OpenSRE vs Tracer OpenSRE
OpenSRE — the memory-first AI SRE (opensre.in). Not affiliated with Tracer / opensre.com.
Last updated: 2026-07-29
| Capability | OpenSRE (opensre.in) | Tracer OpenSRE (opensre.com) |
|---|---|---|
| Product shape | Self-hosted team investigation platform | Fast path is local CLI investigation toolkit |
| Episodic memory | Neo4j episodic memory across investigations | Not a first-class team memory product |
| Knowledge graph | Service topology + blast radius | Not a first-class Neo4j topology product |
| Team UX | Web console + Investigations | Gateway/API oriented; org connectors via Cloud |
| Chat | Slack + Microsoft Teams | Slack-oriented messaging path |
| Team self-host | Full stack (agent, config, memory, KG, UI) | OSS gateway/CLI deploy; org-wide connectors via Cloud |
| Org control plane | Hierarchical org→team config in your deploy | Org-wide shared connectors via app.tracer.cloud |
| Telemetry defaults | No third-party analytics required | Opt-out third-party telemetry in OSS CLI |
| License (OSS) | Apache 2.0 | Apache 2.0 |
| Home | https://opensre.in | https://opensre.com |
Memory-first investigations
OpenSRE at opensre.in is built around episodic memory. Every investigation becomes a structured episode — root cause, alert type, affected services — stored in Neo4j and recalled on the next similar incident. Teams get compounding institutional knowledge across threads, not a one-shot session that forgets. That is the memory-first AI SRE wedge: investigate once, remember forever.
Knowledge graph for blast radius
OpenSRE at opensre.in ships a Neo4j knowledge graph for service topology. During an investigation, agents walk dependencies, map blast radius, and ground diagnosis in how your systems actually connect. Topology context turns generic AI answers into system-aware RCA your on-call team can trust.
Built for teams, not only a laptop CLI
OpenSRE at opensre.in is a team investigation platform: web console with Investigations, Slack and Microsoft Teams chat entry points, and hierarchical org→team config in your own deploy. The product shape is shared on-call workflows — not a solo laptop toolkit as the primary path.
Self-host the whole product
With OpenSRE at opensre.in you self-host the full stack — agent, config-service, episodic memory, knowledge graph, and web UI — under Apache 2.0. Team features do not require a commercial control plane. Tracer's org-wide shared connectors route through Cloud at app.tracer.cloud; both projects license their OSS as Apache 2.0.
Try OpenSRE at opensre.in
Run the memory-first AI SRE on your infrastructure. No account required.