nowfound

AI · alternatives · 2026

24 alternatives to Pezzo – Open-Source LLMOps Plaform Tailored for Developers

Hello HN, Introducing Pezzo – a developer-centric LLMOps platform designed to streamline Generative AI integrations. As Generative AI gains traction, we've observed a gap in tools catering to product teams and developers. Most are oriented toward ML/AI experts. That's why we created Pezzo - fully open-source under Apache 2.0. GitHub: https://github.com/pezzolabs/pezzo Why Pezzo? - Centralized Prompt Management: Think email templates but for prompts. Design, test, and publish prompts without undergoing an extensive release cycle. - Observability & Insights:…

Pezzo is an open-source LLMOps platform built for developers integrating generative AI into their products. It provides centralized prompt management for designing and publishing prompts without complex release cycles… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Pezzo – Open-Source LLMOps Plaform Tailored for Developers launched in 2023; newer entries below may have overtaken it.

  1. 1
    Agenta▲362

    Open-source prompt management & evals for AI teams

    Nov 2025 · agenta.ai · its alternatives →

  2. 2

    Ship AI apps with fewer surprises

    2024 · langtail.com · its alternatives →

  3. 3

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  4. 4
    Dify.AI▲261

    Open-source platform for LLMOps, define your AI-native apps

    2023 · dify.ai · its alternatives →

  5. 5

    Curated resources related to deploying LLMs into production

    2023 · its alternatives →

  6. 6
    Fimo▲404

    Where your website lives, collaborates, and evolves with AI.

    Jan 2026 · fimo.ai · its alternatives →

  7. 7

    Hey HN! We’re Kevin and Steve. We’re building PromptTools (https:&#x2F;&#x2F;github.com&#x2F;hegelai&#x2F;prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…

    2023 · github.com · its alternatives →

  8. 8
    oqoqo▲325

    Most 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&#x2F;CLI) - Create and share custom benchmarks for how…

    Aug 2026 · oqoqo.ai · its alternatives →

  9. 9
    Arch▲314

    Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

    2024 · github.com · its alternatives →

  10. 10
  11. 11

    Hey HN, I'm Mo. I've been building Paseo, an open source environment for running Claude Code, Codex, and OpenCode across desktop, mobile, web, and CLI. It started last September as a push-to-talk voice interface for Claude Code. I wanted to talk to an agent while going on walks. Then I wanted to see what it was doing. Then text it when I couldn't talk. Then review diffs, run multiple agents, and manage work across machines. After a lot of iteration, it turned into a broader environment. The basic model is: - A daemon runs on your machine (MacBook, desktop, VPS, etc.). - Clients connect to it…

    Jun 2026 · github.com · its alternatives →

  12. 12

    I think like many of you, I've been jumping between many claude code&#x2F;codex sessions at a time, managing multiple lines of work and worktrees in multiple repos. I wanted a way to easily manage multiple lines of work and reduce the amount of input I need to give, allowing the agents to remove me as a bottleneck from as much of the process as I can. So I built an orchestration tool for AI coding agents: Optio is an open-source orchestration system that turns tickets into merged pull requests using AI coding agents. You point it at your repos, and it handles the full lifecycle: - Intake —…

    Mar 2026 · github.com · its alternatives →

  13. 13

    This is a project I've wanted to write for a long time now. I really love the ideas from Nix and I still have a ton of respect for the project, but Nix-the-language never felt intuitive to me and I wanted something with more approachable tooling (although this was circa 2016, so I'm sure Nix has improved a lot since then too-- that was before Flakes were around!) Anyway, I started on the current iteration of Brioche about 6 months ago, and I finally cut an initial release. I'd still consider this a "technical preview" version (performance especially is pretty painful, so that'll be a focus…

    2024 · brioche.dev · its alternatives →

  14. 14

    connect nodes to build AI pipelines, powered by Hugging Face

    2024 · gradio.app · its alternatives →

  15. 15

    Full-Stack Platform for Training Small Language Models

    Jul 2026 · freesolo.co · its alternatives →

  16. 16
    Pomozzo▲66

    Platform to focus on your tasks and track progress

    2021 · its alternatives →

  17. 17

    Hey HN OpenCopilot is an OSS framework which helps devs to build open-source AI Copilots that actually work and embed into their product with ease. Why another LLM framework? Twitter is full of impressive LLM applications but once you peel off the curtains it’s clear that they are just demos. The reason being because building an AI Copilot that goes beyond a Twitter demo can be complex, time-consuming and unreliable. Our team has been in the AI space since 2018 and built numerous LLM apps & copilots. While doing that, we got approached by many startups saying they’d also like to build a…

    2023 · github.com · its alternatives →

  18. 18

    Hello HN! Pierre and Paul here. We are building an open source text analytics tool for user inputs and LLM app outputs The repo is https:&#x2F;&#x2F;github.com&#x2F;phospho-app&#x2F;phospho and landing is https:&#x2F;&#x2F;phospho.ai Most people building with LLMs today don’t have quantified evaluation and usage metrics on the interactions between users and their product. The only solution is to read every message (or a sample) to get a sense of what is going on. You can't improve your product without understanding who your users are and how they are using it. Nobody would launch a website…

    2024 · github.com · its alternatives →

  19. 19

    Hello HN, We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now: - Add training examples in Google Sheets - Click a button to train - Deploy and test instantly - Use OpenAI,…

    2025 · promptrepo.com · its alternatives →

  20. 20

    I pretty much always have a kernel project going on, and have been that way for decades. Over the past couple of years, that's been Anos, which has gotten further along than any of my previous hobby kernels, supporting IPC, multitasking, SMP (x86-64 only right now) and running on real hardware. LLMs (mostly Claude Code) have been used during development, but I learned early on that it's not _great_ at code at this level, so I've restricted its use to mostly documentation and tests. There's _a little_ AI code in the user space, but I have a strict "no AI code" rule in the kernel itself. I…

    Apr 2026 · github.com · its alternatives →

  21. 21

    AI that builds you a deterministic evaluation in minutes

    2025 · its alternatives →

  22. 22MG

    Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…

    2023 · avapls.com · its alternatives →

  23. 23

    Hi all! We've built our fair share of LLM apps, everything from Shopify agents to real-time clones of "Samantha" from "Her". We started facing a lot of annoyances & issues repetitively with building functional apps. So we sifted through 97K posts from the OpenAI Community to confirm and find people with similar problems (& we did). It turns out that there are a handful of low-level problems that everybody who is building an AI app that works well needs to solve: statefulness to manage conversations interaction interface between multiple agents and multiple users. robust document search…

    2024 · github.com · its alternatives →

  24. 24AM

    Hi all, I’m hacking on new features for the ClickHouse native client and wanted the same “just call the model” ergonomics JavaScript and Python now enjoy. It didn’t exist for modern C++, so I wrote one. ai‑sdk‑cpp (Apache‑2.0) gives you: - Unified calls to OpenAI (GPT‑4o) and Anthropic (Claude 3.5) with a single C++20 API. - Streaming, multi‑turn chat, error handling—all std::optional&#x2F;std::variant, no macros. - Tool calling (function‑calling) so the model can hit real APIs; sync or async, runs in parallel. The tricky bit: C++ still lacks real reflection, so mapping plain functions →…

    2025 · its alternatives →

Also compare

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 →