Comparison
wonderful-prompts vs Agent-Reach
Verdict
Pick wonderful-prompts when tags unique to wonderful-prompts: gpt4, gpt35, chatgpt, openai; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
Markdown twin · wonderful-prompts alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | wonderful-prompts | Agent-Reach |
|---|---|---|
| Maintenance | Slowing (262d 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
- wonderful-prompts
- 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀
- 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
- wonderful-prompts
- 6.2k
- Agent-Reach
- 55k
Forks
- wonderful-prompts
- 530
- Agent-Reach
- 4.5k
Open issues
- wonderful-prompts
- 1
- Agent-Reach
- 144
Language
- wonderful-prompts
- -
- Agent-Reach
- Python
Adopt for
- wonderful-prompts
- -
- Agent-Reach
- -
Persona
- wonderful-prompts
- -
- Agent-Reach
- -
Runtime
- wonderful-prompts
- -
- Agent-Reach
- -
License
- wonderful-prompts
- MIT
- Agent-Reach
- MIT
Last pushed
- wonderful-prompts
- Oct 22, 2025
- Agent-Reach
- Jul 10, 2026
Categories
- wonderful-prompts
- LLM Frameworks
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- wonderful-prompts
- Slowing (36%)
- Agent-Reach
- Very active (96%)
Days since push
- wonderful-prompts
- 262d
- Agent-Reach
- 0d
Open issues (now)
- wonderful-prompts
- 1
- Agent-Reach
- 144
Owner type
- wonderful-prompts
- Organization
- Agent-Reach
- User
Security scan
- wonderful-prompts
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- wonderful-prompts
- Trust report
- Agent-Reach
- Trust report
Choose wonderful-prompts if…
- Tags unique to wonderful-prompts: gpt4, gpt35, chatgpt, openai.
- Leaner open-issue backlog (1).
When NOT to use wonderful-prompts
- Last GitHub push was 262 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts.
- 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-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 6.2k) - visibility, not fit.
When NOT to use Agent-Reach
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgptai/wonderful-prompts) · observed Jul 11, 2026
- GitHub forks (langgptai/wonderful-prompts) · observed Jul 11, 2026
- Last push (langgptai/wonderful-prompts) · observed Oct 22, 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: wonderful-prompts 6.2k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between wonderful-prompts and Agent-Reach?
- wonderful-prompts: 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀. 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 wonderful-prompts over Agent-Reach?
- Choose wonderful-prompts over Agent-Reach when Tags unique to wonderful-prompts: gpt4, gpt35, chatgpt, openai; Leaner open-issue backlog (1).
- When should I choose Agent-Reach over wonderful-prompts?
- Choose Agent-Reach over wonderful-prompts when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 6.2k) - visibility, not fit.
- When should I avoid wonderful-prompts?
- Last GitHub push was 262 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts. 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?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is wonderful-prompts or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 6,157). Stars measure visibility, not whether either tool fits your constraints.
- Are wonderful-prompts and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (wonderful-prompts: MIT, Agent-Reach: MIT).
- Where can I find alternatives to wonderful-prompts or Agent-Reach?
- GraphCanon lists graph-backed alternatives at wonderful-prompts alternatives and Agent-Reach alternatives (wonderful-prompts 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, wonderful-prompts or Agent-Reach?
- wonderful-prompts: Slowing. 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 wonderful-prompts and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wonderful-prompts trust report; Agent-Reach trust report.