Comparison
awesome-prompts vs agents
Verdict
Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.
Markdown twin · awesome-prompts alternatives · agents alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-prompts | agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Very active (1d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-prompts
- Curated chatgpt prompts and advanced prompt engineering papers
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- awesome-prompts
- 8.4k
- agents
- 39k
Forks
- awesome-prompts
- 798
- agents
- 4.1k
Open issues
- awesome-prompts
- 35
- agents
- 5
Language
- awesome-prompts
- -
- agents
- Python
Adopt for
- awesome-prompts
- awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- awesome-prompts
- -
- agents
- -
Runtime
- awesome-prompts
- -
- agents
- -
License
- awesome-prompts
- GPL-3.0
- agents
- MIT
Last pushed
- awesome-prompts
- Jul 11, 2026
- agents
- Aug 18, 2026
Categories
- awesome-prompts
- Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Days since push
- awesome-prompts
- 0d
- agents
- 1d
Open issues (now)
- awesome-prompts
- 35
- agents
- 5
Stars delta
- awesome-prompts
- Unknown
- agents
- +860 (30d)
Open issues delta
- awesome-prompts
- Unknown
- agents
- +2 (30d)
Full report
- awesome-prompts
- Trust report
- agents
- Trust report
Choose awesome-prompts if…
- License: awesome-prompts is GPL-3.0, agents is MIT.
- Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect.
- Need detailed prompt engineering resources
When NOT to use awesome-prompts
- Seeking a platform for generating new prompts rather than reviewing existing ones
- In search of direct support tools or services, not just informational content
- Requiring real-time collaboration on prompt creation and experimentation
Choose agents if…
- License: agents is MIT, awesome-prompts is GPL-3.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, workflows.
- Also covers AI Agents.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
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 28, 2026
- GitHub forks (ai-boost/awesome-prompts) · observed Jul 28, 2026
- Last push (ai-boost/awesome-prompts) · observed Jul 11, 2026
- License file (GPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-prompts 8.4k · agents 39k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-prompts and agents?
- awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-prompts over agents?
- Choose awesome-prompts over agents when License: awesome-prompts is GPL-3.0, agents is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect; Need detailed prompt engineering resources.
- When should I choose agents over awesome-prompts?
- Choose agents over awesome-prompts when License: agents is MIT, awesome-prompts is GPL-3.0; Tags unique to agents: agent-skills, agentic-ai, automation, workflows; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- When should I avoid awesome-prompts?
- Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation
- When should I avoid agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is awesome-prompts or agents more popular on GitHub?
- agents has more GitHub stars (38,928 vs 8,440). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-prompts and agents open source?
- Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, agents: MIT).
- Where can I find alternatives to awesome-prompts or agents?
- GraphCanon lists graph-backed alternatives at awesome-prompts alternatives and agents alternatives (awesome-prompts markdown twin, agents 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 agents?
- awesome-prompts: Very active. agents: 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 agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-prompts trust report; agents trust report.