Neonblue vs Stele

Build production-ready AI agents in natural language or deploy proven agents for sales, marketing, growth, finance, operations, product and engineering.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read what your project already decided, so context survives between tools and sessions.

About Neonblue

Build production-ready AI agents in natural language or deploy proven agents for sales, marketing, growth, finance, operations, product and engineering. Build and use production-ready AI agents in natural language, complete with their own environment, tools, inputs, outputs and evaluations. It creates the workflow, configures the environment and generates the evaluations. Describe the job Build an agent that triages new Linear tickets, reproduces bugs and drafts a fix when confidence is high. Choose the model, or let Neon Blue choose, and control every action with enterprise-grade security.

About Stele

Shared memory for AI coding agents. Claude Code, Cursor and Codex read what your project already decided, so context survives between tools and sessions. Only one of these agents knows this was tried last spring and rolled back. KNOW-142 : a captcha on checkout shipped last spring and was reverted after two weeks. The bot traffic is real, though it spikes on release days and is quiet the rest of the time. A gate armed only during a release window would avoid repeating that.