---
title: "gpt-researcher vs Agent-Reach"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/assafelovic-gpt-researcher-vs-panniantong-agent-reach"
tools: ["assafelovic-gpt-researcher", "panniantong-agent-reach"]
---

# gpt-researcher vs Agent-Reach

*GraphCanon updated Aug 25, 2026*

## 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.

[gpt-researcher](https://gptr.dev) reports 29k GitHub stars, 3.9k forks, and 192 open issues, last pushed Jul 18, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 75k stars, 6.4k forks, and 100 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [gpt-researcher's repository](https://github.com/assafelovic/gpt-researcher) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach).

| | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Tagline | An autonomous agent that conducts deep research using LLM providers | AI Agent for Automated Web and Social Media Data Extraction |
| Stars | 28,883 | 75,209 |
| Forks | 3,916 | 6,415 |
| Open issues | 192 | 100 |
| Language | Python | Python |
| Adopt for | 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 facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 21d | 0d |
| Open issues (now) | 192 | 100 |
| Stars delta | +737 (30d) | +14k (30d) |
| Open issues delta | -18 (30d) | -68 (30d) |
| Full report | [trust report](/tools/assafelovic-gpt-researcher/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) |

## Shared compatibility

- **Python**: [gpt-researcher](/tools/assafelovic-gpt-researcher.md) - Python runtime; [Agent-Reach](/tools/panniantong-agent-reach.md) - Python runtime

## Decision facts: gpt-researcher

- **Pricing:** freemium - 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
- **Adopt for:** 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.

## Decision facts: Agent-Reach

- **Adopt for:** Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

## Choose when

### 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.

### 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 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 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

## 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 (75,209 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](/tools/assafelovic-gpt-researcher/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([gpt-researcher markdown twin](/tools/assafelovic-gpt-researcher/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md)), 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](/compare/assafelovic-gpt-researcher-vs-panniantong-agent-reach.md) 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](/tools/assafelovic-gpt-researcher/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=assafelovic-gpt-researcher`](/api/graphcanon/graph?tool=assafelovic-gpt-researcher)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
