A Langdock alternative for Slack teams: Langdock vs ChannelGate

Langdock and ChannelGate both let a team use AI agents in Slack, but they provide different ways to set up and operate that work. Langdock combines configurable agents, many model choices, integrations and workflows in one platform. ChannelGate runs Claude Code or Codex in a deployment you operate, with the conversation's files, memory and tool access governed by that deployment. The right choice depends on the work you need done and the boundary your company wants to own.

We build ChannelGate, so this comparison comes from one of the two vendors. It draws on Langdock's agent and deployment documentation and ChannelGate's public feature list. Langdock has strengths we cannot match, and those matter in the decision.

What does an AI agent in Slack need to do?

An agent in Slack is useful when a request can turn into work that the team can inspect. Imagine an operations lead asking for a project handover from current notes and task records. The agent needs the right sources, a way to prepare the document, and clear authority before it updates a CRM record or contacts someone. Another teammate should be able to correct the draft without repeating the whole brief.

That example reveals more than a list of model names. Check how the agent receives instructions, where its working files and conversation history live, what account it uses for an external action, and how people review the result. Both Langdock and ChannelGate can put an agent in Slack. Their documented ways of configuring agents and running work in a chat thread lead to different answers to those questions.

What can Langdock already do?

Langdock offers much more than a separate browser chat. Teams can configure agents with instructions, documents and actions, share them across a workspace, and use them through the Langdock Slack app or Microsoft Teams app. Its agents can reach native integrations and MCP tools, and Langdock documents confirmation flows for MCP actions. Calling it a product that makes everyone leave Slack, or one without approvals, would be inaccurate.

Langdock also provides workflows that combine agent steps with other steps and give operators a way to inspect runs. Its pricing page describes a Business subscription, included starter workflow capacity and optional packages for larger workflow or governance needs. The same page describes agent review and approval controls. These are substantive capabilities for a company rolling out AI across departments.

Model breadth is another reason to consider it. Langdock describes its platform as model-agnostic, whereas ChannelGate's fully supported agent choices are Claude Code and Codex. A team that wants many models behind a general employee-facing workspace should count that as a Langdock advantage.

What does ChannelGate do differently?

ChannelGate uses the actual Claude Code and Codex agent tools inside team conversations. A thread can choose the agent and model, subject to the connected provider account, while the channel supplies files, skills, memory and granted tools. This is a specific fit for work that benefits from a coding agent's file and tool workflow, including preparing a document from a folder, checking a repository or producing an artifact the team can open. It is not a claim that Langdock cannot write code or complete an operational task.

ChannelGate keeps persistent channel memory as Markdown and topic files in the deployment. Ordinary conversations run in separate rootless Podman containers. Operators set channel permissions and MCP grants, and the product distinguishes a person's connected account from a shared agent account. That distinction matters when the same Slack request could read a person's inbox or act through a company-owned CRM connection. Approval behavior still depends on the selected engine, mode and settings; describing every external action as automatically held for approval would be wrong.

The execution environment is yours to operate or to have Makeitfuture implement. That gives your team direct control over the workspace and memory, along with the responsibility for a Linux host, updates, backups and provider access. Prompt and relevant context still go to the selected model provider, and connected business apps use their own services. Self-hosting does not turn an authorized external request into an offline one.

How do the deployment choices compare for a smaller company?

Langdock's standard option is a multi-tenant service hosted on Microsoft Azure in the EU. It also offers a dedicated single-tenant service, deployment in a customer's cloud and on-premise Kubernetes hosting. Those options are real, and Langdock currently lists single-tenant service from 2,000 seats and own-cloud or on-premise deployment from 5,000 seats. A company with 50 to 500 employees should ask which option is available to its proposed account, rather than assume a bespoke deployment is included with a Business subscription.

ChannelGate's documented installation runs on a Linux host with rootless Podman and an account for the agent you choose. The host can be in an approved cloud or server environment. You or an implementation partner operate it. That is attractive when your organization wants to own the conversation workspace at its current size, provided someone will maintain the service. Read the deployment boundary before treating control of the host as control over every model or app request.

Where does Langdock have the better answer?

Choose Langdock when a managed, broad AI workspace is the main requirement. It offers a browser platform as well as agents in Slack and Teams, with wider model choice and a workflow builder designed for repeatable processes. Its published security program and EU-hosted standard deployment give procurement a mature vendor-managed route. ChannelGate's Microsoft Teams integration is Beta, so a team standardizing on Teams today should weigh Langdock's established app seriously.

