Tracer-Cloud/opensre
Build your own AI SRE agents. The open source toolkit for the AI era.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #97 of 2,845 repositories GStars tracks this week (top 3%).
4 releases in the last 90 days, the latest 107 days ago, with 356 contributors on GitHub.
Peaked at #16 in the weekly ranking the week of Apr 19, its best in the past year.
Use Cases & Benefits
- Build customizable AI site reliability engineering agents to investigate and resolve production incidents using an open-source Python framework.
- Enables scalable, evidence-backed root cause analysis and automated remediation by integrating with 40+ cloud tools and observability platforms.
- Use for automating incident investigation and root cause analysis across complex cloud infrastructure including Kubernetes and AWS services.
- Use for training and benchmarking AI agents with synthetic and real-world incident simulations to improve production failure response.
- Use for integrating AI-driven incident response workflows with communication tools like Slack and PagerDuty to streamline alert management.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
OpenSRE: Build Your Own AI SRE Agents
The open-source framework for AI SRE agents, and the training and evaluation environment they need to improve. Connect the 40+ tools you already run, define your own workflows, and investigate incidents on your own infrastructure.
When something breaks in production, the evidence is scattered across logs, metrics, traces, runbooks, and Slack threads. OpenSRE is an open-source framework for AI SRE agents that resolve production incidents, built to run on your own infrastructure.
We do that because SWE-bench1 gave coding agents scalable training data and clear feedback. Production incident response still lacks an equivalent.
Distributed failures are slower, noisier, and harder to simulate and evaluate than local code tasks, which is why AI SRE, and AI for production debugging more broadly, remains unsolved.
OpenSRE is building that missing layer:
an open reinforcement learning environment for agentic infrastructure incident response, with end-to-end tests and synthetic incident simulations for realistic production failures
Our mission is to build AI SRE agents on top of this, scale it to thousands of realistic infrastructure failure scenarios, and establish OpenSRE as the benchmark and training ground for AI SRE.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+3,110 stars over 86 days across 26 snapshot days; best day +192 on Oct 8.
Forks
1.7K+531
Open issues
66-43
Compared with peers in Monitoring
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| Tracer-Cloud/opensre | 11.9K | +496 | 59 | 107 days ago |
| grafana/grafana | 77.3K | +47 | 75 | 2 days ago |
| ClementTsang/bottom | 14.1K | +0 | 75 | 8 days ago |
| teslamate-org/teslamate | 9.2K | +0 | 75 | 23 days ago |
| aceberg/WatchYourLAN | 7.6K | +0 | 10 | 397 days ago |
| coze-dev/coze-loop | 5.8K | +0 | 75 | 275 days ago |
| Category median | 9.2K | +0 | 75 | — |
Discover Repositories
Search across tracked repositories by name or description