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Alternatives

Products that do what FloTorch does

Build. Evaluate. Scale. Enterprise AI, redefined.

  1. 1
    FL0332

    Deploy fast, scale faster

    2023

  2. 2FL

    I'm Jack, and I'm excited to share a project that has channeled my Factorio addiction recently: the Factorio Learning Environment (FLE). FLE is an open-source framework for developing and evaluating LLM agents in Factorio. It provides a controlled environment where AI models can attempt complex automation, resource management, and optimisation tasks in a grounded world with meaningful constraints. A critical advantage of Factorio as a benchmark is its unbounded nature. Unlike many evals that are quickly saturated by newer models, Factorio's geometric complexity scaling means it won't be…

    2025 · jackhopkins.github.io

  3. 3
    Vellum416

    Build AI agents using plain English to do your boring tasks

    Jan 2026

  4. 4

    The 1st agent that builds agents

    Sep 2025

  5. 5

    Any process to AI with all LLM models

    2024

  6. 6

    The platform for building stateful AI

    2025

  7. 7
    Agenta362

    Open-source prompt management & evals for AI teams

    Nov 2025

  8. 8

    Build AI-powered Agents -- in Minutes

    2025

  9. 9
    Prompteus137

    Build and ship AI workflows that won’t break

    2025

  10. 10

    Vibe-code MCP-ready tools for any AI Agent

    2025

  11. 11
    Questflow366

    AI automation workspace

    2024

  12. 12AK

    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

  13. 13

    Build AI agents. Share org-wide. 100+ Tools&MCP

    2025

  14. 14
    Velane95

    Cloud for your AI Agent's tools and functions

    Jul 2026 · velane.sh

  15. 15
    Heym83

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

    Apr 2026 · heym.run

  16. 16
    Pipecat66

    Build AI workflows and assistants for your business

    May 2026 · app.pipecat.in

  17. 17
    Colossal135

    Effortlessly integrate tool-using agents with a single fetch

    2025

  18. 18
    buildpipe116

    Compose, run and automate multi step AI developer workflows

    May 2026 · buildpipe.com

  19. 19

    Agentic R&D factory to test pivots and benchmark strategy

    Mar 2026

  20. 20
    Portals118

    AI Agent Builder Toolkit

    2025

  21. 21AL

    We are Rohit & Ayush, we created Portkey this year March to help tackle some challenges we had seen while building apps based on GPT3, 3.5, 4, and the DevOps principles we brought to the scene to help tackle them. We believe, a solid, performant, and reliable gateway lays the foundation to help build the next level of LLM apps. It decreases excessive reliance on any one company and takes the focus back to building instead of spending time fixing the nitty gritties of different providers and making them work together. Features: Blazing fast (9.9x faster) with a tiny footprint (~45kb…

    2024 · github.com

  22. 22

    Imagine Zapier met AI Agents for workflows to automate tasks

    2025

  23. 23

    Turn user stories to a enterprise-grade applications with AI

    Jan 2026

  24. 24UF

    Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…

    2024 · nexa4ai.com

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