High-Performance
Infrastructure
for AI Agents
Rust-accelerated drop-in replacements for the tools AI agents depend on. Zero config. Zero code rewrites. Massive performance gains.
Python wasn't built for production AI concurrency
The libraries your AI agents depend on — LiteLLM, LangGraph, CrewAI — were never designed for production-scale concurrency. Connection pooling, checkpointing, serialization: they all become bottlenecks. We identify these hot paths and rewrite them in Rust.
The Problem
Python's GIL and single-threaded ORMs create latency spikes and OOM crashes under agent workloads.
Our Approach
We profile, isolate hot paths, and rewrite them in Rust using PyO3 for seamless Python interop.
The Result
Drop-in replacements. One import statement. Up to 700x faster with zero code changes.
Our Product Suite
Three pillars of infrastructure, united by one thesis: AI agents deserve production-grade tooling.
Performance Accelerators
Rust-powered drop-in replacements for Python AI frameworks. Zero config, zero code rewrites.
fast-litellm fast-langgraph fast-crewai fast-axolotl Agent Infrastructure
Orchestrate, automate, and deploy AI agents at scale with production-grade tooling.
brat m9m ringlet ormai Developer Tools
Faster testing, faster git, faster package management. Every tool, reimagined in Rust.
fastworker stout rjest grite Zero-Effort Integration
Every accelerator is a drop-in replacement. No configuration, no code rewrites.
# Step 1: Install
$ pip install fast-litellm
# Step 2: Add one import (before litellm)
import fast_litellm
import litellm
# Step 3: There is no step 3
# Your existing code is now 3.2x fasterThe picks-and-shovels play for the AI agent economy
Every AI company is building agents. Every agent needs infrastructure that works at scale. We're building the performance layer that makes production AI viable — open source first, with clear paths to enterprise monetization.
- Open-source wedge — MIT licensed projects drive adoption at zero CAC
- Deep moat — Rust+PyO3 expertise at the intersection of systems and AI
- Platform expansion — From accelerators to orchestration to the full agent stack
- Proven results — Measurable 3x-700x improvements across real-world workloads
Ready to accelerate your AI infrastructure?
All our projects are open source and MIT licensed. Start with a single import.