From function to production API. In minutes.
Axiom is the service manager for composable software. Write logic in any language, publish it, and get a type-safe, auto-scaling, fully observable endpoint — no Dockerfile, no Kubernetes, no infrastructure experience required.
Every developer has written code that someone else already wrote.
Probably dozens of times. The auth handler. The PDF parser. The data transformer. You knew it existed somewhere. And yet you wrote it again.
Why?
Not laziness. Not ignorance. The ecosystem failed you, in the same four ways it always does.
The code wasn’t interoperable.
It was in Python. You were writing Go. Or it had a dependency that conflicted with yours. Or it required a version you couldn’t use. The package existed, just not for you. Every package registry in the world is a walled garden by language. The thing you needed was on the other side of the wall.
The code wasn’t discoverable.
Even if it existed in your language, finding it required knowing its name, knowing the right person, or stumbling across a blog post from three years ago. There’s no universal place to search across languages. There’s no way to say “find me something that takes a PDF and returns structured text”. Registries know what things are called, not what they do.
The code wasn’t accessible.
Even when you found the right package, using it wasn’t simple. Install the runtime. Resolve the conflicts. Read the docs. Understand the internals. Write the glue code. Hope the interface matches the documentation. The distance between “found it” and “using it” was measured in hours.
Creating and sharing your own wasn’t worth it.
And when you had something worth sharing? Publishing a package means versioning, maintaining compatibility, handling breaking changes, writing documentation that will be out of date in six months. The cost of contribution is high enough that most useful code never leaves the repo it was written in. Every function worth sharing stays private forever.
These aren't four separate problems. They're four symptoms of the same root cause.
We've been sharing the wrong thing.
Code is an implementation. It carries its language, its runtime, its dependencies, its version history. When you share code, you share all of that complexity with it.
What you actually want to share is a capability. A capability has no language. It has a contract: here's what I accept, here's what I return. That's it.
A running service is a capability. It doesn't care whether you call it from Python or Go or TypeScript. It doesn't require you to install anything. You don't need to understand how it works. Only what it does.
The question was never “how do we make package managers better?”
The question was: why are we sharing packages when we could be sharing services?
Composable software has four properties. They were always true. We just kept building the wrong thing.
Interoperable
Works with anything, regardless of language or runtime. A service has no language. Only a contract. Call it from Python, Go, TypeScript, or anything that speaks HTTP.
Discoverable
Found by anyone who needs it, by searching for what it does. One marketplace. Semantic search. Type-based matching. No more hunting across five separate registries.
Accessible
Used immediately, by anyone, with no setup required. An Axiom account and an API key. The service is already running. Zero installs, zero conflicts, zero guesswork.
Shareable
Created and contributed by anyone, in minutes, without infrastructure expertise. Write a function. Run one command. It’s live, versioned, and available to the world.
These aren't features. They're axioms.
What Axiom is
Axiom is what npm would look like if it shared services instead of packages.
Every package manager (npm, PyPI, NuGet, Maven) solves the same problem the same way: find code, download it, run it yourself. Language barrier included.
Axiom is a service manager. The first one that treats the deployed, running service as the unit of sharing instead of the source code. Find a capability, call it. No download. No install. No language wall. Just a typed contract between you and a live endpoint.
| Package Manager | Axiom | |
|---|---|---|
| Unit of sharing | Source code | Running service |
| Language | Specific | Any |
| Setup required | Runtime, deps, conflicts | Account + API key |
| Discoverability | By name, within one language | Semantic search, any language |
| Type safety | Optional, informal | Enforced at the wire |
| Compose services | No | Yes |
What you can build
Start with a function. Build anything.
Your function is a live web API in the cloud. In minutes.
You already know how to write the logic. Axiom handles everything else.
Initialize a package in any language. Define your message types: the typed contract for what your function accepts and returns. Scaffold a node. Axiom generates the skeleton. You fill in the function body.
No Dockerfile. No Kubernetes manifest. No infrastructure knowledge. No framework to learn. No SDK to import. Your business logic has zero Axiom dependency. It's just a function.
Run axiom dev and your node is live locally with hot reload and a built-in HTTP bridge for testing. When you're ready, axiom push deploys it to the platform as a callable, auto-scaling cloud service. One click in the UI makes it public.
