AI · alternatives · 2026

24 alternatives to ZenModel – Golang framework for LLM Agentic apps

ZenModel is a framework for building LLM applications with agentic workflow - zenmodel/zenmodel

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. ZenModel – Golang framework for LLM Agentic apps launched in 2024; newer entries below may have overtaken it.

1
GoModel – an open-source AI gateway in Go▲217
Hi, I’m Jakub, a solo founder based in Warsaw. I’ve been building GoModel since December with a couple of contributors. It's an open-source AI gateway that sits between your app and model providers like OpenAI, Anthropic or others. I built it for my startup to solve a few problems: - track AI usage and cost per client or team - switch models without changing app code - debug request flows more easily - reduce AI spendings with exact and semantic caching How is it different? - ~17MB docker image - LiteLLM's image is more than 44x bigger ("docker.litellm.ai/berriai/litellm:latest" ~…
Apr 2026 · github.com · its alternatives →
2
Zen Agents (by Zencoder)▲287
Build AI agents. Share org-wide. 100+ Tools&MCP
2025 · docs.zencoder.ai · its alternatives →
3
ZenMux▲382
An enterprise-grade LLM gateway with automatic compensation
Feb 2026 · zenmux.ai · its alternatives →
4
Agenta▲362
Open-source prompt management & evals for AI teams
Nov 2025 · agenta.ai · its alternatives →
5
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 →
6
Notte Browser Agents▲275
Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
2025 · notte.cc · its alternatives →
7
Llama 2▲263
The next generation of Meta's open source LLM
2023 · developer.meta.com · its alternatives →
8
LLM Gatewayfree tier▲296
I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
2025 · llmgateway.io · its alternatives →
9
Agents.json – OpenAPI Specification for LLMs▲212
Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
2025 · github.com · its alternatives →
10
Agentflow – Run Complex LLM Workflows from Simple JSON▲51
So, it feels like this should exist. But I couldn't find it. So I tried to build it. Agentflow lets you run complex LLM workflows from a simple JSON file. This can be as little as a list of tasks. Tasks can include variables, so you can reuse workflows for different outputs by providing different variable values. They can also include custom functions, so you can go beyond text generation to do anything you want to write a function for. Someone might say: "Why not just use ChatGPT?" Among other reasons, I'd say that you can't template a workflow with ChatGPT, trigger it with different…
2023 · github.com · its alternatives →
11
Tired of building agents? throw an LLM at this framework▲14
Enable LLMs to Program Themselves. Contribute to Osly-AI/Pocket-Flow-Framework development by creating an account on GitHub.
2025 · github.com · its alternatives →
12
Colossal▲135
Effortlessly integrate tool-using agents with a single fetch
2025 · colossalhq.com · its alternatives →
13WT
Wasp – the first full-stack framework powered by an LLM▲17
2025 · wasp.sh · its alternatives →
14
Smolmodels – open-source tool to build ML models using natural language▲37
Hi HN - Marcello and Vaibhav here. We built smolmodels to experiment with using LLMs for ML development. It's a fully open-source library that generates complete model training and inference code from natural language descriptions. It combines graph search with LLM code generation to find a model that gives as good predictions as possible. The core idea is that LLMs are overkill for a lot of predictive tasks. Smolmodels automates the trial-and-error process of finding the right model architecture and training approach, letting you build small, specialised models. You can either provide your…
2025 · github.com · its alternatives →
15
ZenStack – DSL to define data and access rules closer to the database▲19
We're excited to announce the launch of ZenStack V1 after a year of refinement. With ZenStack, we introduce ZModel, a domain-specific language (DSL) that simplifies the definition of data and access rules, bringing it closer to the database level. This eliminates the need for extensive, repetitive coding on the application side. We would love to hear your feedback and opinions on it. Thank you!
2023 · github.com · its alternatives →
16
LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG▲51
Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a…
2024 · github.com · its alternatives →
17
20+ Claude Code agents coordinating on real work (open source)▲53
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
18
go-agent framework▲15
Build production-ready AI agents in Go.
Nov 2025 · github.com · its alternatives →
19
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)▲45
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
20
ZenML, extensible open-source MLOps framework for reproducible ML▲37
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
2020 · github.com · its alternatives →
21LF
LMM for LLMs – A mental model for building LLM apps▲6
I've been building agentic apps for some large Fortune 500 companies (T-Mobile, Twilio, etc.) and developed a mental model that serves as a practical guide in building agentic apps: separate the high-level agent specific logic from low-level platform capabilities. I call it the L-MM: the Logical Mental Model for LLM applications. This mental model has not only been tremendously helpful in building agents but also helping customers think about the development process - so when I am done with a consulting engagement they can move faster across the stack and enable engineers and platform teams…
2025 · its alternatives →
22
LLMStack – Low-Code Platform for Building LLM Apps with LocalAI Support▲7
No-code multi-agent framework to build LLM Agents, workflows and applications with your data - trypromptly/LLMStack
2023 · github.com · its alternatives →
23
Concierge - Framework for Building Agentic Web Interfaces▲20
Hey HN, We’re building Concierge, An open source framework that allows you to build Agentic Applications, letting LLMs navigate, interact, and transact with your service It's a declarative framework which makes it easy for you to create Microservices for AI agents. You can expose your existing web offerings to LLMs. To support navigation you can use several abstractions like Stages, Tasks, Workflows and more. These specify the rules and guiding principles of how an Agent interacts with the service. It's especially useful when you want to expose complex business logic with thousands of APIs,…
Nov 2025 · github.com · its alternatives →
24
Tiger – Function Hub for LLM Agents▲28
Neuralink for your AI Agents - LangChain - Autogen - CrewAI - Upsonic/Tiger
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 →