Comparison
caveman vs mcpproxy-go
Verdict
Pick caveman when caveman is primarily JavaScript; mcpproxy-go is Go; pick mcpproxy-go when mcpproxy-go is primarily Go; caveman is JavaScript.
Markdown twin · caveman alternatives · mcpproxy-go alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | caveman | mcpproxy-go |
|---|---|---|
| Maintenance | Active (7d 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 · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- caveman
- Reduce token usage with concise 'caveman'-style prompts.
- mcpproxy-go
- Supercharge AI Agents, Safely
Stars
- caveman
- 88k
- mcpproxy-go
- 285
Forks
- caveman
- 5.1k
- mcpproxy-go
- 36
Open issues
- caveman
- 392
- mcpproxy-go
- 14
Language
- caveman
- JavaScript
- mcpproxy-go
- Go
Adopt for
- caveman
- The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺
- mcpproxy-go
- -
Persona
- caveman
- -
- mcpproxy-go
- -
Runtime
- caveman
- -
- mcpproxy-go
- -
License
- caveman
- MIT
- mcpproxy-go
- MIT
Last pushed
- caveman
- Jul 3, 2026
- mcpproxy-go
- Jul 11, 2026
Categories
- caveman
- Developer Tools, LLM Frameworks
- mcpproxy-go
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- caveman
- Active (82%)
- mcpproxy-go
- Very active (96%)
Days since push
- caveman
- 7d
- mcpproxy-go
- 0d
Open issues (now)
- caveman
- 392
- mcpproxy-go
- 14
Owner type
- caveman
- User
- mcpproxy-go
- Organization
Security scan
- caveman
- No lockfile
- mcpproxy-go
- No criticals
Full report
- caveman
- Trust report
- mcpproxy-go
- Trust report
Choose caveman if…
- caveman is primarily JavaScript; mcpproxy-go is Go.
- Tags unique to caveman: anthropic, caveman, claude-code, prompt-engineering.
- When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.
When NOT to use caveman
- When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences.
- For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.
Choose mcpproxy-go if…
- mcpproxy-go is primarily Go; caveman is JavaScript.
- Tags unique to mcpproxy-go: ai-agents, audit-logging, bm25, cli.
- Also covers AI Agents.
- mcpproxy-go ships Docker support for self-hosted deployment.
When NOT to use mcpproxy-go
- 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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 Jul 11, 2026
- GitHub forks (JuliusBrussee/caveman) · observed Jul 11, 2026
- Last push (JuliusBrussee/caveman) · observed Jul 3, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- GitHub forks (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- Last push (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caveman 88k · mcpproxy-go 285 (synced Jul 11, 2026).
Common questions
- What is the difference between caveman and mcpproxy-go?
- caveman: Reduce token usage with concise 'caveman'-style prompts.. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.
- When should I choose caveman over mcpproxy-go?
- Choose caveman over mcpproxy-go when caveman is primarily JavaScript; mcpproxy-go is Go; Tags unique to caveman: anthropic, caveman, claude-code, prompt-engineering; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.
- When should I choose mcpproxy-go over caveman?
- Choose mcpproxy-go over caveman when mcpproxy-go is primarily Go; caveman is JavaScript; Tags unique to mcpproxy-go: ai-agents, audit-logging, bm25, cli; Also covers AI Agents; mcpproxy-go ships Docker support for self-hosted deployment.
- When should I avoid caveman?
- When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.
- When should I avoid mcpproxy-go?
- 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is caveman or mcpproxy-go more popular on GitHub?
- caveman has more GitHub stars (87,950 vs 285). Stars measure visibility, not whether either tool fits your constraints.
- Are caveman and mcpproxy-go open source?
- Yes - both are open-source projects on GitHub (caveman: MIT, mcpproxy-go: MIT).
- Where can I find alternatives to caveman or mcpproxy-go?
- GraphCanon lists graph-backed alternatives at caveman alternatives and mcpproxy-go alternatives (caveman markdown twin, mcpproxy-go 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 mcpproxy-go?
- caveman: Active. mcpproxy-go: 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 mcpproxy-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; mcpproxy-go trust report.