Middleware
Full stack observability whose OpsAI SRE agent detects issues across APM, RUM, logs and Kubernetes, traces errors to the line via GitHub MCP and opens or auto applies fix pull requests.
Middleware is a unified, OpenTelemetry native full stack observability platform whose OpsAI SRE agent works over its APM, RUM, logs, infrastructure and Kubernetes telemetry. OpsAI starts on issues it detects and on alerts from Middleware, Datadog or Grafana, runs root cause analysis down to the line of code, and proposes a fix.
For Kubernetes a person applies it with a single click in Auto RCA mode, or OpsAI applies it directly in Auto Fix mode, and for application code it opens a pull request through GitHub MCP, reading only the files related to the error and storing no source code. Middleware offers a Free Forever tier, usage based Pay As You Go pricing and a Bring Your Own Cloud plan, and shows SOC 2 Type II, ISO 27001, HIPAA and GDPR badges.
Vendor details
Canonical URL
https://middleware.io
Category
SRE / DevOps agent
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
OpenTelemetry native, with GitHub and Bitbucket via MCP, plus Datadog, Grafana and Kubernetes.
In practice
A Kubernetes pod keeps crashing in the middle of the night. OpsAI spots the issue, finds the root cause and either proposes a fix you apply with one click or, in Auto Fix mode, changes the Kubernetes object itself.
An error spikes in your Node.js service. OpsAI reads only the files tied to that error through GitHub, works out the cause and opens a pull request with the fix for your team to review.
Your alerts live in Datadog and Grafana. Middleware pulls those alerts into OpsAI and investigates with their metrics, logs and traces, without moving your data.
Sources & related URLs
Research sources
Agentic Index coverage score
8.0 / 14 capabilities · 57%
| Integrations & Tool Calling | Full |
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OpsAI acts in outside systems. For Kubernetes it can apply fixes directly, and it connects to the repo through GitHub MCP and opens pull requests. It ingests alerts from Datadog and Grafana beside Middleware's own telemetry, investigating with their metrics, logs and traces without a migration. Vercel is supported as a source too, and Slack carries conversations with OpsAI. SourceMiddleware, middleware.io/product/ops-ai and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Workflow Orchestration | Partial |
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OpsAI runs its own fixed sequence of detection, root cause and then a proposed fix, an automatic Kubernetes fix or a pull request. The Auto RCA or Auto Fix mode is the only setting. There is no workflow builder, branching or multiple agents. Auto Investigation runs the root cause step on its own across Kubernetes, APM and RUM using the telemetry already collected. SourceMiddleware, docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Knowledge Grounding & RAG | Full |
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OpsAI works over Middleware's persisted store of the customer's APM traces, RUM data, logs and Kubernetes telemetry, and reads only the files related to a specific error through GitHub MCP for source context. It can also investigate with the metrics, logs and traces held in Datadog and Grafana, and teams can query their observability data by talking to OpsAI. SourceMiddleware, middleware.io/product/ops-ai and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Human Oversight & Guardrails | Full |
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In Auto RCA mode, OpsAI suggests fixes for review and users apply the proposed fix with a single click, so a person commits each Kubernetes fix unless the team opts into Auto Fix, which modifies the Kubernetes object directly. Code changes arrive as pull requests with the suggested changes and the context needed for review, so developers keep control of code. SourceMiddleware, middleware.io/product/ops-ai, docs.middleware.io OpsAI overview and OpsAI for Kubernetesread 2026-10-05 |
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| Security, Identity & Governance | Full |
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SSO and security features come with the Pay As You Go plan, OpsAI's GitHub reads are scoped to the files related to an error, and Middleware displays SOC 2 Type II, ISO 27001, HIPAA and GDPR badges for OpsAI. OpsAI never reads the full codebase, and Middleware stores neither the source code nor the error context. SourceMiddleware, middleware.io/pricing, middleware.io/product/ops-ai and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Observability & Auditability | Partial |
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Each issue carries OpsAI's root cause analysis and a proposed fix with a side by side diff, and each pull request carries the context a reviewer needs. There is no record of the steps, queries or actions OpsAI took, and Middleware does not say whether Auto Fix actions are logged. SourceMiddleware, docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Memory & State Persistence | Not documented |
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OpsAI keeps no memory or context from one issue to the next. It does not store the customer's source code, and error context is not stored either. Each investigation draws on the telemetry already collected for that issue. SourceMiddleware, middleware.io/product/ops-ai and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Deployment & Data Residency | Full |
