Let agents carry multi-step work through to completion in your own Langstack applications and connected business systems. Reduce manual effort with autonomous execution, within the permissions and human review points you define.
Give agents a goal and clear boundaries for action. Let them plan, execute, and learn from the results. Add Knowledge for enterprise context and Intelligence for model-driven decisions as your tasks require.
Break a goal into tasks, coordinate the steps, and use intermediate results to decide what comes next. Reduce manual handoffs by letting agents carry work through to completion and escalate when human input is needed.
Work with enterprise context
Give agents access to relevant knowledge, business relationships, and model outputs. Reuse context from Knowledge and predictions from Intelligence as the task requires.
Act in your applications and systems
Execute work in applications you build on Langstack and in connected business systems. Use workflows, tools, APIs, or computer use, with identity-based access to the resources each task requires.
Set boundaries for action
Define which actions an agent may take and where a person must review or approve the next step. Design workflows to escalate exceptions and consequential decisions to your team.
Build reusable capabilities
Create tools and skills from the work agents perform. Review and retain useful capabilities so future tasks can build on what has already been learned.
Learn from execution
Capture outcomes, human feedback, and experience from completed work. Feed this context into Knowledge and model evaluation in Intelligence to inform future decisions and actions.
Connect your own infrastructure or provision it through Langstack. Choose the environment that fits your workloads, while keeping control of your data and ownership of what you build.
Azure
Edge
A foundation for Zero Trust
Give agents only the access their tasks require. Connect systems through Langstack identities, keep credentials in the vault, and define where your workflows require human review. A model’s decision to use a tool does not itself grant permission.
Verify identities and authorize access to each resource. Reassess access as context and security signals change.
Least-privilege access
Grant users, workloads and agents only the access their task requires. An agent’s decision to use a tool does not itself grant permission.
Assume breach
Design for the possibility that a workload or identity is compromised. Isolate workloads, limit lateral access, and monitor activity to help contain the impact.
“Langstack is the best in the business at turning data into AI solutions that deliver measurable commercial results. This goes far beyond chatbots. It’s enterprise AI that we fully control, built to meet our highest ambitions at 3.”