Glean Alternatives

If you are weighing Glean alternatives for your team, here is the short version before the detail below. By Vinay Patankar · about a nine minute read.

In this comparison, we cover everything you need to pick the right Glean alternative, including:

• Glean alternatives at a glance
• What counts as a Glean alternative?
• How we compared these Glean alternatives
• What matters most in an AI coworker for Slack?
• Which Glean alternatives are the best right now?
• Where does Process Street fit with Glean alternatives?
• How can you switch from Glean without disrupting work?
• Final recommendation
• Try Dash free in Slack
• FAQs about Glean alternatives

Glean alternatives at a glance

The short version: Glean is strong for enterprise search, company context, and governed agents inside large organizations, so the best alternative depends on whether you need that enterprise knowledge layer or a faster AI coworker in team chat. If you want an AI teammate that works across Slack or Microsoft Teams and asks before it acts, Dash is the top pick. Glean Agents stay the direct benchmark for enterprise knowledge work. Lindy, Gumloop, Dust, Claude, and Zapier Agents each win a specific lane.

Tool	Best for	Standout feature	Free plan	Starting price
Dash	Teams that live in Slack or Microsoft Teams	Shared team memory with approval-first actions	$100 free credits	$50 per workspace per month after credit
Glean Agents	Enterprises with large knowledge bases	Enterprise context, agent builder, orchestration, governance, and library	Contact sales	Contact sales
Lindy	Individuals who want inbox, calendar, meeting, and follow-up help	AI assistant for email drafting, meeting scheduling, note taking, and follow-up	7-day free trial	Plus from $49.99 per month
Gumloop	Operators who want a visual AI workflow canvas	Unlimited agents, unlimited flows, connector policies, and guardrails	Yes, Free plan	Pro from $37 per month
Dust	Teams building shared agents on company data	Multiplayer agent workspace with tools and knowledge sources	Contact vendor	Contact vendor
Claude	Reasoning, writing, and analysis	Capable assistant for writing, analysis, and reasoning	Yes, free plan	From $20 per month
Zapier Agents	Broad cross-app automation	Agents that act across 9,000+ apps	Yes, free plan	Free plan, paid plans for more usage

What counts as a Glean alternative?

A Glean alternative is any AI assistant, AI coworker, or agent platform that helps teams find context, answer questions, and turn that context into work. Glean is strongest when a large company needs enterprise search, permissions-aware context, and governed agents. The alternatives on this page either move that agent experience into shared team chat, make workflow building more visual, focus on personal assistant work, or connect actions across a broad automation catalog.

The tools worth comparing fall into a few shapes. Some are AI teammates that live in chat and act across your stack, like Dash. Some are visual agent builders, like Gumloop. Some are collaboration platforms, like Dust. Some are enterprise search and agent platforms, like Glean Agents. Some are personal assistants, like Lindy. And some are general assistants, like Claude, or agent layers on a broad automation platform, like Zapier Agents. The right pick depends on where your team works, how many people need the assistant, and how much control you want before it does anything on your behalf.

For a buyer, that means Glean alternatives should not be compared as if they all solve the same job. Glean is closest to the enterprise knowledge and agent platform lane. Dash is closest to the chat-native teammate lane. Lindy is closest to the personal assistant lane. Gumloop is closest to the build-your-own agent workflow lane. Dust is closest to the multiplayer internal-agent workspace lane. Claude is closest to the reasoning and writing assistant lane. Zapier Agents are closest to the broad automation catalog lane. The winning choice depends on which lane matches the work you want to move out of human follow-up.

How we compared these Glean alternatives

We compared each Glean alternative against the same criteria, scored against each product’s current public documentation and pricing pages. Every price, plan, free-tier claim, and integration count on this page was checked against the vendor’s own site this week. Where a vendor does not publish a number, we say so instead of guessing. This comparison is built by the team at Process Street, and Dash is our own product, so we held it to the same criteria as everyone else and wrote an honest case for each competitor.

What matters most in an AI coworker for Slack?

Six things separate a genuinely useful AI coworker from a demo. Weigh them against how your team actually works before you pick.

• Where it works: a tool that lives in Slack and Microsoft Teams reaches the whole team where they already talk. An email-only or browser-only assistant helps one person at a time.
• Model neutrality: some assistants are locked to one model. Others can use whichever model fits the task, which matters as models keep changing.
• Connections: the assistant is only as useful as the tools it reaches. Count the integrations that matter to you, not the raw total.
• Finished output: does it hand back a real draft, report, or updated record, or just a chat answer you still have to act on?
• Shared context: a team-wide memory means everyone benefits when one person teaches the assistant something. Per-user memory does not.
• Control: the safest assistants ask for approval before they send, post, write, or spend, so a mistake is caught before it leaves the building.

