This release is a pre-release and may not be stable for production use.
Koskari
Koskari is a Lisp dialect for Python -- indent-based layout syntax, macros, and a custom bytecode evaluator that runs on CPython.
define greet [name]:
print (+ "Hello, " name "!")
when-main:
greet "world"
koskari hello.ki
# Hello, world!
Overview
Koskari is the fourth iteration of the Sibilant idea, learning from the experiences of:
- spexy: S-expressions compiled to Python expression strings, with
let,cond, and multi-expressionlambdagrafted on. Where the reader and s-expression representation began. - python-sibilant: CPython bytecode target (abandoned due to version churn)
- sibilant-ceval: Custom bytecode evaluator (blocked on call/cc implementation)
This version aims to be a perfect playground -- a language with all the useful features of Python but significantly fewer restrictions, designed to make writing code a joyous expression of will upon the computer.
Quick Start
Prerequisites: Python 3.9+, a C compiler with musttail support (clang, or
GCC 15 or newer; the evaluator threads opcode dispatch through guaranteed tail
calls, and the build picks clang when it is on the PATH or honors CC), and
uv for the virtual-environment workflow below.
Virtual environment
From a repository checkout:
make venv # creates .venv and installs koskari (editable, with repl extra)
make venv-koslife # optional: adds the koslife demo
uv run koskari # interactive REPL
uv run koskari hello.ki
Install
To install into your active Python environment instead:
pip install ".[repl]"
koskari # interactive REPL
koskari hello.ki # run a script
The repl extra enables syntax-highlighted REPL input via prompt_toolkit. Other
optional extras: lsp, pygments, sphinx.
See the quickstart for the full first-session walkthrough.
Documentation
User documentation lives in docs/ and builds into a Sphinx site with
make docs:
- Quickstart -- install, a first session, a first program.
- Tutorials -- Little Koskari for readers new to programming, and From Python with worked examples for Python developers.
- Guide -- one page per concept: evaluation, layout, bindings and refs, functions, control flow, macros, demand and async, hosting.
- Reference -- grammar, special forms, macros, layouts, the runtime library, VM opcodes, and the Python API.
Corpus and MCP server
Koskari maintains a verified example corpus under
docs/corpus/: records carry read / expand / eval
verification phases, so they double as regression tests and as canonical
teaching material. The corpus is published as a Hugging Face dataset,
koskari/koskari.
A container-based MCP server exposes the corpus and the documentation to AI coding assistants (Cursor, Claude Desktop, VS Code, and similar) so they can search and author idiomatic Koskari. See tools/mcp/README.md for build and client setup.
Project status
Koskari is past early bootstrap. Layout syntax and macros compile to bytecode,
the native evaluator runs programs, .ki modules import like Python packages,
and the CLI provides a REPL and script runner. The test suite and
verified corpus exercise behavior across read, expand, compile,
and eval phases.
| Area | Status |
|---|---|
| Language | Layout blocks, hygienic macros, and a broad special-form surface are implemented — see the language reference |
| Runtime | Stackless bytecode VM: coroutines, ambient async, continuations, dynamic wind, tail-call optimization |
| Tooling | REPL (repl extra), disassembler, optional LSP, Pygments, and Sphinx integrations |
| Self-hosting | Core builtins and much of the library live in bootstrap .ki sources; the CLI runs on self-hosted .ki, and the self-hosted compiler is on the roadmap |
The language and APIs are still evolving — treat the reference as authoritative, not frozen. Compiler and opcode inventories for maintainers live in design/SPECIALS.md and design/OPCODES.md. Open work is tracked in design/TODO.md; architecture notes are in design/.
Development
# Lint code
make lint
# Run unit tests
make test
# Run tests across Python versions (containerized)
make test-pyversions
# Clean build artifacts
make clean
# Build user documentation (Sphinx)
make docs
Downstream Sphinx projects should enable
extensions = ['koskari.extras.sphinx'] so autodoc renders Function, Syntax,
and LayoutHandler bindings with signatures and pattern/peer sections.
Project Structure
The repository root is the Koskari project. Import symbols from the submodule that defines them; the top-level koskari package does not re-export.
.
