Solutions

Every tool we build follows the same principle: identify bottlenecks in production AI infrastructure, rewrite the hot paths in Rust, and ship as a drop-in replacement.

Performance Accelerators

Rust-powered drop-in replacements that make your existing AI frameworks production-ready. No code changes required.

fast-litellm

3.2x faster connection pooling, 2.8x faster rate limiting, 42x less memory

Docs GitHub

fast-langgraph

Up to 700x faster checkpoint operations, 46x faster state updates

Docs GitHub

fast-crewai

Up to 34x faster serialization for CrewAI projects

Docs GitHub

fast-axolotl

Eliminates OOM issues for large dataset fine-tuning

Docs GitHub

Agent Infrastructure

Production-grade orchestration, workflow automation, and data access for AI agents at any scale.

brat

Multi-agent harness with crash-safe state, parallel execution, merge management

Docs GitHub

m9m

Go-based workflow automation, 5-10x faster than n8n, 95% feature parity

Docs GitHub

ringlet

Unified CLI for managing Claude Code, Aider, Codex, and other coding agents

Docs GitHub

ormai

Safe, typed, auditable database access for AI agents with policy engine

Docs GitHub

Developer Tools

Faster testing, faster builds, faster everything. Rust-powered replacements for everyday developer tools.

fastworker

Brokerless Python task queue, no Redis/RabbitMQ needed, built-in dashboard

Docs GitHub

stout

10-100x faster Homebrew replacement with FTS5 search

Docs GitHub

rjest

Jest-compatible test runner with 100x faster warm runs

Docs GitHub

grite

Repository-native issue tracker designed for AI agent workflows

Docs GitHub

rpytest

Faster pytest execution with zero configuration changes

Docs GitHub