# Initialize a package in any language
axiom init pdf-summarizer --language python
# Define your typed message contracts
axiom create message SummarizeRequest
axiom create message SummarizeResponse
# Scaffold the node — Axiom generates the skeleton
axiom create node Summarize \
--input SummarizeRequest \
--output SummarizeResponse# nodes/summarize.py — Axiom generates this. You fill in the body.
from gen.messages_pb2 import SummarizeRequest, SummarizeResponse
from gen.axiom_logger import AxiomLogger, AxiomSecrets
def summarize(log: AxiomLogger, secrets: AxiomSecrets, input: SummarizeRequest) -> SummarizeResponse:
"""Replace with your description — shown in the marketplace."""
# TODO: implement summarize
return SummarizeResponse()# Test locally with hot reload
axiom dev
# → Listening on :8083
# → POST http://localhost:8083/nodes/Summarize
# Deploy to the platform when ready
axiom push
# → Live at POST /v1/nodes/pdf-summarizer.Summarize@0.1.0
# → Publish from the Axiom UI to share with the world.Someone else already wrote what you need. Axiom is already running it.
Every function published on Axiom is live, hosted, and auto-scaling, deployed and operated by Axiom, not the author. The author wrote the logic. Axiom handles everything else.
Search the marketplace by name, by what a service does, or by the type it accepts and returns. Find a PDFChunker. Find an OpenAIEmbedder. Find a SentimentAnalyser that takes exactly the payload type you already have.
Import its type contract in one command. Call it with your API key. Nothing to install. Nothing to deploy. It's already running.
axiom search "extract text from PDF"
# → pdf-chunker v2.1.0 ★ 4.8 12k calls/day
# → document-parser v1.3 ★ 4.6 3k calls/day
axiom import pdf-chunker
# → Type contract imported. Ready to use.Wire services together visually. The platform handles the rest.
Open the graph editor. Drag in nodes. Connect outputs to inputs and the type system tells you what's compatible. Add conditions, transformations, and routing logic between steps.
Axiom compiles your graph into an optimized execution artifact. Every edge is type-validated. Every node is independently observable. Invoke the entire workflow with a single API call.
Add an LLM node. Now your workflow thinks.
Every node in your graph accepts a typed input and returns a typed output. The marketplace tells you what each one does. You connect them, call them, and compose them.
Now ask a different question: what does an AI agent actually need in order to use a tool?
It needs to know the tool exists. It needs to know what to send it. It needs to know what it gets back.
That's a description of every node in the Axiom marketplace.
Add an LLM node to your graph. Give it a goal. The model finds the right node with semantic search, the same search you use. It reads the type contract to know exactly what JSON to send. It calls the endpoint. It reads the typed response. It decides what to do next.
Connect the output of that decision back to the input of the next step with a loop edge, the kind that keeps running until the goal is met or a condition is satisfied. The loop is visible in the graph. Every iteration is traced. There is no black box.
That is an AI agent. The marketplace is its toolbox. The type system is how it knows how to use each tool. The graph is its reasoning made visible.
What if the agent needs a tool that doesn't exist yet?
It builds one. The same commands you used above: axiom init, axiom create node, axiom push are all available to any process that can run a terminal. The agent designs the node, scaffolds the package with the CLI, fills in the function body, pushes it to the platform, and adds it to the graph. A new service, designed and deployed by the agent, available in the marketplace from that moment forward.
This isn't hypothetical. axiom-package-builder is a published flow that does exactly this: taking a natural language description and returning a live, tested, deployed Axiom package. The agent that builds Axiom services is itself built on Axiom.
Built for anyone who wants to build.
Individual developers
You know how to write logic. You’ve never had time to learn Kubernetes or Docker. Axiom closes the gap between “I wrote a function” and “I have a production endpoint”. No containers to configure, no infrastructure to manage, no deployment scripts to write. Just your code and your IDE.
AI engineering teams
Building RAG pipelines, LLM chains, and streaming AI products? Every step is a publishable node. Every pipeline is a composable graph. Your agent’s tools are the marketplace. Full observability into every token, every edge, every iteration, without touching a tracing library.
Small teams shipping fast
Stop rebuilding what already exists. Search the marketplace, compose what you find, write only what’s unique to your product. Ship in days, not months. Every internal function your team publishes becomes part of your own private catalog, reusable across every project you build.
Non-developers and product builders
Never written a line of code? The visual graph editor is a no-code platform. Search the marketplace, drag nodes onto the canvas, connect them, and run. Build automations, data pipelines, and AI workflows entirely through the UI. No terminal, no IDE, no deployment steps.
Write a function. The rest is Axiom.
Free to start. No credit card. No infrastructure experience required.
Interoperable. Discoverable. Accessible. Shareable. These aren't features. They're axioms.