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AI that learns with your team

Honeycomb Intelligence extends how your team uses AI to understand and improve your software in production. Grounded in high-cardinality observability data, your agents and Honeycomb agents can find, fix, and get ahead of production issues together, collaborating with your team on investigations and learnings.

Agents are only as good as the data they start from

Built on traces, not guesses

Garbage in, garbage out applies to agents too. Our agents, Canvas, and MCP start from high-cardinality traces, and every claim links to the query, trace, or deploy behind it.

Working between incidents

Most of the work that makes a system reliable happens when nothing's on fire. Team Agents work on the goals you turn on, checking releases and catching regressions in the background, and Anomaly Detection starts an investigation the moment a service changes.

Learning from shared context

Team agents build shared memories and learn from incidents. Everyone stays aligned with the Canvas interactive workspace for investigations.

See it in action

Team Agents are AI SRE agents that help you scale SRE outcomes, not just incident resolution. Give Team Agents goals and they work in the background: checking releases, investigating alerts, and remembering what they learn.

Artificial Intelligence Needs Honeycomb Intelligence

As AI agents get to work, Honeycomb Intelligence works towards goals you set, answers questions you have, and feeds production observability back to your agents. Grounded in rich data about your production environment, teammates and agents collaborate with shared context.

Team Agents (Early access)

Give goals to agents that work between incidents

Turn on a goal, and a Team Agent works on it in the background: watching deploys, catching regressions, and paying down reliability debt. Goals surface findings, and every claim in a finding links to the query, trace, or deploy behind it. You set the scope and how much the agent can do on its own, and anything it can't do alone arrives as a drafted next step for a person. Team Agents are available in early access.

Personal Agents

Go from a quick question to a full investigation

Your personal agent combines everything Honeycomb knows about production with your team's runbooks, skills, and systems, plus everything your Team Agents have found. Ask in Honeycomb or in Slack, open a finding and pick up where it left off, and correct the agent once so it remembers next time. The on-call engineer and the PM asking why checkout feels slow get the same expert.

Canvas

Investigate together, agents included

Canvas is where engineers and agents work the same investigation. Queries, evidence, and the agent's reasoning stay visible, so a conclusion is something your team can check. Each teammate works with their own agent, Canvas Connectors bring in source code, support tickets, and internal docs, and custom skills teach agents to follow the same runbooks as your best SREs.

Honeycomb MCP

Bring production context into your coding agent

Honeycomb's hosted Model Context Protocol (MCP) server lets Claude Code, Cursor, Amazon Q Developer, and other coding agents query, analyze, and visualize your traces, triggers, and SLOs in plain language, so fixes start from production evidence instead of a guess. Our open-source Agent Skills teach those agents to use Honeycomb the way our own engineers do.

Anomaly Detection

Find out something changed before your customers do

Anomaly Detection learns what normal looks like for each service with enough steady traffic to model, then flags real changes: more errors than usual, or a service that stops reporting. There are no thresholds to set. You get a notification in Slack, and Honeycomb starts an investigation in Canvas, so the "why" is already in progress by the time you open it.

We’ve never seen ourselves as just an observability vendor. We’ve been a partner in how teams work and continuously improve. How team agents and custom agents and other agents work together is the next frontier.

Christine Yen
Co-founder and CEO, Honeycomb
Christine Yen
O'Reilly Book

The second edition is here! Get your copy today

AI is changing the nature of software development. Observability is how you navigate this shift. Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain the core principles of observability and how to leverage it for your organization.


  • Download your free copy of the book
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  • Get access to 27 new chapters in over 600 pages