@anthropic-ai/claude-agent-sdk
Enables teams to automate code analysis, refactoring, and CI/CD workflows without building custom Claude integrations.
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
- Build an autonomous agent that reviews pull requests and suggests code improvements automatically.
- Generate a workflow agent that reads your codebase and identifies deprecated dependencies to update.
- Create an agent that analyzes test failures and attempts to fix broken unit tests in your repository.
Enables teams to automate code analysis, refactoring, and CI/CD workflows without building custom Claude integrations. Reduces time spent on repetitive development tasks while maintaining quality control through Claude's reasoning.
Engineering teams building internal automation tools and DevOps workflows that require codebase understanding and file manipulation.
https://www.npmjs.com/package/@anthropic-ai/claude-agent-sdk
By wolffiex
How to Get It
npx @anthropic-ai/claude-agent-sdk
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me build an autonomous agent that reviews pull requests and suggests code improvements automatically
Trust Signals Auto-scanned
Community Pulse New
- Claude Code Open Source? — Hacker News · 1 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,650 GitHub stars; contributors unknown; last commit 1d ago; license SEE LICENSE IN README.md.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 1,650 GitHub stars; contributors unknown; last commit 1d ago; license SEE LICENSE IN README.md.