voltagent
@voltagent • AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
81%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
14 repos
Visible snapshot
8 repositories updated in the last 90 days.
Leading language
Unknown
Portfolio mix
Unknown (10), TypeScript (2), Shell (1)
Average size
14.5K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-04-18(56d ago)GitHub API fallback14 repositories
81%
of the visible star count comes from this organization's top three repositories.
14.5K
stars per repository in this same snapshot.
Unknown
is the most common language here, with 8 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 14 repositories.
Balanced portfolio across 14 reposTop 3 share 81%
Organization pages work best when you separate portfolio breadth from flagship concentration. In voltagent's case, the visible top three repositories account for about 81% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Unknown (10), TypeScript (2), Shell (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars | 🍴 Forks | Updated |
|---|---|---|---|---|---|
| 1 | voltagent/awesome-design-md A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI. | 90K | 10.7K | 5 days ago | |
| 2 | voltagent/awesome-openclaw-skills The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞 | 50.2K | 4.9K | 5 days ago | |
| 3 | voltagent/awesome-agent-skills A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more. | 25.2K | 2.7K | Yesterday | |
| 4 | voltagent/awesome-claude-code-subagents A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases | Shell | 21.7K | 2.5K | 2 weeks ago |
| 5 | voltagent/voltagent AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework | TypeScript | 9.6K | 991 | 5 days ago |
| 6 | voltagent/awesome-codex-subagents A collection of 130+ specialized Codex subagents covering a wide range of development use cases. | 5.2K | 581 | 2 weeks ago | |
| 7 | voltagent/awesome-ai-agent-papers A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems. | 1.4K | 158 | 2 weeks ago | |
| 8 | voltagent/awesome-voltagent Carefully curated list of awesome VoltAgent resources ⚡️ | 134 | 16 | 10 months ago | |
| 9 | voltagent/awesome-nemoclaw The awesome collection of Nvidia NemoClaw presets, recipes, and playbooks for sandboxed OpenClaw operations. | 86 | 20 | 2 months ago | |
| 10 | voltagent/ai-agent-platform AI agent platform for building multi-agent systems with orchestration, memory, RAG, workflows, and enterprise observability. | 41 | 5 | 7 months ago | |
| 11 | voltagent/voltagent-python | Python | 28 | 3 | 1 years ago |
| 12 | voltagent/ai-agent-examples AI Agent examples with TypeScript | 17 | 5 | 7 months ago | |
| 13 | voltagent/skills | 14 | 7 | 4 months ago | |
| 14 | voltagent/vercel-ai-sdk-observability | TypeScript | 12 | 2 | 1 years ago |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.