AI · alternatives · 2026
24 alternatives to I built a database for AI agents
Hey HN, I just spent the last few weeks building a database for agents. Over the last year I built PostHog AI, the company's business analyst agent, where we experimented on giving raw SQL access to PostHog databases vs. exposing tools/MCPs. Needless to say, SQL wins. I left PostHog 3 weeks ago to work on side-projects. I wanted to experiment more with SQL+agents. I built an MVP exposing business data through DuckDB + annotated schemas, and ran a benchmark with 11 LLMs (from Kimi 2.5 to Claude Opus 4.6) answering business questions with either 1) per-source MCP access (e.g. one Stripe…
This is a database built for AI agents that uses SQL and annotated schemas to help agents query business data from multiple sources. It's designed for developers building AI agents that need to answer business… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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InsForge▲622We 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…
Mar 2026 · insforge.dev · its alternatives →
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Anysite.io▲501Build and enrich B2B lists by chatting to your agent
Aug 2026 · anysite.io · its alternatives →
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PostHog▲458An all-in-one product analytics suite you can self-host
2021 · posthog.com · its alternatives →
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Pylar▲502Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…
Dec 2025 · pylar.ai · its alternatives →
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oqoqo▲325Most benchmarks today exist in curated environments and do not translate well to the real world. We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about. Oqoqo can: - Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot - Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI) - Create and share custom benchmarks for how…
Aug 2026 · oqoqo.ai · its alternatives →
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Build AI agents that respond with UI instead of text
Feb 2026 · thesys.dev · its alternatives →
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We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org · its alternatives →
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CamelAI▲194camelAI turns your database into an AI data analyst. Ask questions in plain English, get instant reports with visualizations - no SQL required. Why we built this: - Business teams waste hours waiting for data analysts to build dashboards - Non-technical founders can't get quick insights from their own data - Writing SQL queries is a barrier to data-driven decisions What makes it different: - Uses DuckDB to query terabytes in seconds (built-in, no setup needed) - Supports advanced analytics (cohort analysis, statistical computations) not just basic SQL - Multi-turn conversations: AI explores…
2025 · camelai.com · its alternatives →
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Hyperterse▲86Hi HN, I’m Samrith, creator of Hyperterse. Today I’m launching Hyperterse 2.0, a schema-first framework for building MCP servers directly on top of your existing production databases. If you're building AI agents in production, you’ve probably run into agents needing access to structured, reliable data but wiring your business logic to MCP tools is tedious. Most teams end up writing fragile glue code. Or worse, giving agents unsafe, overbroad access. There isn’t a clean, principled way to expose just the right data surface to agents. Hyperterse lets you define a schema over your data and…
Feb 2026 · hyperterse.com · its alternatives →
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I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…
Apr 2026 · github.com · its alternatives →
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Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases) DeepSQL started as an internal tool to stop our own databases from becoming the bottleneck they were becoming (13,000+ hotels in production). It worked well enough that we're releasing it. DeepSQL is an AI agent that operates a database the way a senior DBA and Data Engineer would 1. Fixes slow queries (we cutdown DB spend by 4x) 2. Fixes DB bloat (blocks unnecessary schema changes, in vibecoded setup) 2. BI dashboards(we removed spend on tableau, retool and appsmith) 3.…
Jul 2026 · deepsql.ai · its alternatives →
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The AI that knows your Postgres database
2024 · chat-with-your-database.vercel.app · its alternatives →
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SchemaFlow▲128Real-time database schemas for AI-IDEs via MCP protocol
2025 · schemaflow.dev · its alternatives →
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Hey, I'm Marc one of the co-founders of Fabi! We've all seen the "chat with your data" or the "AI-as-an-assistant" when building reports, but we felt like this wasn't quite right. So we decided to build a system that allowed users to: * Connect any data source to the AI * Purely chat with the AI and their data (so we show the output right in the chat before you even apply the changes) * Convert that chat to a repeatable analysis with a data app or workflow * Toggle back to chat mode without missing a beat Basically this means that if you're a data person, you don't have to go through these…
2025 · fabi.ai · its alternatives →
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I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com · its alternatives →
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SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com · its alternatives →
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Kopai▲109Share your expertise, and let our agents earn for you.
Sep 2026 · usekopai.com · its alternatives →
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Query Memory▲100One API for all documents your AI agents need
Mar 2026 · querymemory.com · its alternatives →
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Polygres▲58Polygres turns the Postgres you already run into internal search for AI agents. Rows, relationships, and embeddings: one hybrid query, one ranked answer.
Jul 2026 · polygres.com · its alternatives →
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Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…
Aug 2026 · salestrics.com · its alternatives →
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