Glean Agents: Features, Pricing, and Comparison in 2026

With Glean Agents, your team can automate routine work without starting from scratch. For example, one HR manager used a Glean Agent to automatically generate onboarding checklists for new hires, saving several hours each month. Glean Agents use your company’s connected data and follow strict permission settings-so users only access what they’re allowed to. Launch one fast with a template or customize your own using Glean’s visual builder or step-by-step editor.

This guide covers the basics: how Glean agents work, what changed in 2026, user feedback, pricing details, architectural limitations, and how GoSearch takes a different approach.

TL;DR

• What are Glean Agents? They help you move beyond simple search by letting you automate multi-step business tasks-like summarizing support tickets or updating sales records-while keeping company data secure.
• What’s new in 2026: Glean now lets builders create agents from coding tools like Claude Code and Cursor, supports Agent2Agent (A2A) interoperability, and has agent evals in private beta.
• Why do users choose Glean Agents? Many teams say they appreciate how easy it is to set up and share agents, especially since they can use them directly in Slack, Teams, and other daily tools.
• What users push back on: Cost, setup effort at larger companies, occasional accuracy gaps, and workflows that some reviewers want to be more advanced.
• Who should use Glean Agents? Because Glean Agents require a full search deployment and use per-seat and usage pricing, they’re ideal for large enterprises seeking scalable automation, but may be more than smaller businesses need.
• Where GoSearch fits: GoSearch offers fast setup, native and federated connectors, no-code automation, and hands-on support that customers often mention in reviews.

What are Glean Agents?

Glean Agents go beyond traditional search. For example, a Glean Agent can collect data from connected apps, analyze it, generate summaries, and even update information in other systems-automatically.

Two design choices define them:

1. They’re grounded in Glean’s index. Agents retrieve company knowledge through the same search layer Glean customers deploy for employees.
2. They respect source permissions. An agent run is scoped to the user’s access, so it can’t surface content that person couldn’t already open.

You can use agents from the Agent Library-pre-built templates for teams like engineering, sales, or support-or build your own with Agent Builder. The builder lets you describe your goal and get a draft agent or use a visual editor for more control.

How do Glean agents work?

Custom agents are built from a few core pieces:

• Triggers start the agent: a manual run, a schedule, or an event in a connected system.
• Steps are the building blocks of actions, such as searching, sending a message, or updating a record.
• Actions handle tasks such as pulling information from Salesforce or sending a summary to Slack.
• Flow controls branching and handoffs, including sub-agents for specialized parts of a task.
• Memory carries each step’s output forward so later steps can reuse it.

You can adjust advanced settings such as model choice and the agent’s creativity, giving you control over quality, speed, and cost.

What’s new with Glean agents in 2026?

Glean has shipped quickly this year. The changes that matter most to buyers:

• Building from coding tools. Technical teams can author, preview, and iterate on agents from tools like Claude Code and Cursor, sync them through Git, and have admins manage them like any other agent.
• A2A interoperability. Glean agents can coordinate with agents built on other platforms through the Agent2Agent protocol.
• Agent evals (private beta). Builders can test an agent against generated scenarios before rolling it out.
• Governance policies. Admins can combine access, behavior, and usage-limit rules into one policy scoped to specific groups or agents.
• Agents in the browser extension. An August 2026 release added an Agents tab to the extension’s side panel, so people can run agents while they browse.

Glean has grown quickly-Sacra estimates $200M in annual recurring revenue by late 2025, driven in part by its agent builder. The key question for buyers is whether the pricing and packaging fit your needs.

What can you build with Glean Agents?

Here are a few ways real teams use Glean Agents:

• Creating meeting recaps with summaries and action items-one customer cut their manual meeting notes workload in half.
• Generating competitive briefs from internal company data.
• Following up on support tickets based on ticket history, freeing agents from repetitive lookups.
• Reviewing code pull requests using company codebase context to speed up engineering cycles.
• Running content audits-like reviewing SEO articles against a checklist-so marketers can focus on strategy instead of manual checks.
• Automating sales outreach, compliance checks, or finance workflows. One finance team built a Glean Agent that automatically flagged unusual transactions during monthly closes.

What do users say about Glean agents?

User feedback is mostly positive. For instance, a support lead said, “We were able to get our first agent running in under an hour-no training needed.”

What users like

• Easy to create and share. As one AWS Marketplace reviewer put it: “Agents are the best feature-they’re so simple to build, and my team could adapt shared agents right away.”
• Work well with daily tools. The same reviewer said Slack integration made agents a natural part of their team’s workflow.
• Perform best with clear instructions. Teams found that agents work especially well when given a specific, well-defined task, such as “summarize this week’s support tickets.”
• Glean averages 4.7 out of 5 on G2, with reviewers praising its ease of setup and the quality of its support team.

Where users push back

• Cost. Pricing is the most common complaint in independent reviews, especially for smaller companies. (More on this below.)
• However, some reviewers mentioned that setup can take longer in large organizations with many integrations.
• A few users noted that answers can be inaccurate or the interface confusing at times. Since Glean is search-first, some workflows still end with a person completing tasks in other systems.
• One reviewer said they hoped future updates would allow for more advanced and flexible workflows.

Note that some of these roundups come from vendors in adjacent categories, so weigh them alongside first-party reviews on G2 and your own pilot.

How much do Glean agents cost?

Glean doesn’t publish prices, so every figure here comes from third-party reports and Glean’s documentation.

