How it works

From local agent to controlled production deployment.

sypho gives teams a practical path from agent code to versioned deployments, governed runtime capabilities, portable execution, traces, replay, and production promotion.

Build
Package
Attach
Run
Observe
Promote

The agent lifecycle, made operational.

Agent teams need a repeatable path from development to production. sypho turns that path into a runtime workflow: package the agent, attach tools, skills, knowledge, and policies, select where it runs, execute through runners, and inspect every step.

Agent code
Deployment manifest
Tools / Skills / Knowledge / Policies
Runner environment
Run timeline
Replay / Debug / Promote
01

Build your agent

Start with your agent code, prompts, tools, workflows, and product logic. sypho does not force teams to rebuild their agent from scratch.

agent/
├─ prompts
├─ tools
├─ workflows
└─ entrypoint
02

Package it as a deployment

Create a versioned deployment that describes the runtime contract: entrypoint, tools, skills, knowledge, policies, secrets, and target environment.

deployment manifest
agent: support-agent
version: 0.4.2
runtime: python
entrypoint: support:agent
policy: production
03

Attach tools, skills, knowledge, and policies

Production agents need controlled access to the capabilities around them. Attach reusable skills, scoped knowledge, tool definitions, secrets, approvals, and policies intentionally.

Deployment
├─ tools
├─ skills
├─ knowledge
├─ secrets
└─ policies
04

Choose where it runs

Route the deployment to the environment the workload requires: local, private cloud, customer cloud, on-prem, hybrid, or managed execution.

Runner target
├─ local
├─ private cloud
├─ customer cloud
├─ on-prem
└─ managed
05

Execute through a runner

sypho resolves the deployment, selects the runner, starts the runtime, attaches the right capabilities, and streams events and results back to the control plane.

request.received
deployment.resolved
runner.selected
agent.started
result.returned
06

Observe every step

Each run becomes an inspectable timeline with planner decisions, skill activations, knowledge queries, tool calls, approvals, logs, errors, retries, and final results.

run.started
skill.activated
knowledge.query
tool.call
approval.waiting
run.completed
07

Replay, debug, and promote

Use traces to reproduce failures, compare versions, validate changes, and promote safer deployment versions into production.

trace review
scenario replay
version compare
promotion

Ship agents through a production lifecycle.

Join the sypho waitlist and help shape the runtime workflow for agentic software.