Compile natural language specs into tiny neural functions that run locally.
Define what a function should do in plain English. PAW compiles it into a small neural program that runs on your machine — no API keys at runtime, no internet needed after setup, fully deterministic.
pip install programasweights --extra-index-url https://pypi.programasweights.com/simple/import programasweights as paw
# Use a pre-compiled function (downloads once, runs locally forever)
fn = paw.function("email-triage")
fn("Urgent: the server is down!") # "immediate"
fn("Newsletter: spring picnic") # "wait"
# Compile your own from a description
program = paw.compile(
"Fix malformed JSON: repair missing quotes and trailing commas",
slug="json-fixer" # optional: creates username/json-fixer handle
)
fn = paw.function(program.slug) # or paw.function(program.id)
fn("{name: 'Alice',}") # '{"name":"Alice"}'
# Or compile and load in one step
fn = paw.compile_and_load("Classify sentiment as positive or negative")
fn("I love this!") # "positive"If you specifically want the smaller browser-compatible runtime, pass compiler="paw-4b-gpt2". Otherwise, omit compiler and let the server default decide.
| Standard (Qwen3 0.6B) | Compact (GPT-2 124M) | |
|---|---|---|
| Compiler name | paw-4b-qwen3-0.6b |
paw-4b-gpt2 |
| Accuracy | Higher | Lower |
| Base model size | 594 MB | 134 MB |
| Program size | ~22 MB | ~5 MB |
| Local inference | ~0.05-0.5s per call | ~0.03-0.3s per call |
| Runs in browser | No | Yes (WebAssembly) |
The current server default is Standard (paw-4b-qwen3-0.6b). Use Compact (paw-4b-gpt2) when you need smaller files or browser deployment.
If you need to inspect available compiler aliases programmatically, use paw.list_compilers().
GPU acceleration is enabled by default (Metal on Mac, CUDA on Linux, falls back to CPU). Set PAW_GPU_LAYERS=0 to force CPU if GPU causes issues.
Programs compiled with GPT-2 also run in the browser via WebAssembly. The initial model and program assets download automatically; inference then runs client-side.
npm install @programasweights/webimport paw from '@programasweights/web';
const fn = await paw.function('email-triage-browser');
const result = await fn('Urgent: the server is down!');
// result: "immediate"If you load by program ID, browser inference only depends on Hugging Face-hosted assets. Slugs still need one PAW API lookup.
New browser-compatible programs are uploaded to Hugging Face asynchronously after compile. They are usually ready within a minute or two, but under load can take a few minutes, so a freshly compiled browser program may need a short wait before the JS SDK can load it.
See the browser SDK repo for full documentation.
PAW works with Cursor, Claude, Codex, and other AI coding assistants. Paste this into your agent's chat:
I want to use ProgramAsWeights (PAW) to create fuzzy text functions that run locally. Read the instructions at https://programasweights.com/AGENTS.md and help me integrate it.
Or save [AGENTS.md](https://programasweights.com/agents) to your project root — agents read it automatically.
- Fuzzy search — typo-tolerant matching, semantic search, near-duplicate detection
- Format repair — fix broken JSON, normalize dates, repair malformed inputs
- Classification — sentiment, urgency, categories defined in your own words
- Extraction — emails, names, dates from messy unstructured text
- Log triage — extract errors from verbose output, filter noise
- Intent routing — map user descriptions to the closest URL, menu item, or setting
- Agent preprocessing — parse tool calls, validate outputs, route tasks
# Option 1: environment variable (recommended)
export PAW_API_KEY=paw_sk_...
# Option 2: CLI login (opens browser to generate key)
paw loginGenerate API keys at programasweights.com/settings. Authenticated users get higher rate limits.
paw compile --spec "Extract error lines from logs" --json
paw run --program <program_id> --input "[ERROR] timeout" --json
paw login--json gives structured output for programmatic use.
- Website: programasweights.com
- Documentation: programasweights.readthedocs.io
- Python SDK: github.com/programasweights/programasweights-python
- Browser SDK: github.com/programasweights/programasweights-js
- Program Hub: programasweights.com/hub
MIT