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A BYOC plan offers Bring Your Own Cloud deployment with custom data retention and custom pricing, beside the hosted plans, which keep data 14 days on the free tier and 30 days by default on Pay As You Go. For Kubernetes, the Middleware agent runs inside the customer's own cluster. SourceMiddleware, middleware.io/pricing and docs.middleware.io OpsAI for Kubernetesread 2026-10-05 |
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| Prebuilt Agents, Templates & Packs | Partial |
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OpsAI is a single ready to run agent, with detection across APM, RUM, logs and Kubernetes and two modes. There is no set of separate agents or templates to adopt. OpsAI covers Java, Node.js, Python, Go and Next.js on the backend and JavaScript and React in the browser. SourceMiddleware, middleware.io/product/ops-ai and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Triggers & Channel Coverage | Full |
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OpsAI starts on automatic issue detection across APM, RUM and Kubernetes and on alerts from Middleware or integrated platforms, taking the alert and pulling in stack traces and logs, as well as from a conversation. Alerts appear in the OpsAI listing, and teams can also start a conversation by mentioning @Middleware in Slack. SourceMiddleware, docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Model Flexibility & Routing | Not documented |
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Middleware names no model provider for OpsAI and offers no model choice. OpsAI is billed in OpsAI tokens by use, error detection is free, and the free tier includes 2 million OpsAI tokens. SourceMiddleware, middleware.io/pricing and docs.middleware.io OpsAI overviewread 2026-10-05 |
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| APIs, SDKs & MCP Extensibility | Partial |
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The platform has a Public API. OpenTelemetry and APM SDKs for Python, Go, Node.js, Next.js and Java send data in, and GitHub MCP is how OpsAI reaches out to the customer's repository, not a way into Middleware. Teams can also talk to OpsAI in Slack by mentioning @Middleware. SourceMiddleware, docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Testing, Debugging & Optimization | Not documented |
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OpsAI debugs the customer's application. There is no harness, scored tests, quality gate or improvement loop for the agent itself. In Auto RCA mode, each proposed fix comes with a side by side diff that a person checks before applying it. SourceMiddleware, docs.middleware.io OpsAI overviewread 2026-10-05 |
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| Browser & Computer Use | Not documented |
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OpsAI works through telemetry, Kubernetes and GitHub. The browser test runs in the pricing plans are synthetic monitoring of the customer's site, not an agent operating a browser. Sourcemiddleware.io/product/ops-airead 2026-09-29 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Product updates
OpsAI, the SRE agent in Middleware, now comes with built in skills: reusable instructions for investigations such as error analysis, latency troubleshooting, Kubernetes, databases and LLM observability. Users pick a skill by typing / in OpsAI chat, import or write their own, and the agent also chooses relevant skills on its own. A new project context setting holds notes on architecture, infrastructure and requirements that OpsAI applies to every new chat and issue investigation.
Bears on: Memory / state
View sourcePricing
Free Forever tier; Pay As You Go $0.30 per GB of metrics, logs and traces; BYOC custom
Per GB ingested, plus RUM sessions, synthetic checks and browser test runs; OpsAI root cause and fixes in tokens
What is public
The Free Forever limits, every Pay As You Go unit rate, retention by plan and the OpsAI billing basis; BYOC is custom and the OpsAI token rate sits behind a pricing calculator.
Cost watchouts
OpsAI root cause analysis and fixes consume tokens beyond the 2 million in the free tier, priced through a calculator rather than a published rate.
Variable cost rationale
Usage based pricing scales with ingested data, sessions and checks, and OpsAI root cause and fixes consume tokens by issue complexity.
Overage / add-ons
Pay as you go at the published unit rates beyond the free tier
Sales call required
Mixed (some tiers require a call)
Free / trial
Free Forever tier: 100 GB of data, 2 million OpsAI tokens, unlimited users, 14 day retention
Key ambiguities
Pay As You Go unit rates are published, but the OpsAI token rate sits behind a pricing calculator and BYOC is custom priced.
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Alternatives to Middleware
The closest documented capability profiles to Middleware among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Metoro9.0 / 14Fuller documented coverage on Workflow Orchestration and APIs, SDKs & MCP ExtensibilityMiddleware vs Metoro →
- Causely9.5 / 14Fuller documented coverage on Observability & Auditability and Prebuilt Agents, Templates & Packs
- Harness7.5 / 14Fuller documented coverage on Workflow Orchestration
- Anyshift8.5 / 14Adds documented Memory & State Persistence and Testing, Debugging & Optimization
- Better Stack9.5 / 14Adds documented Memory & State Persistence
- Bluebricks10.5 / 14Adds documented Memory & State Persistence and Testing, Debugging & Optimization
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded