For the complete documentation index, see llms.txt. Markdown versions of all docs pages are available by appending .md to any docs URL.
Agents
Configure how an agent runs and what it knows, from the harness behind it to its prompt and memory.
Agent harness
Configure a Harness, the resource that defines what executes an agent and what infrastructure the …
Declarative agents
Build an agent from a system prompt, tools, skills, and plugins, and let the kagent harness run the …
Bring your own agent
Run a container image of your own as a kagent agent by exposing the A2A service that the byo harness …
System prompts
Set an agent’s system prompt inline or from a ConfigMap, and template it with values that kagent …
Structured output
Constrain an AgentTemplate’s final answer to a JSON Schema, set inline or in a ConfigMap, and …
Context management
Summarize older session events so an agent’s prompt stays bounded as a conversation grows, with two …
Agent memory
Give agents long-term memory that persists across conversations, backed by vector similarity search.
Human in the loop
Pause an agent before it acts, return the request to a person, and resume the turn once the person …
Egress policies
Grant an Agent or a standalone sandbox access to HTTP and HTTPS destinations beyond its model and …
Session sharing
Give another account access to one conversation with a share token, and bound its lifetime with a …
Scheduled runs
Run an agent on a cron schedule that sends a fixed prompt to a new Session for each execution.