Comparison
quant-mind vs Agent-Reach
Verdict
Pick quant-mind if quantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance, leveraging advanced techniques to assist in the analysis of financial data; 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 · quant-mind alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | quant-mind | Agent-Reach |
|---|---|---|
| Maintenance | Steady (32d since push) As of Sep 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 Sep 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 15, 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
- quant-mind
- Intelligent knowledge extraction and retrieval framework for quantitative finance
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- quant-mind
- 3.0k
- Agent-Reach
- 84k
Forks
- quant-mind
- 481
- Agent-Reach
- 7.3k
Open issues
- quant-mind
- 32
- Agent-Reach
- 153
Language
- quant-mind
- Python
- Agent-Reach
- Python
Adopt for
- quant-mind
- QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance, leveraging advanced techniques to assist in the analysis of financial data.
- 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
- quant-mind
- -
- Agent-Reach
- -
Runtime
- quant-mind
- -
- Agent-Reach
- -
License
- quant-mind
- MIT
- Agent-Reach
- MIT
Last pushed
- quant-mind
- Aug 15, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- quant-mind
- Data & Retrieval
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- quant-mind
- Steady (60%)
- Agent-Reach
- Very active (96%)
Days since push
- quant-mind
- 32d
- Agent-Reach
- 4d
Open issues (now)
- quant-mind
- 32
- Agent-Reach
- 153
Stars delta
- quant-mind
- +578 (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- quant-mind
- +3 (30d)
- Agent-Reach
- -15 (30d)
Owner type
- quant-mind
- Organization
- Agent-Reach
- User
Full report
- quant-mind
- Trust report
- Agent-Reach
- Trust report
Shared compatibility
- Python · quant-mind: Python runtime · Agent-Reach: Python runtime
Choose quant-mind if…
- Tags unique to quant-mind: data, knowledge, llm, pipeline.
- Use QuantMind when you need specialized tools for quantitative finance that can handle complex knowledge extraction and retrieval processes efficiently.
- Leaner open-issue backlog (32).
When NOT to use quant-mind
- Avoid using QuantMind if your project does not involve quantitative finance, as its specific functionalities may offer limited value in non-finance areas.
- Do not use this framework if you do not require advanced knowledge extraction and retrieval mechanisms or prefer simpler tools without integration with the uv package manager.
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents.
- 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 (LLMQuant/quant-mind) · observed Sep 20, 2026
- GitHub forks (LLMQuant/quant-mind) · observed Sep 20, 2026
- Last push (LLMQuant/quant-mind) · observed Aug 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: quant-mind 3.0k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between quant-mind and Agent-Reach?
- quant-mind: Intelligent knowledge extraction and retrieval framework for quantitative finance. 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 quant-mind over Agent-Reach?
- Choose quant-mind over Agent-Reach when Tags unique to quant-mind: data, knowledge, llm, pipeline; Use QuantMind when you need specialized tools for quantitative finance that can handle complex knowledge extraction and retrieval processes efficiently; Leaner open-issue backlog (32).
- When should I choose Agent-Reach over quant-mind?
- Choose Agent-Reach over quant-mind when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid quant-mind?
- Avoid using QuantMind if your project does not involve quantitative finance, as its specific functionalities may offer limited value in non-finance areas. Do not use this framework if you do not require advanced knowledge extraction and retrieval mechanisms or prefer simpler tools without integration with the uv package manager.
- 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 quant-mind or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 2,964). Stars measure visibility, not whether either tool fits your constraints.
- Are quant-mind and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (quant-mind: MIT, Agent-Reach: MIT).
- Where can I find alternatives to quant-mind or Agent-Reach?
- GraphCanon lists graph-backed alternatives at quant-mind alternatives and Agent-Reach alternatives (quant-mind 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, quant-mind or Agent-Reach?
- quant-mind: Steady. 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 quant-mind and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: quant-mind trust report; Agent-Reach trust report.