Comparison · August 2026
Meet the free Langdock alternative
That lets you own your AI Workspace. With Navigator your AI Strategy becomes future-proof.
Open source on GitHub · EU, zero-retention or your own servers · No seat licence when you self-host
A better alternative to Langdock
keinsaas Navigator and Langdock are both AI platforms with a great user experience, so what sets them apart? Choosing the right platform is critical. Learn why forward thinking companies are choosing Navigator.
Open source, not just self-hostable
Langdock Enterprise runs on your Kubernetes cluster — but it's still a closed binary you licence. Navigator's source is public. Read it, audit it, change it, fork it, keep running it after you stop paying us.
Built around your processes
Generic workspaces hand every department the same blank chat box. We map how your marketing, legal and sales teams actually work, then build the agents, tools and workflows around that — department by department.
Any model, including your own
Point Navigator at any endpoint you control, including small models fine-tuned on your own company data. That is where cost and data sovereignty are heading, and it is not a feature you want gated behind a vendor's model list.
Automations non-technical people can actually build
Describe a manual process in plain language and the workflow generator builds the automation. Multi-step workflows are cheaper and more reliable than pointing one agent at a complex task — and nobody needs to learn a builder UI.
Langdock vs Navigator, all features
Why choose Navigator over Langdock
| Langdock | keinsaas Navigator | |
|---|---|---|
| Source code | Closed | Open source |
| Self-hosting available to | Enterprise tier, ~1,000+ seats | Any size, day one |
| Licence cost when self-hosted | Per-seat, custom contract | €0 |
| Cloud licence, first 50 seats | €29/seat/mo | Pay-per-use credits |
| Deployed in your infrastructure | Enterprise contract | €8/seat/mo (10+ seats) |
| Model access | Included, fair-use capped | Metered, at cost |
| When you hit the limit | Falls back to GPT-5.6 Luna | Nothing — you set the cap |
| Who sets the ceiling | 5-hour and weekly windows | Your budget, per agent or workspace |
| Why a cheaper model runs | Your quota ran out | The task didn't need a bigger one |
| Workflow automation | Separate workspace module | Included |
| Bring your own models | BYOK: your keys, their model list | Any endpoint, incl. fine-tuned |
| Automatic model routing | Manual model pick | By risk and complexity |
| Workflows from a plain-language description | Manual builder | |
| Workspace built around your processes | Out of the box | Forward-deployed with you |
| Per-department build-out | Self-serve setup | Built with your teams |
| Skills, Projects, RAG, MCP, API | ||
| EU hosting | Frankfurt | EU, zero-retention or your own |
| Audit or modify the code | ||
| If you stop paying | Access ends | Self-hosted keeps running |
- Source codeOpen sourceClosed
- Self-hosting available toAny size, day oneEnterprise tier, ~1,000+ seats
- Licence cost when self-hosted€0Per-seat, custom contract
- Cloud licence, first 50 seatsPay-per-use credits€29/seat/mo
- Deployed in your infrastructure€8/seat/mo (10+ seats)Enterprise contract
- Model accessMetered, at costIncluded, fair-use capped
- When you hit the limitNothing — you set the capFalls back to GPT-5.6 Luna
- Who sets the ceilingYour budget, per agent or workspace5-hour and weekly windows
- Why a cheaper model runsThe task didn't need a bigger oneYour quota ran out
- Workflow automationIncludedSeparate workspace module
- Bring your own modelsAny endpoint, incl. fine-tunedBYOK: your keys, their model list
- Automatic model routingBy risk and complexityManual model pick
- Workflows from a plain-language descriptionManual builder
- Workspace built around your processesForward-deployed with youOut of the box
- Per-department build-outBuilt with your teamsSelf-serve setup
- Skills, Projects, RAG, MCP, API
- EU hostingEU, zero-retention or your ownFrankfurt
- Audit or modify the code
- If you stop payingSelf-hosted keeps runningAccess ends
Langdock figures from Langdock's own published price breakdown and usage-limit documentation, August 2026. Where we could not confirm that a capability is absent, the cell says what is documented rather than claiming a gap.
