Lingua Universale
A language for verified AI agent protocols.
Try it in your browser -- no install needed. Watch AI agents live -- 3 agents on a verified protocol.
The Problem
Your AI agents talk to each other, but nothing guarantees they follow the rules. Wrong sender, wrong message order, missing steps -- and you only find out in production.
Lingua Universale (LU) is a type checker for AI agent conversations. You define the protocol, LU proves it's correct, and the runtime enforces it.
from cervellaswarm_lingua_universale import Protocol, ProtocolStep, MessageKind, SessionChecker, TaskRequest
# Define: who sends what, to whom, in what order
review = Protocol(name="Review", roles=("dev", "reviewer"), elements=(
ProtocolStep(sender="dev", receiver="reviewer", message_kind=MessageKind.TASK_REQUEST),
ProtocolStep(sender="reviewer", receiver="dev", message_kind=MessageKind.TASK_RESULT),
))
checker = SessionChecker(review)
checker.send("dev", "reviewer", TaskRequest(task_id="1", description="Review auth")) # OK
checker.send("dev", "reviewer", TaskRequest(task_id="2", description="Oops")) # ProtocolViolation!
# ^^^ wrong sender orderThe protocol says reviewer goes next. The runtime blocks it. Not because you trust the code -- because the session type makes it impossible.
Install
pip install cervellaswarm-lingua-universaleOr try it first: Playground (runs in your browser via Pyodide).
Write a Protocol
protocol DelegateTask:
roles: supervisor, worker, validator
supervisor asks worker to execute analysis
worker returns result to supervisor
supervisor asks validator to verify result
when validator decides:
pass:
validator returns approval to supervisor
fail:
validator sends feedback to supervisor
properties:
always terminates
no deadlock
no deletion
all roles participateThen verify it:
lu verify delegate_task.lu [1/4] always_terminates ... PROVED
[2/4] no_deadlock ... PROVED
[3/4] no_deletion ... PROVED
[4/4] all_roles_participate ... PROVED
All 4 properties PASSED.Mathematical proof. Not a test that passes today and fails tomorrow.
What You Get
Feature | Description |
Full compiler | Tokenizer, parser (64 rules), AST, contract checker, Python codegen |
9 verified properties |
|
20 stdlib protocols | AI/ML, Business, Communication, Data, Security -- ready to use |
Linter + Formatter |
|
LSP server | Diagnostics, hover, completion, go-to-definition, formatting |
VS Code extension | |
Interactive chat |
|
Browser playground | Try it now -- Check, Lint, Run, Chat |
Lean 4 bridge | Generate and verify mathematical proofs |
REPL |
|
Project scaffolding |
|
31 modules. 3684 tests. Zero external dependencies. Pure Python stdlib.
CLI
lu check file.lu # Parse and compile
lu verify file.lu # Formal property verification
lu run file.lu # Execute
lu lint file.lu # 10 style and correctness rules
lu fmt file.lu # Zero-config auto-formatter
lu chat --lang en # Build a protocol conversationally
lu demo --lang it # See the La Nonna demo
lu init --template NAME # Scaffold from stdlib templates
lu repl # Interactive REPL
lu lsp # Start LSP serverHow It Works
LU is built on multiparty session types (Honda, Yoshida, Carbone -- POPL 2008). Session types describe communication protocols as types: if two processes follow the same session type, they cannot deadlock, messages cannot arrive in the wrong order, and the conversation always terminates.
The pipeline:
.lu source → Tokenizer → Parser → AST → Spec Checker → Lean 4 Proofs → Python Codegen
↓
PROVED or VIOLATEDLU doesn't replace your AI agent framework. It makes it safe. Like TypeScript for JavaScript -- you keep your tools, you add guarantees.
Examples
LU Debugger -- Live web app: 3 AI agents (Customer, Warehouse, Payment) communicate on a verified OrderProcessing protocol. Click "Break" to see a protocol violation blocked in real time. Source code.
See the examples/ directory:
Agent Orchestration -- 3 AI agents with nested choice, 8/8 properties proved
Live Runner -- Real Claude API agents on a verified protocol
Standard Library -- 20 verified protocols across 5 categories
Or try the interactive Colab notebook -- 2 minutes, zero setup.
More from CervellaSwarm
Lingua Universale is the core project by CervellaSwarm. We also publish these Python packages:
Package | What it does |
AST-powered code understanding (tree-sitter, PageRank) | |
Lifecycle hooks for Claude Code agents | |
Agent definition templates & team configuration | |
Deterministic task routing & validation | |
Multi-agent process management | |
Persistent session context across conversations | |
Immutable event logging & audit trail | |
Automated quality checks & scoring |
All Apache 2.0, Python 3.10+, tested, documented.
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Bug reports: GitHub Issues
Security: See SECURITY.md for responsible disclosure
License
Apache License 2.0 -- see LICENSE.
Copyright 2025-2026 CervellaSwarm Contributors.
Lingua Universale -- Verified protocols for AI agents.
Playground | LU Debugger | PyPI | VS Code | Blog | Colab Demo
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