Connected context → parallel agents → human review
Complex tasks.
Beautifully orchestrated.
Connect models, tools, and agents into long-running workflows.
Real-time visibility. Every step accounted for.
| TIME | EVENT | STATE |
|---|---|---|
Checkpoint retained. Retry to continue.
Let agents do the work.
Stay in control.
› release-readiness --watch
Context fetched github / PR-284
✓ Research agent completed 1.3s
✓ Build agent completed
✓ Review packet assembled
trace recorded / 5 events ▎
See execution as it happens.
Follow tool calls, agent output, and execution events in a single connected stream.
Read repository
Review dependencies
Generate patch
Check changes
✓Repository scannedR
Patch assembledB
Approve releaseH
Autonomous. Until you decide.
Bring a human into the loop at the moments that matter. Keep the workflow moving.
01 Model-agnostic by design
Route each step to the model that fits. Keep your workflow independent of any one provider.
02 Tools that work together
Connect APIs and MCP tools. Carry context from one task to the next, without the glue code.
03 Built for the long run
Coordinate parallel tasks, preserve checkpoints, and pick up where execution left off.
Your logic.
Your stack.
Define the steps. Connect your tools. Let the engine coordinate execution while you focus on what to build.
{
"name": "release-readiness",
"trigger": "github.pull_request",
"agents": [
{ "role": "research", "model": "claude" },
{ "role": "build", "model": "openai" }
],
"execution": "parallel",
"tools": ["github", "mcp"],
"review": "human",
"audit": true
}An accountable
execution record.
Nothing behind
the curtain.
Autonomy needs accountability. Follow the decisions, tool calls, and outputs that make up every run.
See the full execution path
From the first trigger to the final output, a connected trace puts each decision in context.
Put boundaries around autonomy
Give agents scoped tools and bring people into the loop when a decision needs a human.
Keep a record you can inspect
Review run events, permissions, and outcomes in one place. Export the trail when you need it.
Build what comes next.
We'll connect the steps.
From a single agent to a coordinated system. Start with one workflow.