Fullstory Has Launched AI Agents for Session Analysis
The company introduced tools that allow AI coding agents to retrieve live behavioral context for troubleshooting.
Updated on Sept. 29, 2026 in Artificial Intelligence
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Fullstory has introduced Fullstory MCP, StoryAI Agents, and Agentic Session Review to automate the identification of user experience issues. These tools enable AI coding agents to access live behavioral data directly from terminal sessions.
Why it matters
By providing AI tools with live behavioral context, developers can perform automated session investigations and identify process stalls more efficiently. This integration helps bridge the gap between AI coding assistance and real-world user interaction data.
The suite includes tools such as review-open, review-zoom, review-snapshot, and review-close. The mobile update also adds auto-generated selectors with support for Flutter and Compose Multi-Platform environments.
The players
Fullstory
Fullstory is a digital experience intelligence platform that provides tools for observing, analyzing, and improving user behavior on websites and mobile applications.
The details
Agentic Session Review allows AI agents to read semantic event maps and compare state across timestamps to diagnose issues. Additionally, Workflow Intelligence utilizes browser-based data capture to detect automation opportunities within production environments.
Timeline
September 29, 2026: Fullstory announced the release of new product capabilities.
The Tech Race
This release follows the industry-wide trend toward adopting the Model Context Protocol to standardize how AI agents interact with external data sources. It marks a significant shift from simple monitoring to agent-native observability where AI actively participates in code debugging.
Developers and engineers can now integrate session URLs directly into their existing workflows with tools like Sentry, Datadog, and Intercom. This reduces the time spent switching between diagnostic platforms when resolving complex user interface bugs.
The takeaway
The move toward agent-native observability suggests that future development cycles will rely heavily on AI's ability to self-diagnose production issues using live user data. Engineers should look to incorporate these new MCP tools to automate their incident response and session review processes.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
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