Odigos

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Introduction

Odigos records what runs inside every service, live, with nothing in your code, so engineers, AI agents and security teams get the evidence they need. Its example shows an agent investigating a revenue drop by dynamically instrumenting a function to find that a rule lookup came back empty.

The key idea is that an agent’s question is often not answered by existing telemetry. Odigos lets it collect the missing evidence from running code without waiting for an instrumentation release. Product areas include observability, security and coding agents.

Monitoring is the last line of a testing strategy: it catches what tests, reviews and staging missed. Wire its alerts into the same place your CI failures go, and when an incident reveals a gap, add a test or a synthetic check so the same failure is caught before release next time.

Features

1. No-code instrumentation: Nothing added to your code.
2. Dynamic instrumentation: Collect new evidence on demand.
3. AI investigation: Agents query production.
4. Security use cases: Evidence for security teams.

Pros

1. 14-day trial: Try before buying.

Cons

1. Pricing not public: Plans via the site.
2. Kubernetes focus: Best on containerised services.

Usage and Links (Example)

1. Start the 14-day trial.
2. Install Odigos in a cluster.
3. Connect your AI agent to investigate incidents.

Resources:

• Odigos website

Pricing

Prices were not listed on the website when checked on 11 November 2026; contact the vendor or sign up to see plans.

Recommended for?

1. Platform teams that cannot instrument every service by hand.

Conclusion

Odigos removes much of the instrumentation burden.

Pair it with your existing OpenTelemetry backend.

On CheckOps, Odigos is filed under the Production monitoring & observability stage. Related tools listed here include OpenTelemetry, Pixie, Datadog, Honeycomb, Grafana Tempo and Jaeger. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.