A living agent.

It becomes yours and evolves over time.

$ curl -fsSL https://nodecode.ai/install.sh | sh
  1. Copy
  2. Paste in a terminal
  3. Run nodecode
Source on GitHub
NODECODE Cyber v1Defend yourself with our Cyber v1 model.Coming soonDeepSeek V4.1 Uncensored + Cyber tuned
Nodecode solving ARC-AGI-3: game ar25, all 8 levels in 301 actions, its shell beside the board
0:00 / 1:33

Nodecode, an agent written in Lisp that evolves.

Updates while it runs

An orchid opens new flowers while it keeps growing. Nodecode makes its updates on the fly and the program evolves naturally.

Everything is a cell

A cell is like a folder that teaches Nodecode something new: a provider login, a tool, a skill, a GitHub repo, a MCP server, you name it.

Edits its own context

Like an organism, Nodecode decides what stays in its context and what goes, and nothing it lets go is lost. The idea behind Context Language Models (Shao et al., 2026).

Lisp

Lisp evolves its own language: code is data, so a program can rewrite itself while it runs. Nodecode redefines itself naturally.

Cells, the building blocks of the organism.

Cell API
1(nle:define-cell weather2  (:section ("weather")3    ("units" :choice4     :options '("c" "f"))5    ("cities" :list))6  (:tool "weather" +schema+ 'look-up)7  (:command "weather" 'run-slash)8  (:hook :frame #'observe))

One form declares a cell: its settings, tools, commands and hooks.

nodecode add

Add a cell.

Upload
  1. Your repogithub.com/you/weather
  2. Read at a commitweather.asd and its README
  3. Listednc://weather

Upload your own cell. Anyone can use it.

Coming soon, our models hosted in Europe, with Zero data retention. Your prompts and answers are private and never stored or logged on our servers. and Encrypted in transit. Your requests are encrypted on every network hop, from your agent to the machine that runs the model..

Founders Lite

Coming soon

About a week of an agent coding full time. a month

4 requests at the same time

Coming soon

Founders Base

Coming soon

About a month of an agent coding full time. a month

8 requests at the same time

Coming soon

Founders Pro

Coming soon

About 3½ months of an agent coding full time. a month

16 requests at the same time

Coming soon

Founders Max

Coming soon

About 10½ months of an agent coding full time. a month

32 requests at the same time

Coming soon

Protecting our customers

ZDR
Zero data retention. Your prompts and answers are private and never stored or logged on our servers.
TLS
Encrypted in transit. Your requests are encrypted on every network hop, from your agent to the machine that runs the model.
GDPR
Data protection. Your requests are processed in Europe, only to answer you, under European privacy law.

0

prompts or answers kept, fully private.

On every plan

Base model: DeepSeek V4.1 Flash 1017, with Foresight Labs finetunes.Security model

Base model: Qwen-Image 2.1 Turbo, with Foresight Labs finetunes.Image model

Base model: Perplexity Decider Flash 1.2, with Foresight Labs finetunes.Classifier model

Subscriptions open soonPlans and prices land with the models.

Research. Grounded on research via Foresight Labs.

54% fewer tokens: 181M against 393M, in 2,333 against 2,241 model calls. 41% less in costs: $124 against $210 at public list prices. The same model, Claude Opus 5.5, on all 25 games, each game's best run, both scoring 100. than Claude Code

66% fewer tokens: 58M against 172M, in 2,822 against 2,298 model calls. 24% less in costs: $33 against $43 at public list prices. The same model, GPT-6.1 Sol, on the same 25 games, each game's best run. Codex scores a little higher, 99.9 to 99.5, with fewer actions per level. Codex had more than one run at 8 games and Nodecode at 3, and 20 of Codex's games ran under a 1,000-action cap, every other game under 1,500. than Codex on GPT-6.1 Sol, on novel interactive reasoning tasks such as ARC-AGI-3.