agent-ci and cagent-action
# Relationship: Complements These tools serve complementary purposes—Agent-CI provides a local execution environment for agents within GitHub Actions workflows, while cagent-action enables running specific cagent AI agents as steps within those same workflows, allowing users to orchestrate agentic AI tasks at different levels of abstraction.
About agent-ci
redwoodjs/agent-ci
Agent-CI is local GitHub Actions for your agents.
Replaces GitHub's cloud API layer with a local emulation that feeds jobs to the official GitHub Actions Runner binary, enabling ~0 ms caching via bind-mounts and step-level pause-on-failure debugging without full reruns. Supports standard actions like `actions/checkout` and `actions/cache` natively, runs against uncommitted working trees, and allows AI agents to fix failures and retry in tight loops without pushing commits.
About cagent-action
docker/cagent-action
A GitHub Action for running cagent AI agents in your workflows.
Executes Docker Agent AI instances with automatic binary provisioning and built-in secret leak detection across Anthropic, OpenAI, Google, AWS Bedrock, and other LLM providers. Includes specialized support for automated PR reviews via multi-agent workflows with feedback learning, plus prompt injection detection and automatic security incident creation on credential exposure.
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