Alternatives
Products that do what Manifesto Engine does
Creates blueprints for AI agents and Coders!
- 1PN
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
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- 4DG
2019 · github.com
- 5IO
2024 · github.com
- 6OS
Oct 2025 · github.com
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Production-tested architecture for autonomous Claude agents
Apr 2026 · dvdshn.com
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- 10DL
2014 · databaselabs.io
- 11DT
I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…
Jan 2026
- 12MA
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
- 13EA
2025 · enginelabs.ai
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- 15IB
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…
Apr 2026 · github.com
- 16PE
2022 · github.com
- 17ME
We are building a VM that helps you simulate realistic production conditions, model latencies, different interleaving, user requests, and find bugs. Every non-deterministic property is turned into a knob you or a coding agent can control. We have helped teams perfectly reproduce support incidents and found bugs in some of the world's most well tested software (including a database).
Jun 2026 · workers.io
- 18TO
2025 · github.com
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- 20PW
Hey HN, I'm a big fan of the Postgres ecosystem and the reliability it brings to the TS stack. More often than not, the answer to "should I add another piece of infrastructure?" is "Postgres can already do that." I’ve been a long-time user of https://timgit.github.io/pg-boss, but I wanted to take the developer experience (DX) a step further for multi-step processes, especially for AI workflows. I built pg-workflows to provide a fluent API for defining durable background logic. Instead of manually stitching together disparate jobs, you can define your business logic as a clean,…
Feb 2026 · sokratisvidros.github.io
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Build autonomous AI agents — the practical blueprint
Feb 2026 · agentblueprint.guide
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Ship real products with AI agents while you sleep
Mar 2026 · iamarchonai.gumroad.com
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