The multi-agent workflow platform

Reliable agent loops that
you can see, audit and control.

AgentLoop turns a team of AI agents into reliable, automated workflows for the whole software lifecycle — from a chat request to a shipped PR — and real‑time agent loops for game simulations and robotics. Build them visually, drill into every decision, and run them where you choose.

Neuro‑symbolic agents: LLM reasoning, held in place by symbolic control flow you can actually read.

macOS — DownloadWindows — soonLinux — soon
The AgentLoop Studio workflow editor — a GitHub PR review pipeline on the canvas
Live workflow editor
Plugs into
AnthropicOpenAIGeminiOpenRouterGitHubJiraPlaywrightMaestroMCP
Common workflows

One loop, every stage of the lifecycle.

Compose triggers, agents, and routing into workflows that run reliably in production — then open the primary agent's behavior tree to see exactly how it decides. Pick a loop to explore it.

Workflow
Memory
On chat /spec
Chat Trigger · /spec
chat
Agent · clarify intent
Postgres Memory
Memory
Spec ready?
If · intent
Wait for msg
Stop
product-manager
Agent · write spec
Engineer DAG
Sub-Workflow
Reply in thread
Notify · shipped
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Behavior tree · product-manager
WaitForAgentMessage
SUCCEEDEDaction
LoadSpecifications
SUCCEEDEDaction
UpdateSubproject
SKIPsequence
PlanAndCreateTasks
RUNNINGllm-action
Planning dispatch
RUNNINGselector
AddCompletionComment
READYaction
Loop
READYaction
PM loop
RUNNINGsequence
Root
RUNNINGroot
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Early Access

Start building with us.

AgentLoop is in private beta. We're onboarding teams running multi-agent workflows in production — and giving them a direct line to the people building the platform. Join the waitlist and we'll reach out when a slot opens.

  • Hands-on onboarding for your first workflows.
  • Early access to the behavior-tree editor and replay tooling.
  • A direct line to the engineering team.
Join the waitlist.

Drop your work email and we'll reach out when a slot opens.