codework

agent
Security Audit
Warn
Health Warn
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Warn
  • process.env — Environment variable access in packages/aikit/examples/codemode-finance-csv/src/index.ts
  • process.env — Environment variable access in packages/aikit/examples/exa/src/index.ts
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This toolkit provides developers with a unified API for large language models along with a framework for building and managing agentic coding workflows.

Security Assessment
The overall risk is Low. The project does not request dangerous system permissions or execute highly sensitive shell operations. The scan flagged environment variable access, though this is restricted to example directories (`examples/codemode-finance-csv` and `examples/exa`), indicating it is intended for local configuration rather than malicious data exfiltration. There are no hardcoded secrets, though standard caution should always be applied when exposing local environment variables.

Quality Assessment
The project is actively maintained, with its most recent code push occurring today. It uses the standard, permissive MIT license, which is excellent for open-source adoption. However, community trust and visibility are currently very low. With only 5 stars on GitHub, the toolkit is clearly in its early stages, meaning it has not been widely peer-reviewed or battle-tested by the broader developer community.

Verdict
Use with caution, primarily for testing and experimentation, as the active maintenance and MIT license are positive, but the extremely low community adoption means it lacks proven reliability.
SUMMARY

AI agent toolkit for coding agents, unified LLM APIs, agentic workflows, tool harness and more.

README.md

CODEWORK

CODEWORK logo

Toolkit for building AI agents.

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Get Started

npm install @codeworksh/aikit

@codeworksh/aikit

Acknowledgements

This project was heavily inspired by the great work of Mario Zechner on Pi-Mono.

License

MIT

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