpt-researcher: agent, ai, deepresearch, llms; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose Agent-Reach over gpt-researcher?
- Choose Agent-Reach over gpt-researcher when License: Agent-Reach is MIT, gpt-researcher is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid gpt-researcher?
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
- 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 gpt-researcher or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (60,828 vs 28,883). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to gpt-researcher or Agent-Reach?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and Agent-Reach alternatives (gpt-researcher 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, gpt-researcher or Agent-Reach?
- gpt-researcher: 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 gpt-researcher and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; Agent-Reach trust report.