Alternatives
Products that do what InsForge – Open-source agent-native alternative to Supabase does
Hi HN, we just released InsForge: an open-source, agent-native alternative to Supabase/Firebase designed from the ground up for AI coding agents like Cline, Cursor, and Claude Code. We're building Supabase's features in an AI-native way, enabling agents to build and manage full-stack applications autonomously. (GitHub: https://github.com/InsForge/InsForge) With coding agents, coding is actually the easy part now. You can build a working prototype for your idea in a few hours and run it locally. But to make it production-ready, you still have a long list of things to…
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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:…
Oct 2025 · insforge.dev
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Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.0 (https://github.com/InsForge/InsForge). Quick demo here (https://youtu.be/7Bax5qz0IfM). We started InsForge because we just wanted our Claude Code to handle all the backend / infra stuff for us, instead of us jumping between dashboards doing manual config, or copy paste logs and docs back to agents. We first tried creating a folder…
May 2026 · github.com
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Hey HN, I’m Hang. Today I’m open-sourcing InsForge, a context aware backend for AI coding agents. When using agents like Cursor or Claude to build applications, they often assume what the backend looks like instead of inspecting it. Without access to the actual backend state, they fall back on outdated information, which leads to concrete issues. For example: 1. Storage, edge functions, and database logic are closely connected. Without understanding how these parts interact, existing setups get overwritten and important flows break. 2. Database migrations conflict with foreign keys or miss…
Oct 2025 · insforge.dev
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Hello HN! The day has finally come to stop adding features and start sharing what I've been building the last 5-6 months. It's a bit of CrewAI, OpenDevon, LangFuse/Cloud all in one, providing devs who prefer TypeScript an integrated framework thats provides a lot out of the box to start experimenting and building agents with. It started after peeking at the LangChain docs a few times and never liking the example code. I began experimenting with automating a simple Jira request from the engineering team to add an index to one of our Google Spanner databases (for context I'm the…
2024 · github.com
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2022 · github.com
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Supafork is the AI Agent Native Version Control system, Git built for autonomous agents. Super-fast forks, instant branches, S3-backed agent filesystems, and full env control. Faster than Mesa, more agent-native than Archil. Track every change your agents make. Now the source of truth for your agent
5d ago · supafork.com
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I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…
May 2026 · github.com
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hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
May 2026 · github.com
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I'm Josh, founder of Synth. We've been working on coding agent optimization with method like GEPA and MIPRO (the latter of which, I helped to originally develop), agent evaluation via methods like RLMs, and large scale deployment for training and inference. We've also worked on patterns for memory, processing live context, and managing agent actions, combining it all in a single stack called Horizons. With the release of OpenAI's Frontier and the consumer excitement around OpenClaw, we think the timing is right to release a v0. It integrates with our sdk for evaluation and optimization but…
Feb 2026 · github.com
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We built InsForge because we wanted to use pure prompts to build a production-grade app faster. In practice, AI isn’t reliable enough when generating code or configuring backend pieces like schema, RLS, auth, or functions. Postgres MCP and Supabase MCP are a good starting point, but they felt more like API wrappers for agents than something designed to guide AI safely through backend tasks. So we built our own MCP server on top of Postgres and added a set of context-engineering tools to make prompt-driven workflows more predictable. It gradually turned into a Postgres-based BaaS. Key…
Nov 2025 · insforge.dev
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