---
title: "ag-ui vs agency"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ag-ui-protocol-ag-ui-vs-operand-agency"
tools: ["ag-ui-protocol-ag-ui", "operand-agency"]
---

# ag-ui vs agency

*GraphCanon updated Aug 21, 2026*

## Verdict

Pick ag-ui if ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction; pick agency if agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.

[ag-ui](https://ag-ui.com) reports 15k GitHub stars, 1.4k forks, and 343 open issues, last pushed Aug 19, 2026. [agency](https://createwith.agency) has 489 stars, 28 forks, and 19 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [ag-ui's repository](https://github.com/ag-ui-protocol/ag-ui) and [agency's repository](https://github.com/operand/agency).

| | [ag-ui](/tools/ag-ui-protocol-ag-ui.md) | [agency](/tools/operand-agency.md) |
| --- | --- | --- |
| Tagline | Agent-User Interaction Protocol for Frontend Applications | A fast and minimal framework for building agentic systems |
| Stars | 15,412 | 489 |
| Forks | 1,389 | 28 |
| Open issues | 343 | 19 |
| Language | Python | Python |
| Adopt for | Ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction. | Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. |
| Persona | - | - |
| Runtime | - | - |
| License | Ag-UI is licensed under MIT, allowing for open-source usage with contributions being openly permitted and encouraged. | MIT |
| Categories | AI Agents, Developer Tools | AI Agents |

## Trust and health

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

| | [ag-ui](/tools/ag-ui-protocol-ag-ui.md) | [agency](/tools/operand-agency.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 0d | 71d |
| Open issues (now) | 343 | 19 |
| Stars delta | +597 (30d) | +2 (30d) |
| Open issues delta | +68 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/ag-ui-protocol-ag-ui/trust.md) | [trust report](/tools/operand-agency/trust.md) |

## Decision facts: ag-ui

- **Hosting:** self hosted - Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore.
- **Pricing:** freemium - Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore.
- **Adopt for:** Ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction.
- **License detail:** Ag-UI is licensed under MIT, allowing for open-source usage with contributions being openly permitted and encouraged.

## Decision facts: agency

- **Adopt for:** Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents.

## Choose when

### Choose ag-ui if…

- Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore.
- Pricing: Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore..
- Tags unique to ag-ui: ag-ui-protocol, agent-frontend, agent-ui, agentic-workflow.
- Also covers Developer Tools.
- Use Ag-UI if your project leverages TypeScript and you are looking to integrate AI agents directly into frontend applications efficiently.

### Choose agency if…

- Tags unique to agency: actor-model, agent-framework, autonomous-agents.
- When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies.
- Leaner open-issue backlog (19).

## When NOT to use ag-ui

- Avoid using Ag-UI if your application does not require integration with specific cloud platforms like Amazon Bedrock AgentCore, as it currently has limited third-party support.
- Do not choose Ag-UI if you are developing applications that do not use TypeScript, as this limits the tool's applicability to other programming languages.

## When NOT to use agency

- If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework.
- In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.

## Common questions

### What is the difference between ag-ui and agency?

ag-ui: Agent-User Interaction Protocol for Frontend Applications. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories.

### When should I choose ag-ui over agency?

Choose ag-ui over agency when Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore; Pricing: Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore.; Tags unique to ag-ui: ag-ui-protocol, agent-frontend, agent-ui, agentic-workflow; Also covers Developer Tools; Use Ag-UI if your project leverages TypeScript and you are looking to integrate AI agents directly into frontend applications efficiently.

### When should I choose agency over ag-ui?

Choose agency over ag-ui when Tags unique to agency: actor-model, agent-framework, autonomous-agents; When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies; Leaner open-issue backlog (19).

### When should I avoid ag-ui?

Avoid using Ag-UI if your application does not require integration with specific cloud platforms like Amazon Bedrock AgentCore, as it currently has limited third-party support. Do not choose Ag-UI if you are developing applications that do not use TypeScript, as this limits the tool's applicability to other programming languages.

### When should I avoid agency?

If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design.

### Is ag-ui or agency more popular on GitHub?

ag-ui has more GitHub stars (15,412 vs 489). Stars measure visibility, not whether either tool fits your constraints.

### Are ag-ui and agency open source?

Yes - both are open-source projects on GitHub (ag-ui: MIT, agency: MIT).

### Where can I find alternatives to ag-ui or agency?

GraphCanon lists graph-backed alternatives at [ag-ui alternatives](/tools/ag-ui-protocol-ag-ui/alternatives) and [agency alternatives](/tools/operand-agency/alternatives) ([ag-ui markdown twin](/tools/ag-ui-protocol-ag-ui/alternatives.md), [agency markdown twin](/tools/operand-agency/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/ag-ui-protocol-ag-ui-vs-operand-agency.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ag-ui or agency?

ag-ui: Very active. agency: Steady. 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 ag-ui and agency?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ag-ui trust report](/tools/ag-ui-protocol-ag-ui/trust); [agency trust report](/tools/operand-agency/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ag-ui-protocol-ag-ui`](/api/graphcanon/graph?tool=ag-ui-protocol-ag-ui)
- 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/_
