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Alternatives

Products that do what Derive – An open home for AI artifacts and workflows does

Review and approval for work made by AI agents. Fair Source, self-hostable, and MCP-native. - derive-to/derive

  1. 1

    One API to scrape, enrich, and extract the internet

    Jul 2026 · context.dev

  2. 2
    Weavable234

    Give every AI agent persistent work context

    May 2026

  3. 3

    Prove ROI and see if your AI spend is actually paying off

    May 2026

  4. 4

    Global APIs as MCP powered by AI Gateway

    2025

  5. 5RE

    Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can think of it as an auto-generated MCP server that self-updates as the host app changes. The result is a skilled AI assistant that actually integrates deeply with any product (not just chat and RAG) with minimal effort. Check out these short demos below that show the agent in software you're probably familiar with: - Jira: https://demo.frigade.com/hn?skill=jira - Spotify:…

    Jul 2026

  6. 6

    Build the semantic layer that makes AI analytics trustworthy

    Mar 2026

  7. 7

    Open-source MCP bridge for Blender AI workflows

    20d ago · github.com

  8. 8
    Curata84

    A shared workspace for AI agents and humans.

    Jun 2026 · curata.ai

  9. 9

    Build grounded, governed, trustworthy data agents

    Jun 2026 · upsolve.ai

  10. 10

    Connect AI agents to governed metadata via MCP

    Jan 2026

  11. 11
    Heym83

    Self-hosted AI workflow automation with agents, RAG, and MCP

    Apr 2026

  12. 12

    Open source IDE where AI agents coordinate as a team

    Mar 2026

  13. 131D

    We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…

    Jun 2026

  14. 14PA

    Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought. You wrap your MCP in 3 lines of code (our SDK is available in Typescript, Python and Go) and start seeing in your dashboard: - All sessions reconstructed: it’s like reading the real conversation the user had inside Claude or ChatGPT! - A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix…

    Aug 2026 · armature.tech

  15. 15AA
  16. 16

    Empower AI coding agents to build APIs and MCP servers

    Jun 2026 · agentback.dev

  17. 17

    Engineering signal for AI-assisted teams

    Jun 2026 · context-mode.com

  18. 18

    The open-source AI platform to build, extend, and self-host

    Jul 2026 · github.com

  19. 19

    Open-source AI agent runtime — build Agents in plain English

    Jul 2026 · syntheticbrew.ai

  20. 20LO

    Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…

    Jan 2026

  21. 21GA

    Hello! Introducing geniusrise, an agent framework and component ecosystem for building AI agent networks that are as flexible as your team. landing page: https://geniusrise.ai (fancy but useless) docs: https://docs.geniusrise.ai (please check this out) github: https://github.com/geniusrise (for dear devs) ## Thought process Since the ChatGPT disruption, I've been pondering on what the tooling layer is going to look like for building LLM-interfacing agents. Saw a plethora of tools coming out as we witness here every week. I'd broadly categorize them into the…

    2023 · github.com

  22. 22

    Open-source AI agent platform — own it, run any model

    Jul 2026 · ibl.ai

  23. 23

    Open-source 2D IDE for managing AI agents in native CLIs, terminal, gits, beads issues, and files across multiple projects and machines. Self-host on a single machine via localhost OR host on a cluster via Tailscale OR connect to app.49agents.com (coming soon) - alpbahadur/49-IDE

    6d ago · github.com

  24. 24BY

    we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!

    Jul 2026 · agent-benchmarks.com

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