The infrastructure patterns behind every successful AI agent deployment.
The moat is not access to models. It is the ability to redesign workflows, keep humans at the right boundary, and run agents reliably enough that the organization actually learns.
Resume from failures, never restart
Why it matters
Goldman Sachs doesn't re-run trade accounting from scratch when a system fails. Neither should you.
How JamJet delivers it
Every workflow step writes a checkpoint before execution. On crash, JamJet replays completed steps from the event log and continues from the exact point of failure.
Complete traceability by default
Why it matters
Regulated industries — finance, legal, insurance — require full traceability. The firms that built audit trails into their agent workflows from day one avoided the compliance headaches that catch teams who bolt it on later.
How JamJet delivers it
Every state transition, tool call, and model response is persisted as an event automatically. No manual logging, no reconstruction after the fact.
Human oversight as a first-class capability
Why it matters
Klarna's public reversal made this lesson impossible to ignore: human-in-the-loop cannot be bolted on after quality degrades. It must be designed in from the start.
How JamJet delivers it
Human approval is a first-class node type. Your workflow pauses, presents the decision to a human, and resumes when they approve — with the approval logged in the audit trail.
Route to any model, no vendor lock-in
Why it matters
Goldman routes across OpenAI, Gemini, and Llama by task type. Model flexibility is how you avoid vendor dependency and optimize cost.
How JamJet delivers it
Models are interchangeable resources. Route to Claude for reasoning, Gemini for code generation, and a local model for sensitive data — in the same workflow.
Standard protocols, not proprietary walls
Why it matters
The industry is converging on standard protocols. Agents that cannot interoperate are agents that cannot scale beyond your own walls.
How JamJet delivers it
Native support for Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A). Your agents collaborate with agents in other frameworks, other organizations, other runtimes.
No garbage collector, real parallelism, checkpoint writes at native speed.
Durability is the execution model, not an add-on.
MCP + A2A built into the runtime, not wrapped around it.
Apache 2.0. No vendor lock-in.
See it in action
Walk through a production architecture — multi-agent coordination, human oversight, and durable execution.
See the showcase →