Langkast
Summary
Six tabs open, none of them talking to each other — ChatGPT for drafts, Claude for rewrites, Gemini for research, and the documents somewhere else entirely. Langkast is built to collapse that sprawl into a single workspace.
The core workflow is model-agnostic chat with mid-conversation switching, document Q&A with page-level citations, agent building for repeating tasks, and scheduled workflow runs that trigger without anyone starting them. A team uploads a handbook once and gets cited answers instead of manual searches. Agents built by one person live in the shared workspace, so the whole team gets the version that works — not twelve slightly different prompt copies. The friction point is that there is no API and no self-hosted option, which means any team whose security policy requires on-premise infrastructure hits a hard wall immediately. The vendor states data is not used for model training and is fully exportable.
Bottom line: Pick Langkast when your team's problem is scattered AI work and tab overload — not when your compliance posture requires self-hosting or when you need to call Langkast's logic from your own application via API.
Pricing Plans
SubscriptionPro
Every frontier model, AI agents, chat with files and citations. Launch offer applies.
- Every frontier model
- AI agents for multi-step tasks
- Chat with files with citations
Pro Plus
Everything in Pro plus 3x usage and priority access to new models. Launch offer applies.
- 3x usage of Pro
- Priority access to new models
Pro Max
Everything in Pro Plus plus 7x usage and highest limits. Launch offer applies.
- 7x usage of Pro
- Highest usage limits
Team
Everything in Pro Max per seat plus SSO, roles, permissions, audit log, domain capture. Launch offer applies.
- Per seat pricing
- SSO SAML and OIDC
- Roles and permissions
- Audit log
- Domain capture
Enterprise
Custom pricing with data retention, volume discounts, SLAs, priority support, custom legal terms, dedicated onboarding.
- Custom data retention
- Volume discounts and invoicing
- SLAs and priority support
- Custom legal terms
- Dedicated onboarding
View full pricing on langkast.com →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
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Pros
Sign in to edit- Mid-conversation model switching without losing the thread, so you compare GPT and Claude on the same prompt without re-entering context or opening a second tab.
- Document Q&A with page-level citations, so answers about your handbook or contracts point back to the exact source — which means you stop manually hunting through files to verify what the AI said.
- Shared agent library in the workspace, so the prompt sequence one person figures out becomes reusable by the whole team instead of dying in a personal chat history.
- Scheduled workflow runs, so recurring tasks like weekly digests or inbox triage execute on a clock rather than depending on someone remembering to start them.
- Vendor states no training on your data and full data export available, so consolidating your work here does not create a lock-in you cannot undo.
Cons
Sign in to edit- There is no API. If your use case requires calling Langkast's agents or workflows from your own application or product, the path does not exist — teams with that requirement switch to a platform that exposes its logic programmatically.
- No self-hosted or on-premise option is available. A team whose security or compliance policy prohibits sending documents to a third-party cloud hits this wall during the evaluation stage, not after onboarding.
- Agent and workflow complexity caps are not documented publicly, which means teams building multi-step branching logic — where one agent's output routes to different next steps depending on what it returned — are making an architectural bet without knowing the ceiling before they hit it.
About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-08-17T05:12:12.450Z
Best For
Who it's for
- Startups and agencies managing AI across products
- Solo founders needing organized multi-model access
- Users building reusable agents and automations
What it does well
- Chat across multiple AI models in one interface
- Build and reuse AI agents for multi-step tasks
- Chat with documents and files with citations
- Automate workflows connecting tools and models
- Organize prompts, documents, and conversations centrally
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Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeFrequently Asked Questions
- Is Langkast free?
- Langkast has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Langkast open source?
- No — Langkast is a closed-source tool. Source code is not publicly available.
Curated lists that include this category
Scattered tabs and duplicated prompts
Six tabs open, none of them talking to each other — ChatGPT for drafts, Claude for rewrites, Gemini for research, and the documents somewhere else entirely. Langkast collapses that sprawl into one workspace with model-agnostic chat that supports mid-conversation switching, document Q&A that returns page-level citations, agent building for repeating tasks, and scheduled workflow runs.
How it works in practice
A team uploads a handbook once and receives cited answers instead of manual searches. Agents built by one person live in the shared workspace, so the whole team uses the same version rather than twelve slightly different prompt copies. The vendor states the tool runs on a subscription basis with a seven-day free trial.
Limitations to weigh
There is no API and no self-hosted option, so any team whose security policy requires on-premise infrastructure stops at the evaluation stage. Agent and workflow complexity caps are not documented publicly.
Who it is for / who should skip it
Startups, agencies, solo founders, and teams that need shared workspaces with centralized prompts, documents, and conversations will find the setup useful. Teams that must call agents or workflows from their own applications, or that cannot send documents to a third-party cloud, should skip it.