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matrixmapai openabcode
OpenABCode is an LLM-routing coding agent that dynamically routes tasks to the best-suited models
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License: GNU Affero General Public License v3.0
Repository Radar Score
43 / 100
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- activity 75
- freshness 100
- community 49
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OpenABCode is an LLM-routing coding agent that dynamically routes development tasks to the best-suited models:
-
Google ecosystem development tasks are routed to Gemini.
-
Code review and testing are routed to ChatGPT.
-
All other development tasks are routed to Claude.
To learn more about OpenABCode:
- Visit openabcode.com, the project website
- Read the documentation
Install with the hosted installer:
curl -fsSL https://openabcode.com/install.sh | shOr use a package manager:
npm install -g @openabcode/coding-agent --ignore-scripts
bun install -g @openabcode/coding-agent
brew install matrixmapai/tap/openabcodeThen start OpenABCode:
openabcodeInside the interactive CLI:
/login Sign in to OpenABCode or another provider
/model Select fixed models and Route family models
/route-model Select the model that classifies Route tasks
/route Turn automatic task routing on or off
When Route is on, the footer shows the configured execution models. Every completed routing decision is also stored in the session JSONL for audit.
Route rules, heuristic keywords, file extension mappings, project markers, and the default provider can all be customized in ~/.openabcode/agent/settings.json (global) or .openabcode/settings.json (project-level). When a field is set, it fully replaces the corresponding built-in default.
{
"router": {
"rules": {
"openai": "Test and automation — algorithms, code review, testing, data analysis, scripting",
"google": "Google ecosystem — Android, Flutter, Firebase, Google Cloud, Kotlin",
"anthropic": "General development — all code writing, editing, debugging, architecture, UI"
},
"keywords": {
"openai": ["algorithm", "unit test", "benchmark", "data analysis", "pipeline"],
"google": ["android", "flutter", "dart", "firebase", "gcp"],
"anthropic": ["refactor", "debug", "architecture", "implement", "fix"]
},
"fileExtensions": {
".kt": "google",
".dart": "google",
".rs": "anthropic",
".ts": "anthropic",
".sh": "openai"
},
"projectMarkers": {
"pubspec.yaml": "google",
"cargo.toml": "anthropic",
"package.json": "anthropic",
"main.tf": "openai"
},
"defaultProvider": "anthropic"
}
}Each field is optional and independent — only configure what you want to override.
User prompt
-> @openabcode/coding-agent Route configuration and model selection
-> @openabcode/ai Classifier and provider API requests
-> @openabcode/agent-core Agent loop, state, and tool execution
| Package | Description |
|---|---|
| @openabcode/coding-agent | Route-first terminal coding agent CLI |
| @openabcode/tui | Terminal UI renderer behind OpenABCode's interactive editor, model selectors, Route footer, and session views |
| @openabcode/ai | Unified multi-provider LLM API (OpenAI, Anthropic, Google, etc.) |
OpenABCode does not include a built-in permission system for restricting filesystem, process, network, or credential access. By default, it runs with the permissions of the user and process that launched it.
If you need stronger boundaries, containerize or sandbox OpenABCode. See packages/coding-agent/docs/containerization.md for three patterns:
- Gondolin extension: keep
openabcodeand provider auth on the host while routing built-in tools and!commands into a local Linux micro-VM. - Plain Docker: run the whole
openabcodeprocess in a local container for simple isolation. - OpenShell: run the whole
openabcodeprocess in a policy-controlled sandbox.
See CONTRIBUTING.md for contribution guidelines and AGENTS.md for project-specific rules (for both humans and agents).
npm install --ignore-scripts # Install all dependencies without running lifecycle scripts
npm run build # Build all packages
npm run check # Lint, format, and type check
./test.sh # Run tests (skips LLM-dependent tests without API keys)
./openabcode-test.sh # Run openabcode from sources (can be run from any directory)We treat npm dependency changes as reviewed code changes.
- Direct external dependencies are pinned to exact versions. Internal workspace packages remain version-ranged.
.npmrcsetssave-exact=trueandmin-release-age=2to avoid same-day dependency releases during npm resolution.package-lock.jsonis the dependency ground truth. Pre-commit blocks accidental lockfile commits unlessOPENABCODE_ALLOW_LOCKFILE_CHANGE=1is set.npm run checkverifies pinned direct deps, native TypeScript import compatibility, and the generated coding-agent shrinkwrap.- The published CLI package includes
packages/coding-agent/npm-shrinkwrap.json, generated from the root lockfile, to pin transitive deps for npm users. - Release smoke tests use
npm run release:localto build, pack, and create isolated npm and Bun installs outside the repo before tagging a release. - Local release installs, documented npm installs, and
openabcode update --selfuse--ignore-scriptswhere supported. - CI installs with
npm ci --ignore-scripts, and a scheduled GitHub workflow runsnpm audit --omit=devplusnpm audit signatures --omit=dev. - Shrinkwrap generation has an explicit allowlist for dependency lifecycle scripts; new lifecycle-script deps fail checks until reviewed.
AGPL-3.0
Portions derived from Pi remain licensed under the MIT License. See NOTICE for attribution.
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- Maintained recently (last push 4 weeks ago).
Who should use it
- Developers working primarily with TypeScript
- Teams exploring AI tooling, agents, or ML infrastructure
- Early adopters evaluating emerging projects
Potential use cases
- Reference or evaluate TypeScript open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- Recent repository activity
- README present in our index
- Declared license: GNU Affero General Public License v3.0
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Young repository — popularity and maintenance patterns can change quickly
Strong signals: Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
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