---
title: "agentset vs agent-kit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-keyid-ai-agent-kit"
tools: ["agentset-ai-agentset", "keyid-ai-agent-kit"]
---

# agentset vs agent-kit

*GraphCanon updated Aug 22, 2026*

## Verdict

Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick agent-kit if agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library.

[agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [agent-kit](https://keyid.ai) has 677 stars, 10 forks, and 1 open issues, last pushed Mar 13, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [agent-kit's repository](https://github.com/KeyID-AI/agent-kit).

| | [agentset](/tools/agentset-ai-agentset.md) | [agent-kit](/tools/keyid-ai-agent-kit.md) |
| --- | --- | --- |
| Tagline | The open-source RAG platform with built-in citations and support for deep research | Give Claude/Cursor email powers with 27 tools |
| Stars | 2,066 | 677 |
| Forks | 185 | 10 |
| Open issues | 14 | 1 |
| Language | TypeScript | JavaScript |
| Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | Agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library. |
| Persona | - | - |
| Runtime | - | - |
| License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | - |
| Categories | AI Agents, Data & Retrieval | AI Agents |

## Trust and health

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

| | [agentset](/tools/agentset-ai-agentset.md) | [agent-kit](/tools/keyid-ai-agent-kit.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 36d | 136d |
| Open issues (now) | 14 | 1 |
| Stars delta | +31 (30d) | Unknown |
| Open issues delta | +1 (30d) | Unknown |
| Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/keyid-ai-agent-kit/trust.md) |

## Decision facts: agentset

- **Pricing:** freemium - Free to use as it is open-source.
- **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.
- **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management.
- **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights.

## Decision facts: agent-kit

- **Adopt for:** Agent-kit enables creation of AI agents with the capability to handle email and digital communications through a JavaScript library.

## Choose when

### Choose agentset if…

- agentset is primarily TypeScript; agent-kit is JavaScript.
- Pricing: Free to use as it is open-source..
- Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities..
- Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management.
- Also covers Data & Retrieval.
- - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.

### Choose agent-kit if…

- agent-kit is primarily JavaScript; agentset is TypeScript.
- Tags unique to agent-kit: agent, ai-agent, claude, email.
- If you are working on an AI project that requires interaction with email services and other communication methods, such as SMS, using Claude or Cursor.

## When NOT to use agentset

- - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases.
- - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.

## When NOT to use agent-kit

- If your project language does not align with JavaScript, considering that Agent-kit specifically requires JavaScript for its implementation.
- For scenarios where strict tool licensing and version control are critical since the license information for this library is unknown.

## Common questions

### What is the difference between agentset and agent-kit?

agentset: The open-source RAG platform with built-in citations and support for deep research. agent-kit: Give Claude/Cursor email powers with 27 tools. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentset over agent-kit?

Choose agentset over agent-kit when agentset is primarily TypeScript; agent-kit is JavaScript; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; Also covers Data & Retrieval; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.

### When should I choose agent-kit over agentset?

Choose agent-kit over agentset when agent-kit is primarily JavaScript; agentset is TypeScript; Tags unique to agent-kit: agent, ai-agent, claude, email; If you are working on an AI project that requires interaction with email services and other communication methods, such as SMS, using Claude or Cursor.

### When should I avoid agentset?

- Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities.

### When should I avoid agent-kit?

If your project language does not align with JavaScript, considering that Agent-kit specifically requires JavaScript for its implementation. For scenarios where strict tool licensing and version control are critical since the license information for this library is unknown.

### Is agentset or agent-kit more popular on GitHub?

agentset has more GitHub stars (2,066 vs 677). Stars measure visibility, not whether either tool fits your constraints.

### Are agentset and agent-kit open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to agentset or agent-kit?

GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [agent-kit alternatives](/tools/keyid-ai-agent-kit/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [agent-kit markdown twin](/tools/keyid-ai-agent-kit/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/agentset-ai-agentset-vs-keyid-ai-agent-kit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentset or agent-kit?

agentset: Steady. agent-kit: Slowing. 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 agentset and agent-kit?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [agent-kit trust report](/tools/keyid-ai-agent-kit/trust).

---

**Machine-readable endpoints**

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