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Editorial snapshot from September 2026. Prices, models and interface labels may change; this is a practical guide, not a live product feed.
A minimal terminal coding agent with configurable providers, sessions and extension packages.
Coding agent · Earendil & contributors · macOS · Windows · Linux
Suitable workflows
Developers building a small, customizable agent workflow around their own tools.
Limitations and billing
Extensions can expand its permissions and behavior; the default tools can already edit files and run Bash.
Capabilities we verified
Agent workflow · CLI surface · Rules / instructions · Skills · Bring your own key
This is an evidence-based shortlist, not an exhaustive feature inventory. Omitted capabilities have not been checked for this record.
Pricing & usage
See official pricing
Free CLI; model-provider or optional service charges. The cost of metered usage or an external agent can be separate from the subscription.
Models & access
Supported provider API keys or account logins; check provider terms and current compatibility.
Verified families: Claude, GPT.
Install and start the CLI
npm and a supported model provider; the current package is published under @earendil-works.
npm install -g --ignore-scripts @earendil-works/pi-coding-agentOpen your project folder in a terminal, then run:
piAccount and authentication
Use /login to choose credentials, or provide the selected provider’s API key through its environment variable.
Project configuration and tools
AGENTS.md supplies context. /model chooses the model; /resume and /tree navigate saved sessions.
First task to try
Request an explanation of the repository and its checks before allowing a scoped edit.
Script usage
This example asks for a project summary. Tool permissions still apply; a prompt is not a sandbox.
pi -p "Summarize the project structure without modifying files."Related CLI tools
Aider — Terminal pair programming with repository maps, editable file context and Git integration.
OpenCode — An open-source coding agent with a terminal UI and configurable model providers.
goose — An open-source agent that connects model providers, MCP tools and repeatable recipes.
Project evaluation checklist
- Open a small, familiar project and confirm that your essential language tooling works.
- Give the agent one bounded change with an observable acceptance criterion.
- Review the diff, run the project’s checks and compare the result with your current workflow.
- Inspect usage after the task. Estimate a month of similar work, including any separate model or agent bill.
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