Comparison
awesome-prompts vs Agent-Reach
Verdict
Pick awesome-prompts when license: awesome-prompts is GPL-3.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, awesome-prompts is GPL-3.0.
Markdown twin · awesome-prompts alternatives · Agent-Reach alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | awesome-prompts | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d 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
- awesome-prompts
- Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
- 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
- awesome-prompts
- 8.4k
- Agent-Reach
- 55k
Forks
- awesome-prompts
- 798
- Agent-Reach
- 4.5k
Open issues
- awesome-prompts
- 35
- Agent-Reach
- 144
Language
- awesome-prompts
- -
- Agent-Reach
- Python
Adopt for
- awesome-prompts
- -
- Agent-Reach
- -
Persona
- awesome-prompts
- -
- Agent-Reach
- -
Runtime
- awesome-prompts
- -
- Agent-Reach
- -
License
- awesome-prompts
- GPL-3.0
- Agent-Reach
- MIT
Last pushed
- awesome-prompts
- Jul 11, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- awesome-prompts
- LLM Frameworks
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Open issues (now)
- awesome-prompts
- 35
- Agent-Reach
- 144
Security scan
- awesome-prompts
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- awesome-prompts
- Trust report
- Agent-Reach
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, Agent-Reach is MIT.
- Tags unique to awesome-prompts: awesome, awesome-list, chatgpt, gpt4.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use awesome-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…
- License: Agent-Reach is MIT, awesome-prompts is GPL-3.0.
- 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 (ai-boost/awesome-prompts) · observed Jul 11, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Jul 11, 2026
- Last push (ai-boost/awesome-prompts) · observed Jul 11, 2026
- License file (GPL-3.0) · 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: awesome-prompts 8.4k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-prompts and Agent-Reach?
- awesome-prompts: Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.. 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 awesome-prompts over Agent-Reach?
- Choose awesome-prompts over Agent-Reach when License: awesome-prompts is GPL-3.0, Agent-Reach is MIT; Tags unique to awesome-prompts: awesome, awesome-list, chatgpt, gpt4; More recently updated (last pushed Jul 11, 2026).
- When should I choose Agent-Reach over awesome-prompts?
- Choose Agent-Reach over awesome-prompts when License: Agent-Reach is MIT, awesome-prompts is GPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I avoid awesome-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?
- 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 awesome-prompts or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 8,440). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, Agent-Reach: MIT).
- Where can I find alternatives to awesome-prompts or Agent-Reach?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and Agent-Reach alternatives (awesome-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, awesome-prompts or Agent-Reach?
- awesome-prompts: Very active. 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 awesome-prompts and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; Agent-Reach trust report.