Wren AI
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Text-to-SQL generative BI agent for natural language data querying
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted
Community Feedback
Strengths
- Strong text-to-SQL accuracy via semantic layer
- Open-source (AGPL-3.0)
- Supports multiple databases and LLMs
- Rapid community growth
Weaknesses
- Narrowly focused on BI/analytics use cases
- Requires semantic modeling setup
- AGPL license may restrict commercial use
Wren AI Details
| Organization | Canner |
| Organization Type | Company |
| Funding | Seed |
| Category | Ready-to-Use |
| Subcategory | Single agent |
| Deployment | Self-Hosted |
| Primary Language | Python |
| Runtime | Docker |
| License | AGPL-3.0 |
| Commercial Use | Copyleft |
| GitHub Stars | 14,700 |
| GitHub Forks | 1,600 |
| Release Cadence | Biweekly |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Self-hosted open-source |
| Self-Hosted Free | Yes |
| Community Size | Medium (14.7k stars, rapid growth) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Confidence | High |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google Gemini, Private LLMs |
Use Cases
- Natural language querying over enterprise databases
- Self-service analytics and BI
- Text-to-SQL with semantic layer accuracy
- Multi-database analytics
Similar Tools
When to Use
Best for: Natural language analytics over enterprise databases
Avoid when: General-purpose agent or non-analytics use case
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260324