Comparison
llm-attacks vs Agent-Reach
Verdict
Pick llm-attacks when tags unique to llm-attacks: python; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
Markdown twin · llm-attacks alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llm-attacks | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (708d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 58 low (58 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- llm-attacks
- Universal and Transferable Attacks on Aligned Language Models
- 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
- llm-attacks
- 4.7k
- Agent-Reach
- 55k
Forks
- llm-attacks
- 631
- Agent-Reach
- 4.5k
Open issues
- llm-attacks
- 70
- Agent-Reach
- 144
Language
- llm-attacks
- Python
- Agent-Reach
- Python
Adopt for
- llm-attacks
- -
- Agent-Reach
- -
Persona
- llm-attacks
- -
- Agent-Reach
- -
Runtime
- llm-attacks
- -
- Agent-Reach
- -
License
- llm-attacks
- MIT
- Agent-Reach
- MIT
Last pushed
- llm-attacks
- Aug 2, 2024
- Agent-Reach
- Jul 10, 2026
Categories
- llm-attacks
- LLM Frameworks
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- llm-attacks
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- llm-attacks
- 708d
- Agent-Reach
- 0d
Open issues (now)
- llm-attacks
- 70
- Agent-Reach
- 144
Owner type
- llm-attacks
- Organization
- Agent-Reach
- User
Security scan
- llm-attacks
- 58 low (58 low)
- Agent-Reach
- No MCP manifest
Full report
- llm-attacks
- Trust report
- Agent-Reach
- Trust report
Choose llm-attacks if…
- Tags unique to llm-attacks: python.
- Leaner open-issue backlog (70).
When NOT to use llm-attacks
- Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 4.7k) - visibility, not fit.
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 (llm-attacks/llm-attacks) · observed Jul 11, 2026
- GitHub forks (llm-attacks/llm-attacks) · observed Jul 11, 2026
- Last push (llm-attacks/llm-attacks) · observed Aug 2, 2024
- 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: llm-attacks 4.7k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between llm-attacks and Agent-Reach?
- llm-attacks: Universal and Transferable Attacks on Aligned Language Models. 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 llm-attacks over Agent-Reach?
- Choose llm-attacks over Agent-Reach when Tags unique to llm-attacks: python; Leaner open-issue backlog (70).
- When should I choose Agent-Reach over llm-attacks?
- Choose Agent-Reach over llm-attacks when Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 4.7k) - visibility, not fit.
- When should I avoid llm-attacks?
- Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 llm-attacks or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 4,735). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-attacks and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (llm-attacks: MIT, Agent-Reach: MIT).
- Where can I find alternatives to llm-attacks or Agent-Reach?
- GraphCanon lists graph-backed alternatives at llm-attacks alternatives and Agent-Reach alternatives (llm-attacks 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, llm-attacks or Agent-Reach?
- llm-attacks: 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 llm-attacks and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-attacks trust report; Agent-Reach trust report.