├── design/ # Design documentation (see design/README.md)
├── editors/ # Editor syntax assets (emacs, helix, textmate)
├── examples/ # Example koskari programs (.ki files)
├── koskari/ # Main Python package
├── koskari.pth # Imports koskari on startup to install the .ki/.kio hooks
├── tests/ # Test suite (mirrors package layout)
├── tools/ # Opcode/editor regen, corpus tooling, and the MCP server
├── setup.py, setup.cfg # Package build and tox configuration
├── Makefile # Build, test, and lint targets
└── Containerfile # Runtime container image
koskari package
koskari/
├── __init__.py # Package init; registers import hooks
├── __main__.py # python -m koskari entry
├── exceptions.py # Koskari*, Reader*, Layout*, Compiler* exceptions
├── types.py # Value types from lib + Python predicates/helpers
├── syntax.py # Syntax form definitions
├── hygiene.py # Macro hygiene
├── matcher.py # Pattern matching for special forms (Python layer)
├── builtins.py # Builtins module placeholder (filled by bootstrap)
├── cli/ # Console entry: Python stub, host, launchpad, and REPL
│ ├── __init__.py # Sync entry; main() boots launch.ki via hosted_run
│ ├── host.py # Python REPL host (prompter, eval boundary, banners)
│ ├── launch.ki # CLI launchpad: argparse, file/command load, dispatch
│ └── repl.ki # Interactive REPL loop
├── module.py # Module lifecycle for .ki source files
├── importer.py # Import hook and loader for .ki/.kio modules
├── dis.ki # Self-hosted disassembler for Code objects
├── bootstrap/ # Bootstrap koskari sources and loader
│ ├── *.ki # Core forms compiled into builtins
│ └── __init__.py # Bootstrap loader
├── reader/ # S-expression parser and layout block syntax
│ ├── parser.py # Reader, SourceStream, LayoutReader
│ └── layouts/ # Layout handlers (conditionals, try, class, ...)
├── lexer/ # Token lexer and prompt_toolkit REPL
│ ├── tokens.py, parser.py, discovery.py, highlight.py
│ └── prompt_toolkit/ # REPL integration
├── extras/ # Optional integrations (namespace; no __init__.py)
│ ├── pygments/ # Syntax highlighting lexer
│ ├── sphinx/ # Sphinx extension and autodocumenters
│ └── lsp/ # koskari-lsp language server
├── help/ # In-REPL help for syntax, layouts, and tools
├── compile/ # Compiler, bytecode fragments, special forms
│ ├── compiler.py
│ ├── helpers.py
│ ├── pragma/ # Compile-time pragma resolution
│ └── specials/ # Special form handlers
├── serialize/ # Code serialization (codex format)
└── lib/ # C extension (native types, bytecode, evaluator)
├── atom.c, pair.c, namespace.c, formals.c, ref.c, values.c, ...
├── bytecode.c, eval.c, cont.c, dynchain.c, matcher.c, ...
├── dynchain/ # Dynamic extent handlers (with, wind, try, ...)
├── eval/ # Evaluator state machine
└── opcode/ # Per-opcode implementations
tests
tests/
├── lib/ # Native extension and evaluator tests
│ └── opcode/ # Opcode-specific tests
├── compile/ # Compiler and special-form tests
│ ├── helpers/
│ └── specials/
├── reader/ # Parser and layout tests
│ └── layouts/
├── dis/ # Disassembler tests
├── types/ # Type predicate tests
├── importer/ # Import hook tests
├── lexer/ # Lexer and prompt_toolkit tests
├── matcher/ # Matcher tests
├── syntax/ # Syntax form tests
├── hygiene/ # Hygiene tests
├── help/ # Help system tests
├── exceptions/ # Exception hierarchy tests
├── serialize/ # Serialization tests
├── cli/ # CLI tests
├── reproducers/ # Regression reproducers
├── extras/ # Optional integration tests (phase_extras)
│ ├── pygments/
│ ├── sphinx/
│ └── lsp/
└── native/ # C harness and container memory tests
Design Documentation
Comprehensive design documentation lives in design/. Start with design/README.md for the index. Topics include language features (special forms, operators, macros, layouts), API and types, interpreter architecture (bytecode, compiler, evaluator), and call/CC design.
Testing
# Run Python tests (via tox)
make test
# Run native memory tests in container (requires podman or docker)
make test-native # Basic native tests
make test-asan # AddressSanitizer
make test-valgrind # Valgrind memcheck
# Run tests across Python versions in containers
make test-pyversions
License
GPL v3 - See LICENSE for details.
Author
Christopher O'Brien obriencj@preoccupied.net
1 maintainer
Metadata
1 maintainer
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