Glean scores well when a large organization needs governed enterprise context. The alternatives that beat it for chat-first team work are the ones that bring context, tools, and approvals directly into Slack or Microsoft Teams without making a knowledge-search rollout the center of the purchase.

The most common mistake is buying for the hardest future problem before solving the everyday one. Enterprise knowledge governance matters, but many teams first need a coworker that can answer in the channel, draft the follow-up, pull the report, and pause before anything leaves the company. If the first pilot succeeds there, the knowledge layer can come later. If the first pilot starts with a broad platform rollout, adoption can stall before the team ever sees a finished piece of work.

Which Glean alternatives are the best right now?

Each deep dive below covers what the product is built for, the moment where it shines, and the realistic constraints to know before you buy. Dash is ranked first because it is the best fit for a team that wants an AI coworker in chat. Glean Agents are ranked second as the direct benchmark, then the peer set follows with the lane where each one beats Dash.

1. Dash

Best for: teams that live in Slack or Microsoft Teams and want an AI coworker that acts with guardrails.

Dash is an AI teammate that lives inside Slack and Microsoft Teams, connects to over a thousand tools, and does the work end to end. You ask in plain English in a channel or direct message, and Dash builds the report, drafts the message, pulls the numbers, or books the follow-up. It asks before it sends anything outbound, and the team’s context stays in the workspace rather than inside one enterprise search surface. Where Glean is built around enterprise context and governance, Dash is an AI teammate for the whole team’s day-to-day work.

Two things set Dash apart from most entries on this list. First, it carries a shared team memory. When the head of operations tells Dash that the company calls its top deals “Tier A”, every other person on the team gets that context for free. Second, Dash treats approval as a first-class step: an Approve and a Hold button appear on every outbound action by default, so you never have to remember to wire up a guardrail per task. That approval-first design is the difference between an assistant you can trust with real work and one you have to double-check every time.

That matters most in the messy middle of company work. A teammate asks for a pipeline summary, Dash pulls the numbers from connected tools, drafts the explanation, and posts the result back in the thread where the request started. A manager asks for a vendor comparison, Dash gathers the context, writes the memo, and queues the next action for review. A support lead asks for a weekly risk list, Dash turns the request into a finished operating artifact instead of handing back another answer that someone still has to translate into work.

Dash also has the right buying shape for teams that do not want an enterprise AI search rollout just to get useful agent help. You can start from the team chat surface, connect the tools that matter, and test real requests immediately. The control model is visible in the product experience: read-only work can come back in thread, but anything that sends, posts, writes, or spends is held for approval. That is why Dash is the default recommendation here for teams that want an AI coworker rather than a full knowledge platform purchase.

The buyer test is simple: if the assistant must understand the whole company before it can be useful, Glean deserves the deeper evaluation. If the assistant can be useful by acting inside the team’s existing chat channels with the right tool connections and a clear approval step, Dash gets you to value faster. That speed matters when adoption is the real test and the team needs proof from actual work this week, not promises.

Where Dash is honestly weaker: Glean is more directly tuned for enterprise knowledge search, permissions-aware retrieval, and governed agent rollout across large internal data estates. If that is the job, Glean is the direct benchmark. For a team that works in chat and wants shared context plus control over what the assistant does, Dash is the default choice because the approval step is part of the teammate experience.

2. Glean Agents

Best for: enterprises with large internal knowledge bases and governed agent programs.

Glean Agents are the direct benchmark for this page. Glean’s public product pages position the platform around enterprise context, more than 250 connectors, agent builder, agent orchestration, governance, library, and harness surfaces. That makes Glean strongest when a company already has a serious knowledge-management problem and needs AI agents that respect enterprise permissions and context.

Glean’s best-fit buyer is usually a larger company with scattered docs, wikis, tickets, messages, CRM records, and knowledge bases. In that environment, the first hard problem is not getting an assistant to answer in chat. It is making sure the assistant can retrieve the right internal context with the right permissions and then govern how agents reuse that context. Glean is built around that foundation, which is why it remains the direct benchmark for teams evaluating enterprise Work AI platforms.

