Comparison
omnigraph vs Agent-Reach
Verdict
Pick omnigraph if omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as; 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 · omnigraph alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | omnigraph | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 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 18, 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 Sep 18, 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
- omnigraph
- Lakehouse native graph engine with git-style workflows
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- omnigraph
- 1.1k
- Agent-Reach
- 84k
Forks
- omnigraph
- 250
- Agent-Reach
- 7.3k
Open issues
- omnigraph
- 56
- Agent-Reach
- 153
Language
- omnigraph
- Rust
- Agent-Reach
- Python
Adopt for
- omnigraph
- Omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as
- 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
- omnigraph
- -
- Agent-Reach
- -
Runtime
- omnigraph
- -
- Agent-Reach
- -
License
- omnigraph
- MIT
- Agent-Reach
- MIT
Last pushed
- omnigraph
- Sep 17, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- omnigraph
- Data & Retrieval
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Days since push
- omnigraph
- 0d
- Agent-Reach
- 4d
Open issues (now)
- omnigraph
- 56
- Agent-Reach
- 153
Stars delta
- omnigraph
- +96 (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- omnigraph
- +39 (30d)
- Agent-Reach
- -15 (30d)
Owner type
- omnigraph
- Organization
- Agent-Reach
- User
Full report
- omnigraph
- Trust report
- Agent-Reach
- Trust report
Choose omnigraph if…
- omnigraph is primarily Rust; Agent-Reach is Python.
- Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database.
- omnigraph ships Docker support for self-hosted deployment.
- When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3.
When NOT to use omnigraph
- If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit.
- If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch.
- For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; omnigraph is Rust.
- 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 (ModernRelay/omnigraph) · observed Sep 20, 2026
- GitHub forks (ModernRelay/omnigraph) · observed Sep 20, 2026
- Last push (ModernRelay/omnigraph) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 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: omnigraph 1.1k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between omnigraph and Agent-Reach?
- omnigraph: Lakehouse native graph engine with git-style workflows. 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 omnigraph over Agent-Reach?
- Choose omnigraph over Agent-Reach when omnigraph is primarily Rust; Agent-Reach is Python; Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database; omnigraph ships Docker support for self-hosted deployment; When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3.
- When should I choose Agent-Reach over omnigraph?
- Choose Agent-Reach over omnigraph when Agent-Reach is primarily Python; omnigraph is Rust; 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 omnigraph?
- If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit. If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch. For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity.
- 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 omnigraph or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 1,136). Stars measure visibility, not whether either tool fits your constraints.
- Are omnigraph and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (omnigraph: MIT, Agent-Reach: MIT).
- Where can I find alternatives to omnigraph or Agent-Reach?
- GraphCanon lists graph-backed alternatives at omnigraph alternatives and Agent-Reach alternatives (omnigraph 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, omnigraph or Agent-Reach?
- omnigraph: 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 omnigraph and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: omnigraph trust report; Agent-Reach trust report.