OpenSRE
OpenSRE provides an open-source AI SRE agent that automates CI/CD reliability, including fixing broken builds, tracing root causes, and opening pull requests before engineers are paged. The agent operates at the OS level to correlate signals across observability, code, and chat systems, and is self-hosted under Apache 2.0 to keep production data on the customer's infrastructure. It measures failure rate, blocked developer time, and time main stays red to quantify CI costs.
- AI Agents
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Production engineering teams lose significant time manually investigating alerts, correlating telemetry across disconnected systems, and patching issues under on-call pressure. This reactive workflow delays fixes, increases operational burden, and diverts engineers from building long-term solutions.
Solution
OpenSRE offers a completely open-source AI SRE agent that automates production maintenance end-to-end. It handles CI fixes, security patches, and incident triage in one unified engine, tracing root causes, opening pull requests, and writing summaries automatically. The agent is opinionated rather than open-ended, using pre-built skills that connect to a company's observability, code, and chat systems. All operations are self-hosted under Apache 2.0, ensuring no production context leaves the customer's infrastructure and no vendor lock-in. The platform is designed to be live within two minutes of connecting the stack.
Target Audience
Primary customers are production engineering and SRE teams at software companies that need to reduce on-call toil and automate incident response, particularly those in data-intensive or bioinformatics environments with complex workloads.
Features
- Pre-built skills for production maintenance, including CI fixes, security patches, and incident triage, all running on the user's own infrastructure
- Automated root cause analysis that separates CI-caused failures from code-caused ones, ensuring tests get sorted, not rerun
- Measures failure rate, blocked developer time, and how long main stays red to provide clear cost insights
- Investigates at the OS level, the only layer where all signals converge, enabling self-diagnosing production systems
- Self-hosted deployment under Apache 2.0, ensuring no production context leaves the customer's infrastructure and no vendor lock-in
- Integrates with observability, code, and chat systems to automate investigation and recommend fixes before paging