The reason Glean is not the default recommendation for this page is not that it lacks depth. It has plenty of depth. The issue is fit. If your team already knows the handful of tools it wants an AI teammate to operate, and the work needs to happen in Slack or Microsoft Teams with human approval before any risky action, the enterprise-search layer can be more platform than you need. Glean is the stronger fit when the knowledge layer is the purchase. Dash is the stronger fit when the teammate in chat is the purchase.

The honest trade-off is rollout shape. Glean is better than Dash when the buyer wants an enterprise AI search and agent platform around a broad internal data estate. Dash is better when the team wants to work in Slack or Microsoft Teams, ask in plain English, and have the AI coworker pause before it posts, sends, writes, or spends. Stay with Glean if the core need is governed enterprise search and agent rollout. Move to Dash if the core need is a shared teammate in chat.

3. Lindy

Best for: individuals who want assistant help across inbox, calendar, meetings, and follow-ups.

Lindy is a personal AI assistant for coordination work. Its pricing page lists a 7-day free trial, Plus, Pro, and Max plans, plus assistant work across inbox management, meeting scheduling, meeting notes, meeting prep, and follow-up. Lindy is strongest when one person wants a broad AI assistant to reduce coordination work across email and meetings.

Lindy beats Dash when the buyer wants personal delegation rather than a shared team coworker. It beats Glean when the problem is one operator’s calendar, inbox, notes, and follow-ups rather than enterprise search. Dash fits better when the same assistant needs to work in team chat with shared memory and approval-first outbound actions.

4. Gumloop

Best for: operators who want a visual canvas for AI workflows and agent flows.

Gumloop is a visual AI agent builder where teams can create agents and flows, start on a Free plan with 5k credits per month, and move to Pro for more credits, unlimited seats, connector policies, guardrails, unified billing, and MCP server hosting. The product is strongest when the team wants to see and control the flow logic rather than simply ask a teammate in chat.

Gumloop beats Dash when the buyer wants a builder canvas, connector policies, and explicitly designed flows. Dash is better when the team wants to work in chat, ask in plain English, and have the AI coworker pause before it posts, sends, writes, or spends. Choose Gumloop if visual workflow construction is the priority. Choose Dash if the priority is a shared teammate in Slack or Microsoft Teams.

5. Dust

Best for: teams building shared agents on company data.

Dust describes itself as a multiplayer AI platform for human-agent collaboration. Its docs focus on agents that use tools and knowledge from company data sources, including actions such as search, structured extraction, and data-source-specific work. Dust is a strong fit when the team wants shared internal agents that operate with company context.

Dust beats Dash when the job is collaborative internal-agent building around company data sources. Dash beats Dust when the buyer wants an AI coworker in Slack or Microsoft Teams with simple approval-first action across everyday business tools. If your core question is who should act in team chat this week, start with Dash. If your core question is how to build a shared internal agent workspace, Dust deserves the shortlist.

6. Claude

Best for: reasoning, writing, and analysis.

Claude is Anthropic’s AI assistant, and it is excellent at writing, analysis, research, and agentic development help. It is available on the web and as apps, offers a genuine free plan, and its paid Pro plan starts from $20 per month. Claude beats every other tool on this list when the job is pure reasoning: reading a long document, comparing options, or drafting careful prose where the quality of the thinking is what matters.

The difference from an AI coworker like Dash is scope and surface. Claude is a superb general assistant, but on its own it is not a team teammate wired into your stack with a shared memory and approval buttons on outbound actions. Many teams use both: Claude for the reasoning-heavy thinking and a chat-based coworker for the day-to-day actions across tools. If your main need is a smart assistant for analysis and writing, Claude is a top choice.

7. Zapier Agents

Best for: broad cross-app automation across many tools.

Zapier Agents are AI agents that act across the Zapier automation platform, which reaches 9,000+ apps, the widest catalog on this list. You equip an agent with company knowledge and let it work across your connected apps. There is a free plan to start, with paid plans for higher usage. For a team that already runs on Zapier, layering agents on top of a mature automation library is a natural step.

Zapier Agents beat Dash on raw app breadth, since the Zapier catalog is larger than any single coworker’s. The trade-off is that the home is the automation builder, not a chat teammate with shared memory, and the approval and context experience is what you build into each automation rather than a first-class flow. If breadth of connected apps is your top priority, Zapier Agents are hard to beat; if you want a coworker that acts in chat with control by default, Dash fits better.

Where does Process Street fit with Glean alternatives?