Langdock is also the easier operational choice if your team wants the vendor to run the standard service. ChannelGate can be implemented with Makeitfuture, yet the resulting deployment still needs an operator and a recovery process. Those are real costs, even when the software license is free.

Where might ChannelGate fit better?

Consider ChannelGate when you want agent work organized around a shared Slack conversation and an environment your company operates. Its documented thread sessions, persistent channel memory and channel workspaces give the team a place to continue work and inspect files after the first answer. Claude Code and Codex bring their native file and tool workflows to that environment. You can see the chat and engine boundaries in the public documentation.

Its account distinction is useful when an operations task crosses personal and company systems. A request for my inbox uses the requester's connection; a company CRM action uses the intended shared connection after the account is chosen. The connection rules and channel permissions are explicit rather than implied by the wording of a prompt.

Langdock's public pages establish Slack access, MCP actions and confirmation flows. They do not give enough detail to settle how a specific shared Slack thread, repository task or account choice would behave in your setup. Treat those as pilot questions, not missing-feature claims.

Langdock vs ChannelGate at a glance

The Langdock agent, enterprise deployment and ChannelGate feature pages are the sources for this table. Check the current product terms before making a purchasing decision, especially where the required deployment is outside a standard plan.

What should you compare in a real pilot?

Use the same small workflow in both products. For example, ask for a project handover from a fixed set of notes and task records. Have a second person correct one missing owner and ask the agent to carry that change into the document. Then request a CRM update, inspect the proposed record and account, authorize it under your intended policy, and verify the saved result. This is an evaluation exercise, not a claim about a customer deployment.

Ask the people running the pilot to record five things:

1. Where do the request, draft, source files and later corrections live?
2. Can another authorized teammate see the work and continue it in the same Slack conversation?
3. Which identity reads each source and acts in the CRM, and can that choice be reviewed before the action?
4. What approval and audit record appears for the attempted change?
5. Who updates, backs up and restores the service, and which external model or app receives the data?

The ChannelGate project handover walkthrough shows the user-facing shape of that test. The exact permissions and outputs depend on how either product is configured, so use the same inputs and review criteria for both.

Which should your team choose?

Choose Langdock if your priority is a managed platform for many models, configurable agents and workflows across your company, with Slack and Teams access. Its own-cloud and on-premise paths are available at the published enterprise seat thresholds. If the standard EU-hosted service meets your needs, it removes a substantial operating task from your team.

Choose ChannelGate if your priority is a customer-operated agent workspace in Slack, using Claude Code or Codex with visible channel files, memory, permissions and connected-account choices. Accept the Linux operations work and the narrower supported engine set as part of that choice. Makeitfuture can plan and implement the first workflow with your team; the selected model provider and connected apps remain external services when used.

You can test both against the same request. The pilot will answer the operational questions that neither vendor's feature page can answer for your company.

Frequently asked questions

Does Langdock work in Slack?

Yes. Langdock says its configured agents can be used through its Slack app, as well as inside Langdock and through its Microsoft Teams app. Test the particular channel and thread behavior your team needs during a pilot, because access to an app does not by itself define how a shared workflow is maintained.

Can Langdock use MCP tools and ask for confirmation?

Yes. Langdock documents MCP tool discovery and conversion into actions with confirmation flows. Its pricing page also describes agent governance controls. Review the confirmation policy for the exact integration and action your team plans to use.

Can Langdock run in our own cloud or on premises?

Yes, at the published enterprise thresholds. Langdock lists single-tenant SaaS from 2,000 seats and deployment in a customer's cloud or on-premise Kubernetes environment from 5,000 seats. Its standard multi-tenant service is hosted in the EU.

Does ChannelGate support any model we choose?

No. Its fully supported agent engines are Claude Code and Codex. Within either engine, available models depend on the connected provider account, and a thread can select an engine and model. Langdock offers a wider model menu for teams that need it.

How should we compare the total cost?

Start with your actual number of users, workflow volume and operating requirements. Langdock publishes seat pricing and optional packages. ChannelGate has published free license tiers, while the host, model subscriptions or API usage, operations and any Makeitfuture implementation are separate costs. Compare a year of running the same workflow, including the people who will maintain and review it, rather than only a license line.