Work with your models
Use models through configured connections, including compatible hosted endpoints and privately operated inference. Availability depends on your deployment and the model’s capabilities.
Kalamos by Aliion · Preview
Your models.
Your team.
One workspace.
Turn access to AI into work you can follow. Bring tasks, configured models, tool decisions, and session history together in Kalamos.
- 01Start with a task
Choose a configured model and describe the work.
- 02Keep decisions in view
Follow progress and review tool requests when approval is required.
- 03Return to the record
Inspect the result and the session’s execution history.
Your models. A shared place to work.
01 / Intelligence in practice
Don’t just see the answer.
See the work unfold.
Choose a task. Walk through the decisions.
Discover what a workspace adds.
01/ 04
Begin with the right context.
A useful task starts with a clear request and relevant project material. The workspace gives that conversation a place to live.
Context01 / 04
Your task
Map this project. Explain how a request moves through the code, and show me where to start.
Relevant project material
README.mdsrc/routes/src/services/
A persistent session keeps the request and its context together.
Illustrative content · not a live AI session
Models provide the intelligence. Kalamos gives the work a place.Inside the workspace
From request to record
Stay close to the work.
Built for teams that want to use AI while keeping its activity understandable.
See progress and decisions
Follow tasks through the shared queue and session. Configure tool policies and review approval requests when those policies require a decision.
Keep the context
Return to persistent sessions and inspect recorded execution events. Review outcomes and tool activity before deciding what to do next.
02 / Choice without losing context
The model can change.
The work stays connected.
Explore two connection patterns.
Know where your task travels.
FIG. 02Your deployment boundary
Your teamTasks & decisions
kKalamosThe workspace
Your model serverOperator-managed endpoint
Session & execution history
Private inference
Put your own capacity to work.
Connect a compatible model server running on infrastructure your team operates. Kalamos communicates with the configured endpoint; the people doing the work use the workspace.
Connection fit
OpenAI-compatible streaming and tool interfaces provide a connection path. Each model and server version still needs testing against the workflow you intend to use.
Compatible local or remote inference servers
Connection patterns, not an automatic routing service. The current preview uses an operator-configured default model connection. Per-task model selection and broader routing remain in development.
Where we are today
A working preview.
An enterprise direction.
Start with a focused workflow. Understand the boundaries before putting it to work.
In the preview
- Operator-configured model connections
- Persistent sessions and shared queue visibility
- Configurable tool policies and approval requests
- Recorded execution history
Still being qualified
Broader enterprise identity and permissions, operational recovery, and representative workflow reliability remain part of ongoing development and validation. Features vary by deployment. Preview access is arranged directly; it is not an open self-service signup.
The next step starts with a conversation
What will you
put intelligence to work on?
Bring a workflow, a model, or a question.
Let’s explore where Kalamos fits.