A tool for working with the codemanifest specification — assembly, extension, and plan-building workflow
Project description
Goga
A new semantic layer between specification and implementation based on the CODEMANIFEST specification — helping humans and AI agents reason about project structure at a higher level of abstraction.
A full-fledged Specification-Driven Development (SDD) framework: describe cell contracts with a structured YAML DSL, validate them, extract contracts from source code, and drive an end-to-end agent workflow — propose, brainstorm, design, plan, build, change, and accept — under the hood.
Languages
Agents
Install
pip install goga
Connect goga to your agent
goga connect <agent>
Quick start
Start a new project from scratch and build your first feature end-to-end.
1. Initialize the project — the interactive wizard sets up .goga/config.yml, language conventions, and (optionally) a Dockerfile:
goga init
2. Open your agent — launch the agent you connected via goga connect (e.g., Claude Code) in the project directory. All goga-<command> skills are now available.
3. Formulate the first feature — describe what you want to create:
/goga:propose <what you want to create>
The example above uses Claude Code style. For other agents, invoke the skill directly: goga-propose.
4. Run the workflow — each subsequent command takes the previous artifact as input and produces the next one:
propose → brainstorm → apply → design → plan → goga build → change → accept
Reviews are optional at every stage. For smaller changes, use one of the shortcut paths described in the Workflow section.
5. Visualize the result — once apply has produced cells on disk, inspect the architecture:
goga schema | goga tool viewer
What is a cell?
A cell is a directory that encapsulates a distinct responsibility domain with a well-defined API boundary. Each cell contains a CODEMANIFEST file describing its contract and an optional .usages/ directory with documentation for API consumers.
cell/
├── CODEMANIFEST # YAML DSL describing the API contract
└── .usages/*.md # Practices for working with the cell
The rule of thumb is one responsibility zone — one cell. A new cell is born when logic can be decoupled, owns distinct data models, must be reused, or can be stated in a single phrase without "and".
Anatomy of a contract
A CODEMANIFEST consists of three sections separated by ---:
- Header —
Imports(types and usages from other cells),Usages(named practices),Annotations(global directives) - Body — entities and routines that form the cell's public API
- Footer —
Author,CreatedAt,Description
Cells expose three kinds of types:
- Entity types — objects with state and behavior (services, configurations, data models): properties + methods
- Routine types — single operations (transformers, factories, validators, parsers): no state
- Embedded types — re-exports of imported types:
->ExternalService
Specialization is expressed with the :: mutation syntax. The DSL stays language-agnostic — BaseEntity::ExtendedEntity may be realized through inheritance, composition, an adapter, or an interface implementation in the target language.
Example
Imports:
- Types:
- AnotherCellType
From: path/to/another_cell
Usages:
conventions: .goga/usages/conventions.md
Annotations: |
Use `conventions` when writing code.
---
"ParseInput(input: string) -> data:List<byte>":
location: parser.py
annotations: |
Parses raw input into a byte buffer.
`input`: raw request payload
"HTTPServer(name: String)":
location: server.py
properties:
"host -> String": |
Bind address for incoming connections.
methods:
"handleRequest(req: Request) -> resp:Response": |
Dispatches a single HTTP request.
Algorithm:
1. Parse input from `req` with `ParseInput`
2. Filter result by some logic
3. Save filtered result in `resp`
4. Return `resp` object
---
Author: Goga
CreatedAt: 01/01/26
Description: |
HTTP entry point cell.
Features
- Specification-Driven Development — Contracts are the source of truth; the agent workflow produces architecture, code, and tests from them
- CODEMANIFEST DSL — Describe cell contracts with types, routines, imports, usages, and annotations
- Agent workflow — Built-in cycle:
propose → brainstorm → apply → design → plan → build → change → accept, with review checkpoints and shortcut paths for smaller changes - Validation — AST-based linter with 21 document-level and 3 tree-level rules
- Language parsers — Extract contracts from Python, Go, Kotlin, Swift, and JavaScript via tree-sitter
- CLI toolkit — init, lint, build, schema, connect, and contract extraction commands
- Docker builds — Execute build plans via ralphex in isolated containers
Documentation
Full documentation is available at qarium.github.io/goga.
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