The operating system for self-assembling AI.
Stop hardcoding fragile state machines. Axiom is a polyglot serverless platform that turns any function into a live tool. Build workflows that stream natively, recover durably, and let AI agents rewrite their own logic on the fly.
No infrastructure to manage. Instant Knative deployments.
The Problem
We are building next-generation AI using last-generation orchestration.
The market is flooded with frameworks that treat AI agents like simple scripts. They force you to hardcode tools, lock you into one language, and crash the moment things get complex.
Why is shipping production AI so painful?
The Python Lock-in
Current agent frameworks force you into a single language. If you want an agent to use a high-performance Rust web scraper or enterprise Java billing logic, you have to write fragile wrappers. You build tools based on the framework's limitations, not your product's needs.
Fragile State Machines
You wire an agent's logic into a static graph. If a step fails, or if the agent encounters an edge-case it doesn't have a tool for, the entire execution crashes. Debugging a failed orchestration loop at 3 AM is a nightmare.
The Streaming Nightmare
Getting true, token-level intermediate streaming out of complex orchestration graphs usually requires writing custom WebSockets, polling hacks, or accepting horrible latency while you wait for batch processing to finish.
Agents Can't Evolve
In existing frameworks, an agent's toolbox is frozen at deploy time. It can't discover new tools. It can't build missing tools. It is a static script, not an autonomous system.
To build truly autonomous software, we have to change the foundation.
Agents don't need code libraries. They need a live ecosystem.
Instead of forcing agents to run code locally in Python, Axiom treats every tool as an independent, highly-scalable cloud service.
When you build a tool in Axiom—whether in Go, Rust, or Python—it deploys instantly as an auto-scaling API with a strict type contract.
Because tools are live services, agents can search for them, read their contracts, and call them dynamically. No SDK required. No hardcoding. The world's logic becomes the agent's toolbox.
The primitives for production AI.
Serverless Deployments
Write a plain function in your IDE. Run `axiom push`. You instantly get a scalable, observable Knative endpoint. Zero infrastructure experience required.
Truly Polyglot
Write your AI tools in the best language for the job. Go for speed, Python for ML, Rust for safety. Axiom handles the cross-language RPC routing seamlessly.
Native Streaming
Axiom's engine uses per-frame edge plans. You get true token-level SSE streaming natively. Watch your agent think in real-time.
Durable & Stateful
Axiom flows checkpoint natively to Postgres. If a node crashes during a 3-hour task, the graph resumes exactly where it left off.
The Evolution
The leap from static scripts to dynamic ecosystems.
If you are building an AI product today, you've probably felt the friction of trying to scale open-source orchestration frameworks. They are great for prototyping, but buckle under enterprise production loads.
Axiom was built from the ground up on Kubernetes/Knative to solve the hardest problems in AI orchestration: durable execution, polyglot microservices, and giving agents the ability to modify themselves dynamically.
| Static Frameworks | Axiom | |
|---|---|---|
| Tool Integration | Hardcoded Python functions | Dynamic, semantic discovery of live APIs |
| Streaming | Complex WebSockets/Polling | Native SSE token streaming |
| Language Support | Python or TypeScript | Any language (Go, Rust, Py, TS, C#) |
| Failure Handling | Graph crashes, manual retries | Durable execution (resumes automatically) |
| Human in the Loop | Awkward state pauses | Native Graph Pause/Resume primitives |
| Graph Structure | Static (wired at deploy time) | Dynamic (agents can mutate the graph mid-flight) |
How it works
From single function to autonomous system.
Turn any function into an AI tool. Instantly.
The foundation of an agent is its tools. Axiom makes deploying them effortless. Write your logic in Go, Python, Rust, or Node. Define your Protobuf input/output types.
Run axiom devto test locally. Run axiom pushto deploy a fully observable, auto-scaling Knative endpoint.
# Initialize an AI tool in any language
axiom init web-scraper --language go
# Define your typed message contracts
axiom create message ScrapeRequest
axiom create message ScrapeResponse
# Scaffold the node
axiom create node Scrape \
--input ScrapeRequest \
--output ScrapeResponse# nodes/scrape.go — Axiom generates this. You fill in the body.
package nodes
import "context"
// Scrape extracts text from a given URL.
func Scrape(ctx context.Context, req *gen.ScrapeRequest) (*gen.ScrapeResponse, error) {
// TODO: implement your high-performance Go scraper
return &gen.ScrapeResponse{}, nil
}# Deploy your tool as a serverless API
axiom push
# → Live at POST /v1/nodes/web-scraper.Scrape@0.1.0
# Your tool is now available globally in the Axiom marketplace.Wire tools together visually. Stream every token.
Open the Axiom visual editor. Drag your deployed tools onto the canvas. Connect them together. The platform handles the cross-language gRPC routing natively.
Axiom compiles your visual graph into an optimized execution artifact. Because we use per-frame edge plans, you get true Server-Sent Events (SSE) streaming out of the box. Watch data flow through your pipeline token-by-token without writing a single line of WebSocket code.
The Marketplace: Give your agent an infinite toolbox.
Your graph doesn't have to be static. Add an LLM node to the canvas.
Because every tool on Axiom is a live, typed service, your agent can query the global Marketplace dynamically. It can ask: "Find me a tool that converts PDFs to text."
It reads the type contract, structures the JSON payload, and calls the endpoint directly. No SDK required. The agent figures it out on the fly.
# In an Axiom workflow, agents dynamically discover tools.
# They don't need code generated. They just search the marketplace:
axiom search "extract text from website"
# → web-scraper v1.0.0 ★ 4.9
# The agent reads the type contract and calls the endpoint directly.The Paradigm Shift: Self-Assembling Agents
What happens when an agent needs a tool that doesn't exist? In a normal framework, it crashes. An engineer has to wake up, write a Python wrapper, and deploy a new version of the app.
In Axiom, the agent builds it.
Mid-Execution Flow Mutation
Because Axiom runs in the cloud, agents have access to the same CLI commands you do. If an agent hits a blocker, it can run axiom init, write the logic for a missing tool, and run axiom push.
Using Axiom's ax.mutation.flow primitive, the agent can then dynamically inject that newly deployed tool into its own running execution graph and seamlessly fork-resume.
The agent fixes its own pipeline, mid-execution. This is the era of self-assembling software.
Built for the next generation of AI engineering.
AI Startups & Builders
Stop wrestling with Docker, API routing, and Python loops. Axiom closes the gap between “I wrote a function” and “I have a production AI pipeline”. Ship complex workflows in days, not months.
Enterprise AI Teams
Building mission-critical flows? Axiom gives you Kubernetes-native durable execution, Human-in-the-Loop (HITL) pauses, and type-safe polyglot architecture so you can scale safely.
AI Researchers
Push the boundaries of autonomous systems. Axiom provides the primitives—flow mutation, persistent memory layers, and live tool marketplaces—required to build true self-assembling AI.
Stop hardcoding. Start composing.
Join the developer preview today. Free to start. No credit card required.