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Dev tools · alternatives · 2026

24 alternatives to LLMs as Planners, Not Reasoners

Contribute to dkohlsdorf/gemini_prolog development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Replacing the OS process scheduler with an LLM. Contribute to mprajyothreddy/brainkernel development by creating an account on GitHub.

    Dec 2025 · github.com · its alternatives →

  2. 2

    Build local LLMs using top data science libraries

    2023 · its alternatives →

  3. 3

    Contribute to hamsterbase/llm-translator development by creating an account on GitHub.

    May 2026 · github.com · its alternatives →

  4. 4

    Recently featured in a LangChain blog https://blog.langchain.dev/empowering-development-with-flowt... , use LLMs to construct an API first runnable workflow with an IDE experience.

    2024 · github.com · its alternatives →

  5. 5HP

    Hi HN. I heard you like dev tools and AI, so we wanted to share our project that we’ve been working on. We’re working on Horizon [1] - a higher level abstraction for LLMs so that developers can spend less time trying to grapple with LLMs to make them work and more time with users. This is the starting feature set which takes an auto-ML approach to identify the optimal LLM model, hyperparameters, and prompt - instead of just giving you the tooling to figure it out yourself. You can read more about it in our documentations. Our view is that as LLMs become increasingly commoditized and prompts…

    2023 · gethorizon.ai · its alternatives →

  6. 6

    A CLI tool to convert your codebase into a single LLM prompt

    2025 · github.com · its alternatives →

  7. 7

    Hi, this is Tristan, CPO of XTrace. We are launching a very cool feature that is inspired by Andrey Karpathy's LLM Wiki mindmap. Let everyone who doesn't have enough sessions and markdowns made with claude code be able to visualize their own memory mindmap!

    May 2026 · github.com · its alternatives →

  8. 8

    LLM as a Chatbot Service. Contribute to dstackai/LLM-As-Chatbot development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  9. 9

    For the past few months I've been building a lot of things with LLMs (GPT-3, Codex, etc.) as I've been trying to push them to their limits (especially towards applying them to the tabular data domain) When working on this, I've found there are some common patterns for solving problems (templating, chaining, functional-programming style operations, etc.) As I've iterated, I've come to believe that a functional style interface is likely going to power a new wave of systems I'm calling "prompt-machines"(systems where the core new unit of work is a "named" LLM prompt, extending the "function"…

    2022 · github.com · its alternatives →

  10. 10

    AICoding,Develop Tools,LLM

    2025 · codebaseassistant.com · its alternatives →

  11. 11LA

    Hello HN, I am building a devtool to understand existing codebases. The idea originates from my time at big tech as well as various attempts to get involved in open source projects. When I was in college I wanted to improve my coding skills by contributing to opensource projects. I would pickup a bug or feature request but I always found myself stuck at the very first step. I did not understood where and how to begin contributing. I once submitted a patch in firefox which was labeled "Good first issue" but that was still very handheld. The assigner told me exactly which files I need to…

    2024 · lucidcode.ai · its alternatives →

  12. 12

    Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…

    2024 · github.com · its alternatives →

  13. 13

    hi everyone. how does moving llm call prompts and output structure definitions away from code into configuration land sound? would you use something like this if it was stable and well documented enough? please don't hold back the criticism. i appreciate all feedback (constructive & otherwise).

    2024 · github.com · its alternatives →

  14. 14GV

    Hey HN, I just updated my project that compares some LLMs. It uses your prompt for all the models and runs at the same time. You can see the results being generated in real-time and decide what's the best for your use case. I'm open to any suggestions and feedback. Thanks!

    2024 · geminivsgpt.com · its alternatives →

  15. 15

    Get a second opinion from another AI model. Contribute to raine/consult-llm development by creating an account on GitHub.

    Nov 2025 · github.com · its alternatives →

  16. 16

    Hi HN, Today I'd like to present the results of my weekend project of the last year or so. Given there are many posts on HN about LLMs and Prolog, I thought that this would be of interest. DeepClause is my own (possibly misguided :-) attempt at combining LLMs with Logic Programming, ultimately hoping to establish a foundation for building more reliable agents, that produce reproducible and fully traceable result. At the heart of DeepClause is a DSL called "DeepClause Meta Language" (DML) which can be used to encode agent behaviors as executable logic programs. DML is executed by a…

    Nov 2025 · github.com · its alternatives →

  17. 17

    Little tool that I made to understand how (un)reasonable my prompts are.

    Jan 2026 · github.com · its alternatives →

  18. 18IB

    Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…

    2024 · viewpointhq.com · its alternatives →

  19. 19

    Integrate LLM in your shell. Contribute to soheil/shllm development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  20. 20

    I find LLM interpretability extremely interesting and wanted to create a minimal repo for: - SAE training - Automatic feature interpretation - Visualizing features and running interventions through a GUI You can try it here: https://nanointerpret.pages.dev/ Or check the repo: https://github.com/Belluxx/nanointerpret

    Aug 2026 · nanointerpret.pages.dev · its alternatives →

  21. 21

    We used Apple Containers to run LLM generated code locally. Leverage remote LLMs (like ChatGPT or Claude Sonnet 4) to work with your local files—such as videos—securely on your Mac. The LLM runs in a sandboxed environment where it can install external libraries, generate code, and execute it locally without uploading your data to the cloud.

    2025 · github.com · its alternatives →

  22. 22

    Give your LLM a logic engine — SWI-Prolog as an MCP server

    Apr 2026 · github.com · its alternatives →

  23. 23KA

    Hey HN! I've spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects. The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near…

    2024 · its alternatives →

  24. 24

    Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app - GitHub - e2b-dev/code-interpreter: Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

    2024 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →