---
title: "Archon vs awesome"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/coleam00-archon-vs-sindresorhus-awesome"
tools: ["coleam00-archon", "sindresorhus-awesome"]
---

# Archon vs awesome

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick Archon when license: Archon is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, Archon is MIT.

[Archon](https://archon.diy) reports 23k GitHub stars, 3.4k forks, and 290 open issues, last pushed Jul 15, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [Archon's repository](https://github.com/coleam00/Archon) and [awesome's repository](https://github.com/sindresorhus/awesome).

| | [Archon](/tools/coleam00-archon.md) | [awesome](/tools/sindresorhus-awesome.md) |
| --- | --- | --- |
| Tagline | The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable. | 😎 Awesome lists about all kinds of interesting topics |
| Stars | 22,895 | 484,026 |
| Forks | 3,431 | 35,799 |
| Open issues | 290 | 92 |
| Language | TypeScript | - |
| Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | CC0-1.0 |
| Categories | Developer Tools | Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Archon](/tools/coleam00-archon.md) | [awesome](/tools/sindresorhus-awesome.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 11d |
| Open issues (now) | 290 | 92 |
| Full report | [trust report](/tools/coleam00-archon/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) |

## Decision facts: awesome

- **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.

## Choose when

### Choose Archon if…

- License: Archon is MIT, awesome is CC0-1.0.
- Tags unique to Archon: ai, automation, bun, claude.
- More recently updated (last pushed Jul 15, 2026).

### Choose awesome if…

- License: awesome is CC0-1.0, Archon 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 Archon

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## 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

## Common questions

### What is the difference between Archon and awesome?

Archon: The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.

### When should I choose Archon over awesome?

Choose Archon over awesome when License: Archon is MIT, awesome is CC0-1.0; Tags unique to Archon: ai, automation, bun, claude; More recently updated (last pushed Jul 15, 2026).

### When should I choose awesome over Archon?

Choose awesome over Archon when License: awesome is CC0-1.0, Archon 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 avoid Archon?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### 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

### Is Archon or awesome more popular on GitHub?

awesome has more GitHub stars (484,026 vs 22,895). Stars measure visibility, not whether either tool fits your constraints.

### Are Archon and awesome open source?

Yes - both are open-source projects on GitHub (Archon: MIT, awesome: CC0-1.0).

### Where can I find alternatives to Archon or awesome?

GraphCanon lists graph-backed alternatives at [Archon alternatives](/tools/coleam00-archon/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([Archon markdown twin](/tools/coleam00-archon/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/alternatives.md)), 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](/compare/coleam00-archon-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Archon or awesome?

Archon: Very active. awesome: 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 Archon and awesome?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Archon trust report](/tools/coleam00-archon/trust); [awesome trust report](/tools/sindresorhus-awesome/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=coleam00-archon`](/api/graphcanon/graph?tool=coleam00-archon)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