Total cost of ownership
What 50 seats cost per year
Langdock's seat price includes model access, so this is not a per-token comparison. It is a fixed bill that stands whether your team uses it or not, against a metered one you put a ceiling on.
50 seats · annualised from the monthly list price · Langdock's first tier at €29/seat
Langdock
Business, models included
- Seat licences (50 × €29 × 12)
- €17,400
- Workflow automation
- Separate module
- Model access
- Included, capped
Per year€17,400Fixed whether you use it or not — and capped when you do.
keinsaas Navigator
Deployed in your infrastructure
- Seat licences (50 × €8 × 12)
- €4,800
- Workflow automation
- Included
- Model access
- Metered, at cost
Per year€4,800 + usageYou set the ceiling, per agent or per workspace.
keinsaas Navigator
Open source, self-hosted
- Seat licences
- €0
- Workflow automation
- Included
- Model access
- Metered, at cost
Per yearUsage + hostingNo licence at all. You pay models and your own server.
Langdock's published tiers are €29 per seat for the first 50, then €24, €19 and €16 for later bands; annual billing takes 20% off. Prices and included-model terms as published by Langdock, August 2026. Navigator's €8 per seat applies from 10 seats when we deploy inside your infrastructure; the cloud version is pay-per-use credits.
Usage caps
What happens when you hit the limit
Langdock routes you to a cheaper model when your quota runs out. Navigator routes to a cheaper model when the task is simple. Same mechanism, opposite trigger — and seat pricing only works if usage is capped, because a fixed price per person is only predictable when the ceiling is fixed too.
Langdock
Included model access is metered against a 5-hour session window and a Monday-to-Monday weekly window. Cross either one and your messages fall back to a cheaper model unless you buy Extra Usage.
- The fallback in cloud workspaces without BYOK is GPT-5.6 Luna
- A workspace spend limit can trigger that fallback before your included usage is even exhausted
- The ceiling is set by the plan, not by you
- Stronger models burn the quota faster — so the better the model, the sooner the downgrade
keinsaas Navigator
There is no included-model quota to run out of, so nothing downgrades underneath you. You set a monthly budget per agent or per workspace, and you decide what happens at the edge.
- Hard caps pause agents and ping the owner; soft caps only notify
- Every task routes to the right model for its risk and complexity — a cheap model runs because the work is routine, never as a penalty
- Fall back to your own hardware via LM Studio or Xinity, or to zero-retention hyperscale models via TensorX and Featherless AI
- The ceiling is yours to move, in either direction
Langdock's usage windows, the Extra Usage option and the GPT-5.6 Luna fallback are documented on Langdock's own usage-limit pages, August 2026. Navigator's spend caps and model routing are the same ones described on our Navigator product page.
Everything Langdock does, Navigator does too
Switching shouldn't mean giving something up. The capabilities you're used to are all here — the differences above are additions, not trade-offs.
Workspace
- Chat across every major model
- Projects
- Skills — reusable instruction sets
- Assistants and agents
- Workspace-wide search
Knowledge & tools
- Knowledge bases with RAG (retrieval-augmented generation — answers grounded in your documents)
- MCP (Model Context Protocol) server support
- 500+ tool integrations
- Full REST API
Governance
- EU data residency
- Per-role and per-employee tool permissions
- Admin control over available models
- No training on your data
- Usage monitoring and limits
Companies building on Navigator
Teams that wanted AI shaped around their own processes, not a workspace they had to bend to.
Keinsaas developed and implemented a custom AI strategy for us. Many of our processes couldn't be covered by ChatGPT. Thanks to two purpose-built integrations, our teams in Hamburg and Berlin can now prepare cost estimates and bills of quantities more efficiently.
Trusted by 400+ users and growing fast
Frequently asked questions
Yes — Navigator covers the same ground: chat across every major model, agents, projects, skills, knowledge bases with RAG, MCP support, an API, workspace search and EU hosting. The difference is ownership. Navigator is open source, so you can self-host it at any company size, read and modify the code, and keep running it if you ever stop paying us. Langdock is a closed-source product you licence per seat.
Own your AI infrastructure
Try Navigator free, or bring us your Langdock setup and we'll show you exactly what moving would look like — models, workflows, departments and cost.