Comparison
gpt_academic vs Agent-Reach
Verdict
Pick gpt_academic when license: gpt_academic is GPL-3.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, gpt_academic is GPL-3.0.
Markdown twin · gpt_academic alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt_academic | Agent-Reach |
|---|---|---|
| Maintenance | Slowing (166d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
- Agent-Reach
- Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Stars
- gpt_academic
- 71k
- Agent-Reach
- 55k
Forks
- gpt_academic
- 8.3k
- Agent-Reach
- 4.5k
Open issues
- gpt_academic
- 329
- Agent-Reach
- 144
Language
- gpt_academic
- Python
- Agent-Reach
- Python
Adopt for
- gpt_academic
- gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。
- Agent-Reach
- -
Persona
- gpt_academic
- -
- Agent-Reach
- -
Runtime
- gpt_academic
- -
- Agent-Reach
- -
License
- gpt_academic
- 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证
- Agent-Reach
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- gpt_academic
- LLM Frameworks, Developer Tools
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- Agent-Reach
- Very active (96%)
Days since push
- gpt_academic
- 166d
- Agent-Reach
- 0d
Open issues (now)
- gpt_academic
- 329
- Agent-Reach
- 144
Security scan
- gpt_academic
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- gpt_academic
- Trust report
- Agent-Reach
- Trust report
Choose gpt_academic if…
- License: gpt_academic is GPL-3.0, Agent-Reach is MIT.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, gpt-4.
- gpt_academic ships Docker support for self-hosted deployment.
- 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时
When NOT to use gpt_academic
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况
- 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意
- 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现）
- 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
Choose Agent-Reach if…
- License: Agent-Reach is MIT, gpt_academic is GPL-3.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code.
- Also covers AI Agents.
When NOT to use Agent-Reach
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (binary-husky/gpt_academic) · observed Jul 11, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Jul 11, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and Agent-Reach?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over Agent-Reach?
- Choose gpt_academic over Agent-Reach when License: gpt_academic is GPL-3.0, Agent-Reach is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, gpt-4; gpt_academic ships Docker support for self-hosted deployment; 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时.
- When should I choose Agent-Reach over gpt_academic?
- Choose Agent-Reach over gpt_academic when License: Agent-Reach is MIT, gpt_academic is GPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code; Also covers AI Agents.
- When should I avoid gpt_academic?
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
- When should I avoid Agent-Reach?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is gpt_academic or Agent-Reach more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 54,715). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, Agent-Reach: MIT).
- Where can I find alternatives to gpt_academic or Agent-Reach?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and Agent-Reach alternatives (gpt_academic 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_academic or Agent-Reach?
- gpt_academic: Slowing. 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_academic and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; Agent-Reach trust report.