Process Street is not itself a Glean alternative, and it does not belong in the ranked list above. It is the operational system that sits underneath an AI coworker and captures the repeatable work the coworker kicks off. When Dash or any assistant in chat starts a task, the checklist, the owner, the approval, the risk note, and the record of what was done still have to live somewhere durable. That is the job Process Street does, in two layers.

• Ops for workflow automation and orchestration. Process Street Ops turns recurring procedures into automated, auditable workflows, so the work an AI coworker starts becomes a repeatable process with owners and steps rather than a one-off chat.
• Docs for document and policy control. Process Street Docs is the governed home for SOPs and policies, so the assistant and the team are always acting on the current, approved version.
• Built-in AI and automations. The automation layer connects those workflows to the rest of your stack, and pricing scales with the team on the pricing page.

The pattern that works well is simple: let the AI coworker act in chat, and let Process Street hold the process underneath so the same work runs the same way every time. Common shapes that benefit from the pairing include a customer onboarding workflow, an employee onboarding checklist, a standard operating procedure template, and a clear approval process for anything that needs a sign-off.

That distinction matters because AI coworkers create a new operational risk. A teammate can answer quickly in chat, but the company still needs proof of what happened, who owned the next step, which policy applied, and where an approval was captured. Process Street turns those repeated handoffs into governed workflows so the output from the AI coworker does not disappear into a thread. Dash can help start and complete the work. Process Street makes the repeatable part of that work controlled.

For teams going deeper on this topic, useful starting points are a guide to building a workflow management system, a plain-English explainer on what AI agents are, a roundup of the best AI ops tools, and a broader overview of customer onboarding.

How can you switch from Glean without disrupting work?

You do not have to rip anything out to try a Glean alternative. Every option here can run alongside what your team uses today, so the safest move is a short pilot rather than a hard cutover. The pattern that works is two weeks, one team, one channel, both tools live, and the same five real asks run through each.

Pick tasks that expose the real differences. Use one request that needs knowledge retrieval, one that needs a draft sent for approval, one that needs a workflow handoff, one that needs a calendar or meeting follow-up, and one that needs a cross-app automation. Glean should shine on the retrieval-heavy task. Dash should shine on the chat-to-action task. Lindy should shine on the personal assistant task. Gumloop should shine when the logic needs to be visibly designed. That kind of pilot avoids abstract feature debates.

• Keep Glean for enterprise search: if governed retrieval across documents and systems is working, leave that in place and add a team coworker for chat questions and cross-tool actions.
• Pilot Dash in Slack: install it as a separate app, connect the two or three tools the team uses most, and run a real ask in the first hour. Compare the finished output, not the demo.
• From an enterprise platform: Glean’s search is hard to replace, so keep it for retrieval and bring a coworker in for action. They serve different layers.
• From a personal assistant tool: use Lindy for inbox, calendar, meeting notes, and follow-up help when one person needs delegation.
• Anchor the process: whichever assistant you keep, put the recurring work into a Process Street workflow so the steps, owners, and approvals stay consistent no matter which tool starts the task.

Final recommendation

For most teams shopping for a Glean alternative, the default is Dash: an AI coworker in Slack and Microsoft Teams that connects to over a thousand tools, carries a shared team memory, and asks before it sends, posts, writes, or spends. It is the best fit when you want the whole team to get help where they already work, with control built in.

Choose a different tool when its lane is your priority. Stay with Glean if the job is enterprise search, governed context, and agent rollout across a large knowledge base. Pick Lindy for personal assistant work across inbox, meetings, and follow-ups, Gumloop for visual AI workflow construction, Dust for shared company-data agents, Claude if you mainly want a reasoning and writing assistant, and Zapier Agents if raw breadth across thousands of apps matters most. The real question is where you want work to become controlled and repeatable, and for a team in chat, that is where an approval-first coworker earns its place.

A practical rule: if your first question is “where is the right company knowledge?”, evaluate Glean first. If your first question is “who can do this work in the team chat and ask before acting?”, evaluate Dash first. If your first question is “how do I design a multi-step agent workflow?”, evaluate Gumloop. If your first question is “how do I connect this to a huge app catalog?”, evaluate Zapier Agents. That framing keeps the decision honest and prevents a platform meant for one job from being forced into another.

Try Dash free in Slack

If Dash sounds like the right Glean alternative for your team, the setup is quick. Add it to a Slack workspace, point it at the tools your team uses, and have it run a real ask in the first hour, with an approval step on anything it sends.

FAQs about Glean alternatives