Comparison
do-not-answer vs Agent-Reach
Verdict
Pick do-not-answer when do-not-answer is primarily Jupyter Notebook; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; do-not-answer is Jupyter Notebook.
Markdown twin · do-not-answer alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | do-not-answer | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (764d 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) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- do-not-answer
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
- 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
- do-not-answer
- 334
- Agent-Reach
- 55k
Forks
- do-not-answer
- 29
- Agent-Reach
- 4.5k
Open issues
- do-not-answer
- 0
- Agent-Reach
- 144
Language
- do-not-answer
- Jupyter Notebook
- Agent-Reach
- Python
Adopt for
- do-not-answer
- -
- Agent-Reach
- -
Persona
- do-not-answer
- -
- Agent-Reach
- -
Runtime
- do-not-answer
- -
- Agent-Reach
- -
License
- do-not-answer
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- do-not-answer
- Jun 7, 2024
- Agent-Reach
- Jul 10, 2026
Categories
- do-not-answer
- Evaluation & Observability, LLM Frameworks
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- do-not-answer
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- do-not-answer
- 764d
- Agent-Reach
- 0d
Open issues (now)
- do-not-answer
- 0
- Agent-Reach
- 144
Owner type
- do-not-answer
- Organization
- Agent-Reach
- User
Security scan
- do-not-answer
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- do-not-answer
- Trust report
- Agent-Reach
- Trust report
Choose do-not-answer if…
- do-not-answer is primarily Jupyter Notebook; Agent-Reach is Python.
- License: do-not-answer is Apache-2.0, Agent-Reach is MIT.
- Tags unique to do-not-answer: jupyter notebook.
- Also covers Evaluation & Observability.
When NOT to use do-not-answer
- Last GitHub push was 764 days ago (dormant maintenance, Jun 7, 2024). Validate activity before betting a new project on do-not-answer.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; do-not-answer is Jupyter Notebook.
- License: Agent-Reach is MIT, do-not-answer is Apache-2.0.
- 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 (Libr-AI/do-not-answer) · observed Jul 11, 2026
- GitHub forks (Libr-AI/do-not-answer) · observed Jul 11, 2026
- Last push (Libr-AI/do-not-answer) · observed Jun 7, 2024
- License file (Apache-2.0) · 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: do-not-answer 334 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between do-not-answer and Agent-Reach?
- do-not-answer: Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. 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 do-not-answer over Agent-Reach?
- Choose do-not-answer over Agent-Reach when do-not-answer is primarily Jupyter Notebook; Agent-Reach is Python; License: do-not-answer is Apache-2.0, Agent-Reach is MIT; Tags unique to do-not-answer: jupyter notebook; Also covers Evaluation & Observability.
- When should I choose Agent-Reach over do-not-answer?
- Choose Agent-Reach over do-not-answer when Agent-Reach is primarily Python; do-not-answer is Jupyter Notebook; License: Agent-Reach is MIT, do-not-answer is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I avoid do-not-answer?
- Last GitHub push was 764 days ago (dormant maintenance, Jun 7, 2024). Validate activity before betting a new project on do-not-answer. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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 do-not-answer or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 334). Stars measure visibility, not whether either tool fits your constraints.
- Are do-not-answer and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (do-not-answer: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to do-not-answer or Agent-Reach?
- GraphCanon lists graph-backed alternatives at do-not-answer alternatives and Agent-Reach alternatives (do-not-answer 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, do-not-answer or Agent-Reach?
- do-not-answer: 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 do-not-answer and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: do-not-answer trust report; Agent-Reach trust report.