namel3ss 0.1.0a1

Build AI-native applications in plain English. Data, UI, backend logic, and AI — all in one .ai file.

namel3ss

Build AI-native applications in plain English.

namel3ss (pronounced nameless) is an English-first, AI-native programming language, built from the ground up to support AI. Everything your app needs — data, UI, backend logic, and AI — lives together in one .ai file. You describe what your system is and what it should do. namel3ss makes it executable.

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Why namel3ss

Modern application development is fragmented.

One stack for the backend.
Another for the UI.
A separate pile for prompts, agents, memory, tool calling, orchestration, tracing.

namel3ss removes the glue. It keeps the program readable, the runtime deterministic, and AI explicit and inspectable.

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What makes it different

• One file can define data models, UI pages, flows, and AI behavior.
• Deterministic by design. AI is the only non-deterministic boundary — and it’s explicit.
• Inspectable AI: memory, tools, and traces are visible.
• A real toolchain: CLI, formatter, linter, Studio.
• If it’s hard to understand, it’s wrong.

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10-second demo

pip install namel3ss
n3 new crud
n3 crud/app.ai studio

You just generated a working app and opened Studio to run it, inspect state, and see traces.

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The Rule of 3

The “3” in namel3ss is not decoration. It’s a promise.

If you cannot understand the basics of namel3ss in 3 minutes, we consider that a design failure — and we will redesign it.

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What you can build today

CRUD dashboards (records → forms/tables → validation). Internal tools and admin panels. AI assistants over your records (with memory and traces). Multi-agent workflows (sequential + parallel orchestration). Prototypes that stay readable as they grow.

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What’s intentionally missing

namel3ss is focused. Some things are not here yet — on purpose. Before using it for production systems, read: resources/limitations.md.

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Quickstart

• Quickstart guide: docs/quickstart.md
• Examples: examples/
• Learning book: resources/books/learning_namel3ss_v0.1.0.md
• Links: repo, docs, issues, changelog below.

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Core CLI (file-first)

Run an app:

n3 app.ai

Validate:

n3 app.ai check

UI manifest and actions:

n3 app.ai ui
n3 app.ai actions

Run Studio:

n3 app.ai studio

Format and lint:

n3 app.ai format
n3 app.ai lint

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Providers and secrets

namel3ss supports local and cloud providers (including Ollama and Tier-1 cloud providers). Secrets should not be stored in .ai. Use environment variables or a local .env file next to app.ai. Templates generated by n3 new include .gitignore rules to keep .env out of git.

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Status

namel3ss is v0.1.0-alpha. It is stable enough for early adopters, prototypes, internal tools, and learning — and it is evolving fast.

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Contributing

Read: CONTRIBUTING.md. Keep files small, focused, and disciplined. namel3ss stays readable by design.

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Links

• Repository: https://github.com/namel3ss-Ai/namel3ss
• Documentation: https://github.com/namel3ss-Ai/namel3ss/tree/main/docs
• Issues: https://github.com/namel3ss-Ai/namel3ss/issues
• Changelog: https://github.com/namel3ss-Ai/namel3ss/blob/main/CHANGELOG.md