• Licensing: Glean is moving customers to Enterprise Flex, a per-user, per-month seat plus a pooled allowance of usage-based FlexCredits. A seat includes up to 100 Thinking or Adaptive Reasoning queries per user per week on standard models. Advanced usage beyond that draws down credits, and agents that use higher-tier models consume more credits.
• Contract size: Across 174 purchases, Vendr’s data (as summarized by Macha, September 2026) puts annual contracts between about $29,880 and $208,897, with a median near $98,890.
• Per-seat estimates: Other sources report roughly $50 (now $75) per user per month or more, often with a minimum around 100 seats. Figures vary by source and negotiation.

The practical takeaway: with seats plus consumption, agent costs are harder to forecast than a flat license. Ask for the credit rate card and a usage estimate for your three most important agents before you sign.

Where Glean agents hit limits

Glean agents work best when a team already wants, or already has, Glean’s full search platform. That creates a few tradeoffs:

• Search comes first. Agents rely on Glean’s search infrastructure, so teams that mainly want agents still deploy the search layer.
• Cost visibility. Seats plus credits mean agent-heavy usage can grow spend in ways that are hard to model up front.
• Time to value. Reviewers describe setup as heavier at larger organizations, which delays the first useful agent.
• Customization. Reviewers report that the platform can feel limited when a team needs something unusual.

None of these is a flaw for every buyer. They’re the questions to answer in a pilot.

What should you look for in an agent platform?

Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027, citing escalating costs, unclear business value, and inadequate risk controls. It also warns about “agent washing,” where vendors relabel assistants and chatbots as agents, and estimates only about 130 of the thousands of vendors are real. At the same time, it forecasts that 33% of enterprise software will include agentic AI by 2028, up from under 1% in 2024.

That points to five practical evaluation criteria:

1. Connectivity: How many of your tools connect, and how quickly? Can agents reach data through indexing, federation, and MCP?
2. Permissions: Does every agent run with honor-source-system access, with admin controls?
3. Cost predictability: Can you model spend before rollout?
4. Time to value: How long until a non-technical team has a working agent?
5. Support: Who helps when a connector or agent misbehaves?

What is GoSearch?

GoSearch is an agentic enterprise search platform from the makers of GoLinks. It finds answers across the apps your team uses, connects the dots between them, and takes the next step through agents and workflows.

How it’s built:

• Meets your data where it lives. GoSearch uses native indexing, federated connectors, and MCP support, so you don’t have to reshape your stack to get unified search and AI. It offers 100+ natively built, MCP, and custom connectors.
• Permission-aware. Agents and answers respect who is allowed to see what, and admins can verify current resources and suppress outdated or sensitive content to keep results accurate.
• No-code agents. Create agents from natural language or pre-built templates, choosing the model, connectors, and web search access for each one, then share them across teams.
• No-code workflows. Chain agents and apps into multi-step automations using natural language or a drag-and-drop builder.
• Works where people work. Agents are available on the web, in chat, and in a browser extension.
• Flexible on models and deployment. Choose the model for each task, with options for your own LLM key and bring-your-own-cloud.
• Security and compliance. SOC 2 Type II and GDPR, with recurring annual penetration tests.
• Easy to try. A free personal plan lets you test federated search and a personal agent before you scale to Pro or Enterprise.

What GoSearch customers say

The theme in GoSearch feedback is how quickly it connects and how responsive the team is.

One G2 reviewer titled their review “Easy Enterprise Connections with Fantastic, Responsive Support”, calling out how easy it is to connect to other enterprise resources.

On results, Model N’s VP of Global Customer Support reports a 47% productivity boost across support operations after adopting GoSearch.

Glean agents vs. GoSearch agents

	Glean agents	GoSearch agents
Starting point	Enterprise search platform with agents on top	Agentic enterprise search with agents and workflows on top
Agent builder	Conversational and graph-based builder, plus code-based building from coding tools	No-code builder from natural language or templates, plus a drag-and-drop workflow builder
How data is accessed	Indexed data with runtime permissions	Native indexing, federated connectors, and MCP
Connectors	100+ (mostly indexed); which cause a security risk and cost to store data	100+ hybrid (federating, MCP and indexed)
Permissions	Source-system permissions enforced at runtime	Permission-aware retrieval and governance
Where agents run	Web app, browser extension, chat tools, API	Web, chat, and browser extension
Model choice	Per-step model and temperature selection	Choose the model per task; bring your own LLM key (support for Claude, ChatGPT, Grok, Gemini)
Interoperability	A2A support; build from Claude Code and Cursor	MCP support and custom connectors
Pricing model	Per-user seat plus usage-based credits; not published	Free, Pro, and Enterprise tiers; Enterprise is custom
Strengths	Deep platform, large customer base, fast-moving roadmap	Fast connection, responsive support, flexible retrieval

Which should you choose?

Glean may be the better fit if you’re a large enterprise that wants a single broad platform, has the budget and implementation capacity for a full deployment, and wants developer-oriented building paths such as A2A and coding-tool authoring.

GoSearch may be the better fit if you want agents grounded in company knowledge without a long rollout; you need to connect a mix of indexed, federated, and MCP-accessible tools; you value hands-on support; or you want to start small and scale. The best test is the same for both: pick two or three real workflows, run a pilot, and measure time to a working agent, answer quality, and cost.

See GoSearch agents in action

Want to see how a GoSearch agent connects to your tools and takes action? Explore GoSearch agents or start with the free plan.

Glean Agents Frequently Asked Questions