VoltAgent/awesome-codex-subagents
A collection of 130+ specialized Codex subagents covering a wide range of development use cases.
First read
Promising movement, but the picture is still partial
VoltAgent/awesome-codex-subagents is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.
Visible
3.6K public stars in the current GitStar snapshot.
Needs a narrower context read
Active
Last commit Mar 20, 2026.
Active enough
Adopted
Treat stars as discovery context until a linked package appears.
No linked package mapping
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 3.6K stars
- 414 forks
- Last commit Mar 20, 2026
- Package usage not mapped yet
Compare lens
VoltAgent/awesome-design-md and Lum1104/Understand-Anything are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
+120
Last commit
Mar 20, 2026
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for VoltAgent/awesome-codex-subagents, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
🎓The Professor
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines 120 monthly momentum and fresh update.
120 monthly momentumFresh update
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 3.6K
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
+120
Signal mix (log-scaled for readability)
Current stars3.6K
30d star gain120
🧭 Hype vs Reality
Insufficient Package DataGitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption.
Related alternative
VoltAgent/awesome-design-md
Shares the awesome-lists category footprint with VoltAgent/awesome-codex-subagents, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
Lum1104/Understand-Anything
Overlaps on topics such as codex and codex-skills, which makes it a stronger alternative than a random popularity neighbor.
Related alternative
langchain-ai/langchain
Overlaps on topics such as ai-agents and chatgpt, which makes it a stronger alternative than a random popularity neighbor.
Related alternative
f/prompts.chat
Shares the awesome-lists category footprint with VoltAgent/awesome-codex-subagents, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked awesome-design-md + Understand-Anything as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/VoltAgent/awesome-codex-subagents)HTML
<a href="https://gitstar.space/repo/VoltAgent/awesome-codex-subagents"><img src="https://gitstar.space/api/badge/VoltAgent/awesome-codex-subagents" alt="GitStar"></a>Styles:
Wider nearby ecosystem
HTML
30.8K starsVoltAgent/awesome-design-md
Collection of DESIGN.md files that capture design systems from popular websites. Drop one into your project and let coding agents build matching UI.
TypeScript
8K starsLum1104/Understand-Anything
Claude Code skills that turn any codebase into an interactive knowledge graph you can explore, search, and ask questions about (Multi-platform e.g., Codex are supported).
Python
131.4K starslangchain-ai/langchain
The agent engineering platform
HTML
154.5K starsf/prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
TypeScript
5.3K starsJackChen-me/open-multi-agent
TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.
Python
5.8K starswanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of VoltAgent/awesome-codex-subagents based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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