Comparison
AutoAudit vs Agent-Reach
Verdict
Pick AutoAudit when autoAudit is primarily HTML; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; AutoAudit is HTML.
Markdown twin · AutoAudit alternatives · Agent-Reach alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | AutoAudit | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (498d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of 1d · mcp_manifest |
Tagline
- AutoAudit
- AutoAudit—— the LLM for Cyber Security 网络安全大语言模型
- 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
- AutoAudit
- 355
- Agent-Reach
- 55k
Forks
- AutoAudit
- 38
- Agent-Reach
- 4.5k
Open issues
- AutoAudit
- 4
- Agent-Reach
- 144
Language
- AutoAudit
- HTML
- Agent-Reach
- Python
Adopt for
- AutoAudit
- -
- Agent-Reach
- -
Persona
- AutoAudit
- -
- Agent-Reach
- -
Runtime
- AutoAudit
- -
- Agent-Reach
- -
License
- AutoAudit
- MIT
- Agent-Reach
- MIT
Last pushed
- AutoAudit
- Feb 28, 2025
- Agent-Reach
- Jul 10, 2026
Categories
- AutoAudit
- LLM Frameworks, Model Training
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- AutoAudit
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- AutoAudit
- 498d
- Agent-Reach
- 0d
Open issues (now)
- AutoAudit
- 4
- Agent-Reach
- 144
Security scan
- AutoAudit
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- AutoAudit
- Trust report
- Agent-Reach
- Trust report
Choose AutoAudit if…
- AutoAudit is primarily HTML; Agent-Reach is Python.
- Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, html.
- Also covers Model Training.
When NOT to use AutoAudit
- Last GitHub push was 499 days ago (dormant maintenance, Feb 28, 2025). Validate activity before betting a new project on AutoAudit.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; AutoAudit is HTML.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
When NOT to use Agent-Reach
- 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 (ddzipp/AutoAudit) · observed Jul 11, 2026
- GitHub forks (ddzipp/AutoAudit) · observed Jul 11, 2026
- Last push (ddzipp/AutoAudit) · observed Feb 28, 2025
- License file (MIT) · 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: AutoAudit 355 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoAudit and Agent-Reach?
- AutoAudit: AutoAudit—— the LLM for Cyber Security 网络安全大语言模型. 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 AutoAudit over Agent-Reach?
- Choose AutoAudit over Agent-Reach when AutoAudit is primarily HTML; Agent-Reach is Python; Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, html; Also covers Model Training.
- When should I choose Agent-Reach over AutoAudit?
- Choose Agent-Reach over AutoAudit when Agent-Reach is primarily Python; AutoAudit is HTML; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I avoid AutoAudit?
- Last GitHub push was 499 days ago (dormant maintenance, Feb 28, 2025). Validate activity before betting a new project on AutoAudit. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid Agent-Reach?
- 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 AutoAudit or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 355). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAudit and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (AutoAudit: MIT, Agent-Reach: MIT).
- Where can I find alternatives to AutoAudit or Agent-Reach?
- GraphCanon lists graph-backed alternatives at AutoAudit alternatives and Agent-Reach alternatives (AutoAudit 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, AutoAudit or Agent-Reach?
- AutoAudit: Dormant. 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 AutoAudit and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAudit trust report; Agent-Reach trust report.