Releasesby GlyphAgent Ultra
Agent Ultra Agent Ultra is Exa Agent's highest-effort mode, built for large list building, deep multi-source research, and criteria that are hard to verify. Set effort: "ultra" on a run. Metered : billed at standard Agent usage rates, up to a default $20 per run. Set budget.maxCostDollars to change the cap.
Also shipped Sep 23, 2026Exa in September 2026 →
New features and improvements in Copilot for JetBrains
GitHub Copilot for JetBrains 1.18.0 brings AI-assisted tool approvals, more control over agent conversations, and shared skills and instructions for your organization. You can also review plans with the Codex agent and manage MCP tools with persistent controls.
Scalar and Batch Unity Catalog Python UDFs are now generally available
Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types. This release adds named handlers for row-at-a-time scalar UDFs, removes the five-UDF-call-per-query limit, and aligns scalar TIMESTAMP inputs with PySpark behavior.
Build governed data and AI apps without code (Beta)
You can now build governed data and AI apps without code. Genie App Builder authors apps in natural language, App Spaces enforce governance, and Serverless Micro Apps scale to zero when idle. See Governed agentic app building .
Non-deterministic aggregate functions are supported with dynamic table incremental refresh (General availability)
Non-deterministic aggregate functions such as approx count distinct , approx percentile , and approx top k are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. For incremental refresh, these functions are supported only in the SELECT clause. any value remains unsupported.
More ways to request and configure Copilot code reviews
GitHub Copilot code review now offers additional personal configurations to an expanded set of Copilot plans and an enterprise-level default setting. These improvements are now generally available: A dedicated personal settings page for automatic review and your default review effort An enterprise-wide default review effort setting for organization-owned...
Node 20 is no longer available in GitHub Actions
This is the final notification that Node 20 is no longer available on GitHub Actions runners. Runners now use Node 24 for JavaScript actions. The temporary ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION opt-out is no longer available. If you maintain a JavaScript action, update its runs.using value to node24 and publish a new release as soon as possible.
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Exa Agent and Exa Connect in MCP
Exa Agent and Exa Connect in MCP Exa Agent is now available within Exa MCP. Use it from Claude, Cursor, or any other MCP client when the task needs more than a single search call. Enable the Agent tool with https://mcp.exa.ai/mcp?tools=agent_run , then call agent_run to run the agent through completion and return its output.
Introducing Exa Connect
Introducing Exa Connect Exa Connect gives Exa Agent live access to the world's public and private data. It launched with Similarweb, Fiber.ai, Baselayer, Financial Datasets, Affiliate.com, Particle, Jinko, and Additional Partners. You attach them via dataSources on POST /agent/runs . Read the Exa Connect guide → · Announcement tweet →
Lite search, recommended search types, and search warnings
Lite search, recommended search types, and search warnings The search types we recommend are now lite , auto , and deep , and /search tells developers when a request doesn't do what they expect. lite is a new search type for latency- and cost-sensitive projects. Set type: "lite" on /search .
Dynamic Highlights (research preview)
Dynamic Highlights (research preview) Dynamic Highlights selects excerpts across the complete result set instead of treating each page independently. It gives more of the shared context budget to useful sources and gives less context to sources that only repeat information already returned.
Publication research
Publication research We significantly expanded and improved research over academic publications. 350M publications : search across an index of 350 million publications.
Introducing Exa Agent
Introducing Exa Agent We released a new class of frontier web research agents that are accessible via API. Exa Agent API supports parameters including a natural-language query, effort mode, outputSchema for structured outputs, and input.data to build upon an existing dataset. Read the Exa Agent API guide →
API Deprecation Notice
API Deprecation Notice We retired a few legacy items from the Exa API: /research endpoint : replaced by /search with type: "deep-reasoning" . resolvedSearchType and highlightScores (response fields) : returned null from April 15, removed May 1. startCrawlDate / endCrawlDate (deprecated request parameters) : silently ignored from April 15.
Introducing Exa Monitors
Introducing Exa Monitors Monitors run Exa searches on a schedule and deliver results to your webhook, deduplicated against previous runs so you only get new content. Track topics over time : competitor news, funding rounds, regulatory changes, research papers. Structured results : return plain text or typed JSON via outputSchema .