| Hi HN, We are excited to present you InsForge AI. We quit Databricks, Meta, and Amazon to build *an agent-friendly Supabase alternative*. Why? Because current tools like Supabase make it painful for agents and developers: 1. *RLS enabled by default* → queries fail without policies 2. *Verbose Postgres policies* that are error-prone to write and maintain 3. *Secrets and auth setup* require lots of manual wiring InsForge is an open source project and we provide hosted versions with API access as well. (Website: https://insforge.dev/ , Github: https://github.com/InsForge/InsForge) With InsForge, APIs ship with sane defaults via MCP servers — security rules are applied automatically so developers get safe behavior out of the box, without manual intervention. Both client and server code are fully open source. For a quick start in the hosted version, login to our website and create a project. Then start connecting with your coding agent and start calling our APIs directly. You can find more details in our docs. https://docs.insforge.dev/quickstart This is still an early release and we’d appreciate feedback from the community. What are your pain points when interacting with BaaS platforms? We’ll be around in the comments to answer questions. Thanks for reading! |
Also really like that you’re tackling the “manual auth & secret wiring” problem — I’ve seen so many projects stall because the glue code around auth is brittle and error-prone.
Curious on two points:
How does InsForge handle multi-agent coordination? For example, if multiple AI agents are calling APIs concurrently, are there built-in isolation or quota mechanisms?
What’s your roadmap for integrations? (e.g., vector DBs, observability hooks, hosted dashboards)
This feels like it could lower the barrier for agentic apps quite a bit. Kudos on open-sourcing both client & server — looking forward to seeing how the community builds on this