Deploy agents like apps. Run them anywhere.
sypho is a runtime and control plane for production AI agents — built for teams shipping agentic workloads across local, cloud, customer-controlled, hybrid, and managed environments.
$ sypho package ✓ manifest validated ✓ tools discovered ✓ skills attached $ sypho deploy support-agent \ --runner customer-eu live support-agent@0.4.2 route customer/eu/* → runner-pool/eu
Production agents need more than prompts.
Agents call tools, operate systems, access private data, run code, manage files, and interact with real users. Once agents touch real systems, they need the same discipline as production software: packaging, deployment, isolation, observability, policy, and controlled execution.
Control plane above. Runners everywhere.
sypho separates control from execution. Manage deployments, runs, policies, skills, knowledge, and observability centrally — while runners execute agents wherever the workload needs to live.
One runtime layer for the agent lifecycle.
Deploy, run, control, and observe production agents with the capabilities they need to operate safely across real environments.
Deploy
Package agents as versioned deployments with manifests, environments, tools, skills, and policies.
Run
Execute agents through portable runners across local, cloud, customer-controlled, hybrid, or managed environments.
Control
Govern tool calls, model usage, execution policies, secrets, approvals, and runtime boundaries.
Observe
Trace every run, step, skill activation, tool call, log, result, failure, and replay.
Skills
Add reusable capabilities to agents through governed, observable instruction and execution packages.
Knowledge
Attach scoped vector and graph context to deployments with environment-aware access control.
From local agent to production runtime.
Move from development to controlled deployment without rebuilding your agent stack.
$ sypho init ✓ initialized agent project $ sypho package ✓ manifest validated $ sypho deploy --runner customer-eu live support-agent@0.4.2 $ sypho run support-agent started run-abc123 $ sypho logs --trace latest showing full execution trace $ sypho promote promoted to production
agent: support-agent version: 0.4.2 runtime: python skills: - refund-policy - escalation-playbook knowledge: - support-docs - customer-graph environment: runner: customer-cloud policy: production
Notes on production agents.
Why controlling AI agents is harder than it looks
Agents make decisions, call tools, touch systems, and create side effects. That changes what production infrastructure needs to provide.
Production agents need more than prompts
Once agents touch real systems, they need the same discipline as production software: packaging, deployment, and controlled execution.
Skills as reusable agent capabilities
Skills make agents more capable by packaging domain knowledge into reusable, governed capabilities.
Build agents that can actually run in production.
Join the sypho waitlist and help shape the runtime layer for agentic software.