---
title: "agents vs create-t3-turbo-ai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/wshobson-agents-vs-zckly-create-t3-turbo-ai"
tools: ["wshobson-agents", "zckly-create-t3-turbo-ai"]
---

# agents vs create-t3-turbo-ai

*GraphCanon updated Sep 20, 2026*

## Verdict

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; pick create-t3-turbo-ai if create-t3-turbo-ai is a TypeScript-centric framework for developing AI applications with the T3 stack and tools like OpenAI and Langchain.

[agents](https://sethhobson.com) reports 40k GitHub stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. [create-t3-turbo-ai](https://github.com/zckly/create-t3-turbo-ai) has 353 stars, 20 forks, and 3 open issues, last pushed Feb 27, 2023. Figures are from public GitHub metadata via [agents's repository](https://github.com/wshobson/agents) and [create-t3-turbo-ai's repository](https://github.com/zckly/create-t3-turbo-ai).

| | [agents](/tools/wshobson-agents.md) | [create-t3-turbo-ai](/tools/zckly-create-t3-turbo-ai.md) |
| --- | --- | --- |
| Tagline | Multi-harness agentic plugin marketplace for various AI agents | Build full-stack, type-safe, LLM-powered apps with T3 Stack and more |
| Stars | 39,823 | 353 |
| Forks | 4,246 | 20 |
| Open issues | 12 | 3 |
| Language | Python | TypeScript |
| Adopt for | 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 | create-t3-turbo-ai is a TypeScript-centric framework for developing AI applications with the T3 stack and tools like OpenAI and Langchain. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT License provides flexibility in the usage and redistribution of the code. |
| Categories | AI Agents, Developer Tools | Developer Tools, LLM Frameworks |

## Trust and health

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

| | [agents](/tools/wshobson-agents.md) | [create-t3-turbo-ai](/tools/zckly-create-t3-turbo-ai.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 1d | 1300d |
| Open issues (now) | 12 | 3 |
| Stars delta | +895 (30d) | -1 (30d) |
| Open issues delta | +7 (30d) | 0 (30d) |
| Full report | [trust report](/tools/wshobson-agents/trust.md) | [trust report](/tools/zckly-create-t3-turbo-ai/trust.md) |

## Decision facts: agents

- **Adopt for:** 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

## Decision facts: create-t3-turbo-ai

- **Pricing:** freemium - Free to use under MIT license; however, third-party services such as OpenAI may have associated costs.
- **Requirements:** Requires a working knowledge of TypeScript.; Integration with third-party AI and language models may require specific API keys or credentials.
- **Adopt for:** create-t3-turbo-ai is a TypeScript-centric framework for developing AI applications with the T3 stack and tools like OpenAI and Langchain.
- **License detail:** MIT License provides flexibility in the usage and redistribution of the code.

## Choose when

### Choose agents if…

- agents is primarily Python; create-t3-turbo-ai is TypeScript.
- 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

### Choose create-t3-turbo-ai if…

- create-t3-turbo-ai is primarily TypeScript; agents is Python.
- Pricing: Free to use under MIT license; however, third-party services such as OpenAI may have associated costs..
- Requirements: Requires a working knowledge of TypeScript.; Integration with third-party AI and language models may require specific API keys or credentials..
- Tags unique to create-t3-turbo-ai: ai, gpt-3, langchain, typescript.
- Also covers LLM Frameworks.
- When you are looking to develop full-stack, type-safe AI-powered apps using the T3 Stack and Turborepo.

## 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

## When NOT to use create-t3-turbo-ai

- Avoid if your team is not comfortable or familiar with TypeScript as it doesn't support other languages.
- Not advisable when you are specifically searching for a framework that also supports real-time collaborative editing features, unlike some competitors which offer this functionality.

## Common questions

### What is the difference between agents and create-t3-turbo-ai?

agents: Multi-harness agentic plugin marketplace for various AI agents. create-t3-turbo-ai: Build full-stack, type-safe, LLM-powered apps with T3 Stack and more. See the comparison table for live GitHub stats and shared categories.

### When should I choose agents over create-t3-turbo-ai?

Choose agents over create-t3-turbo-ai when agents is primarily Python; create-t3-turbo-ai is TypeScript; 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 choose create-t3-turbo-ai over agents?

Choose create-t3-turbo-ai over agents when create-t3-turbo-ai is primarily TypeScript; agents is Python; Pricing: Free to use under MIT license; however, third-party services such as OpenAI may have associated costs.; Requirements: Requires a working knowledge of TypeScript.; Integration with third-party AI and language models may require specific API keys or credentials.; Tags unique to create-t3-turbo-ai: ai, gpt-3, langchain, typescript; Also covers LLM Frameworks; When you are looking to develop full-stack, type-safe AI-powered apps using the T3 Stack and Turborepo.

### 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

### When should I avoid create-t3-turbo-ai?

Avoid if your team is not comfortable or familiar with TypeScript as it doesn't support other languages. Not advisable when you are specifically searching for a framework that also supports real-time collaborative editing features, unlike some competitors which offer this functionality.

### Is agents or create-t3-turbo-ai more popular on GitHub?

agents has more GitHub stars (39,823 vs 353). Stars measure visibility, not whether either tool fits your constraints.

### Are agents and create-t3-turbo-ai open source?

Yes - both are open-source projects on GitHub (agents: MIT, create-t3-turbo-ai: MIT).

### Where can I find alternatives to agents or create-t3-turbo-ai?

GraphCanon lists graph-backed alternatives at [agents alternatives](/tools/wshobson-agents/alternatives) and [create-t3-turbo-ai alternatives](/tools/zckly-create-t3-turbo-ai/alternatives) ([agents markdown twin](/tools/wshobson-agents/alternatives.md), [create-t3-turbo-ai markdown twin](/tools/zckly-create-t3-turbo-ai/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/wshobson-agents-vs-zckly-create-t3-turbo-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agents or create-t3-turbo-ai?

agents: Very active. create-t3-turbo-ai: Dormant. 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 agents and create-t3-turbo-ai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents trust report](/tools/wshobson-agents/trust); [create-t3-turbo-ai trust report](/tools/zckly-create-t3-turbo-ai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=wshobson-agents`](/api/graphcanon/graph?tool=wshobson-agents)
- 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/_
