Comparison
caveman vs Agent-Reach
Verdict
Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; 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 · caveman alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | caveman | 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 · Personal 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 published findings from this source as of 2026-09-18 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
- caveman
- Reduces token usage by 65% through minimalistic language for coding agents
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- caveman
- 106k
- Agent-Reach
- 84k
Forks
- caveman
- 6.2k
- Agent-Reach
- 7.3k
Open issues
- caveman
- 127
- Agent-Reach
- 153
Language
- caveman
- Go
- Agent-Reach
- Python
Adopt for
- caveman
- Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
- 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
- caveman
- -
- Agent-Reach
- -
Runtime
- caveman
- -
- Agent-Reach
- -
License
- caveman
- Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
- Agent-Reach
- MIT
Last pushed
- caveman
- Sep 18, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- caveman
- AI Agents, Model Training
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Days since push
- caveman
- 0d
- Agent-Reach
- 4d
Open issues (now)
- caveman
- 127
- Agent-Reach
- 153
Stars delta
- caveman
- +8.0k (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- caveman
- -358 (30d)
- Agent-Reach
- -15 (30d)
OSV dependency advisories
- caveman
- No published findings from this source as of 2026-09-18
- Agent-Reach
- No lockfile (source not queried)
Full report
- caveman
- Trust report
- Agent-Reach
- Trust report
Choose caveman if…
- caveman is primarily Go; Agent-Reach is Python.
- License: caveman is Other, Agent-Reach is MIT.
- Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
- Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
- Tags unique to caveman: ai, anthropic, caveman, claude.
- Also covers Model Training.
- caveman ships Docker support for self-hosted deployment.
- When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When NOT to use caveman
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
- When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; caveman is Go.
- License: Agent-Reach is MIT, caveman is Other.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers Data & Retrieval.
- 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 (JuliusBrussee/caveman) · observed Sep 20, 2026
- GitHub forks (JuliusBrussee/caveman) · observed Sep 20, 2026
- Last push (JuliusBrussee/caveman) · observed Sep 18, 2026
- License file (Other) · 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: caveman 106k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between caveman and Agent-Reach?
- caveman: Reduces token usage by 65% through minimalistic language for coding agents. 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 caveman over Agent-Reach?
- Choose caveman over Agent-Reach when caveman is primarily Go; Agent-Reach is Python; License: caveman is Other, Agent-Reach is MIT; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: ai, anthropic, caveman, claude; Also covers Model Training; caveman ships Docker support for self-hosted deployment; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
- When should I choose Agent-Reach over caveman?
- Choose Agent-Reach over caveman when Agent-Reach is primarily Python; caveman is Go; License: Agent-Reach is MIT, caveman is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid caveman?
- If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
- 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 caveman or Agent-Reach more popular on GitHub?
- caveman has more GitHub stars (106,401 vs 83,516). Stars measure visibility, not whether either tool fits your constraints.
- Are caveman and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (caveman: Other, Agent-Reach: MIT).
- Where can I find alternatives to caveman or Agent-Reach?
- GraphCanon lists graph-backed alternatives at caveman alternatives and Agent-Reach alternatives (caveman 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, caveman or Agent-Reach?
- caveman: 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 caveman and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; Agent-Reach trust report.