Comparison
awesome vs agents
Verdict
Pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics; 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 alternatives · agents alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | awesome | agents |
|---|---|---|
| Maintenance | Steady (34d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 1d · 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 | Published findings As of 5d · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome
- 😎 Awesome lists about all kinds of interesting topics
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- awesome
- 492k
- agents
- 39k
Forks
- awesome
- 36k
- agents
- 4.1k
Open issues
- awesome
- 100
- agents
- 5
Language
- awesome
- -
- agents
- Python
Adopt for
- awesome
- A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
- 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
- -
- agents
- -
Runtime
- awesome
- -
- agents
- -
License
- awesome
- CC0-1.0
- agents
- MIT
Last pushed
- awesome
- Jun 30, 2026
- agents
- Aug 18, 2026
Categories
- awesome
- Developer Tools
- agents
- AI Agents, Developer Tools
Trust and health
Maintenance
- awesome
- Steady (60%)
- agents
- Very active (96%)
Days since push
- awesome
- 34d
- agents
- 1d
Open issues (now)
- awesome
- 100
- agents
- 5
Stars delta
- awesome
- Unknown
- agents
- +860 (30d)
Open issues delta
- awesome
- Unknown
- agents
- +2 (30d)
OpenSSF Scorecard
- awesome
- Published findings
- agents
- Not queried
Full report
- awesome
- Trust report
- agents
- Trust report
Choose awesome if…
- License: awesome is CC0-1.0, agents is MIT.
- Tags unique to awesome: awesome, awesome-list, lists, resources.
- When you need well-organized access to diverse technical subjects from IoT to robotics
When NOT to use awesome
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
- In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Choose agents if…
- License: agents is MIT, awesome is CC0-1.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- 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 (sindresorhus/awesome) · observed Aug 4, 2026
- GitHub forks (sindresorhus/awesome) · observed Aug 4, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 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 492k · agents 39k (synced Aug 4, 2026).
Common questions
- What is the difference between awesome and agents?
- awesome: 😎 Awesome lists about all kinds of interesting topics. 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 over agents?
- Choose awesome over agents when License: awesome is CC0-1.0, agents is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics.
- When should I choose agents over awesome?
- Choose agents over awesome when License: agents is MIT, awesome is CC0-1.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; 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?
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
- 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 or agents more popular on GitHub?
- awesome has more GitHub stars (492,352 vs 38,928). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome and agents open source?
- Yes - both are open-source projects on GitHub (awesome: CC0-1.0, agents: MIT).
- Where can I find alternatives to awesome or agents?
- GraphCanon lists graph-backed alternatives at awesome alternatives and agents alternatives (awesome 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 or agents?
- awesome: Steady. 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 and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; agents trust report.