---
title: "askimo vs WrenAI"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-canner-wrenai"
tools: ["askimo-ai-askimo", "canner-wrenai"]
---

# askimo vs WrenAI

*GraphCanon updated Aug 18, 2026*

## Verdict

Pick askimo when askimo is primarily Kotlin; WrenAI is Python; pick WrenAI when wrenAI is primarily Python; askimo is Kotlin.

[askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. [WrenAI](https://www.getwren.ai/en/open-core) has 17k stars, 2.0k forks, and 327 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [WrenAI's repository](https://github.com/Canner/WrenAI).

| | [askimo](/tools/askimo-ai-askimo.md) | [WrenAI](/tools/canner-wrenai.md) |
| --- | --- | --- |
| Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL |
| Stars | 318 | 17,295 |
| Forks | 66 | 1,955 |
| Open issues | 19 | 327 |
| Language | Kotlin | Python |
| Adopt for | - | WrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | WrenAI is distributed under an open-source Apache 2.0 license, allowing for broad use, modification, and distribution. |
| Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval |

## Trust and health

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

| | [askimo](/tools/askimo-ai-askimo.md) | [WrenAI](/tools/canner-wrenai.md) |
| --- | --- | --- |
| Open issues (now) | 19 | 327 |
| Stars delta | Unknown | +1.3k (30d) |
| Open issues delta | Unknown | -41 (30d) |
| Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/canner-wrenai/trust.md) |

## Decision facts: askimo

- **Pricing:** unknown - The pricing information on the Askimo repository is not specified.

## Decision facts: WrenAI

- **Pricing:** freemium - Free to use with self-hosting capabilities; commercial support available.
- **Requirements:** Install the CLI using pip (e.g., `pip install wrenai`). Consider regional mirrors like Tsinghua for faster installation in mainland China.
- **Adopt for:** WrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer.
- **License detail:** WrenAI is distributed under an open-source Apache 2.0 license, allowing for broad use, modification, and distribution.

## Choose when

### Choose askimo if…

- askimo is primarily Kotlin; WrenAI is Python.
- License: askimo is AGPL-3.0, WrenAI is Other.
- Pricing: The pricing information on the Askimo repository is not specified..
- Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client.
- Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.

### Choose WrenAI if…

- WrenAI is primarily Python; askimo is Kotlin.
- License: WrenAI is Other, askimo is AGPL-3.0.
- Pricing: Free to use with self-hosting capabilities; commercial support available..
- Requirements: Install the CLI using pip (e.g., `pip install wrenai`). Consider regional mirrors like Tsinghua for faster installation in mainland China..
- Tags unique to WrenAI: agent, bigquery, context-engineering, duckdb.
- When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs.

## When NOT to use askimo

- Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments.
- Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.

## When NOT to use WrenAI

- For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges.
- When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.

## Common questions

### What is the difference between askimo and WrenAI?

askimo: AI Client for chat, RAG, and agents with multi-provider model support.. WrenAI: GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL. See the comparison table for live GitHub stats and shared categories.

### When should I choose askimo over WrenAI?

Choose askimo over WrenAI when askimo is primarily Kotlin; WrenAI is Python; License: askimo is AGPL-3.0, WrenAI is Other; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI.

### When should I choose WrenAI over askimo?

Choose WrenAI over askimo when WrenAI is primarily Python; askimo is Kotlin; License: WrenAI is Other, askimo is AGPL-3.0; Pricing: Free to use with self-hosting capabilities; commercial support available.; Requirements: Install the CLI using pip (e.g., `pip install wrenai`). Consider regional mirrors like Tsinghua for faster installation in mainland China.; Tags unique to WrenAI: agent, bigquery, context-engineering, duckdb; When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs.

### When should I avoid askimo?

Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions.

### When should I avoid WrenAI?

For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges. When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.

### Is askimo or WrenAI more popular on GitHub?

WrenAI has more GitHub stars (17,295 vs 318). Stars measure visibility, not whether either tool fits your constraints.

### Are askimo and WrenAI open source?

Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, WrenAI: Other).

### Where can I find alternatives to askimo or WrenAI?

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

### Which is better maintained, askimo or WrenAI?

askimo: Very active. WrenAI: Very active. 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 askimo and WrenAI?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [WrenAI trust report](/tools/canner-wrenai/trust).

---

**Machine-readable endpoints**

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