Conar is a desktop database client from Wannabe Space with an AI assistant for schemas, queries, and row edits. It organizes databases into Projects with visual tables and an ERD, and its repository notes support for Postgres, MySQL, MSSQL, and ClickHouse. The project is being renamed to Tamery and remains in beta.[1][2]
Quick verdict
Our assessment is that Conar merits evaluation for developers who want an AI assistant inside a visual desktop database client. Its BYO-key model, cloud-stored connections, beta status, and per-seat Pro pricing deserve explicit attention, as does the ongoing rename to Tamery.[1][2][3]
Capabilities
Conar is a desktop client for Postgres, MySQL, MSSQL, and ClickHouse. Databases are organized into Projects with a sidebar, visual tables offering sorting, filtering, and pagination, and an ERD view of the schema.[1][2]
The Ask Conar assistant generates SQL from natural language, explains query errors, and consults the actual schema before answering. Schema and migrations are tracked so the assistant proposes changes from the current state.[1]
Connections can be created from a connection string with SSL modes and SSH tunneling. Saved connections are stored in the vendor cloud and are reachable from any device the user signs into.[1]
The repository is licensed AGPL-3.0 and the maintainers are renaming the product to Tamery, with the new home at tamery.app and the code moving to a tamery repository.[1]
Who it fits
We would evaluate Conar for developers and operators working with Postgres, MySQL, MSSQL, or ClickHouse who want AI-assisted querying combined with visual browsing and an ERD.[1][2]
The free Hobby plan and a 7-day Pro trial make it easy to try the client and the AI workflow before committing a team to per-seat billing.[1][2]
Users comfortable bringing their own AI provider key and keeping saved connections in the vendor cloud will fit its model best.[1]
Boundaries to check
Conar is in beta and the homepage asks users to expect bugs, so production-critical workflows should be approached with caution.[1]
The AI assistant requires the user's own API key. Model availability, cost, and latency depend on the chosen provider rather than on Conar itself.[1]
Saved connections live in the vendor cloud rather than only on the local machine. That trade-off buys cross-device access but rules out a strictly local-only setup.[1][2]
MongoDB is listed as coming soon rather than supported. MSSQL is documented in the repository even though the homepage emphasizes Postgres, MySQL, and ClickHouse, so MSSQL users should verify current coverage during the trial.[1][2]
Fit and compatibility
The client covers Postgres, MySQL, MSSQL, and ClickHouse per the repository, with MongoDB announced as coming soon on the homepage.[1][2]
Hobby is free for individuals while Pro seats at $10 to $12 per seat per month fit teams that want the assistant and shared workflows; the per-seat model scales with team size.[1][2]
Questions worth asking
Can non-developers use Conar without writing SQL?
Partly. Visual tables, filters, and one-click actions cover routine browsing without SQL, and the assistant can generate queries from plain language. Understanding the schema and reviewing generated SQL still matters, so it suits technical operators more than fully non-technical users.[1]
What does Conar cost per month?
Can Conar be self-hosted?
Which databases does Conar support?
Who should look elsewhere instead of Conar?
Conar targets developers and database operators who want AI-assisted querying inside a desktop client. Teams that need a managed web-based database platform or a fully non-technical data browser should evaluate those categories separately.[1]
Sources and editorial review
Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Conar - AI-native database client
official · Observed October 9, 2026
Official homepage: AI database client positioning; Ask Conar assistant with schema context; Projects, visual tables, ERD; SSL and SSH connections stored in cloud; Hobby free and Pro 10/12 dollars per seat with 7-day trial; beta bug warning; MongoDB coming soon.
- Conar pricing
official · Observed October 9, 2026
Official pricing page: Hobby free with unlimited projects and community support; Pro 10 dollars per seat monthly annual or 12 dollars monthly with 7-day trial and self-hosted-company billing exception.
- wannabespace/conar repository
official · Observed October 9, 2026
Repository: AI-powered tool for Postgres, MySQL, MSSQL and Clickhouse; AGPL-3.0; connections stored in cloud; product renamed to Tamery at tamery.app with code moving to a tamery repository.
Compared with these products
No explicit proprietary baseline is recorded.