.sb-flow, .intel-flow { height: auto !important; } .sb-sticky, .intel-sticky { position: static !important; height: auto !important; overflow: visible !important; padding: 4.5rem 0 !important; } .sb-tile { opacity: 1 !important; } .sb-line { stroke-dashoffset: 0 !important; } .sb-node, .sb-node-label { opacity: 1 !important; } .istage-area { min-height: 0 !important; } .istage { position: static !important; inset: auto !important; grid-template-columns: 1fr !important; gap: 1.4rem !important; opacity: 1 !important; pointer-events: auto !important; margin-bottom: 2.5rem !important; } .istage .icopy, .istage .ipane { opacity: 1 !important; transform: none !important; } .ship-fan { position: static !important; height: auto !important; display: grid !important; gap: 1rem !important; } .ship-card { position: static !important; width: auto !important; opacity: 1 !important; transform: none !important; } .intel-step { display: none !important; } .pricing-actions { display: flex; align-items: center; flex-wrap: wrap; gap: 1.3rem; margin-top: 2rem; } .pricing-contact { color: #4F46E5; font-weight: 600; text-decoration: underline; text-underline-offset: 0.18em; }

Run agents.Make them better.

Tangle runs AI agents in isolated sandboxes and records their work. Compare changes before a person approves them.

Open the workbench Read the docs

Give every agent an isolated workspace.

Coding harnesses, tool-calling agents, long-running workflows: each gets a real computer in a Tangle Sandbox with files, a terminal, and browser access.

Claude Code$ clauderunning

Codex$ codexrunning

OpenCode$ opencoderunning

Hermes$ hermesrunning

OpenClaw$ openclawrunning

NanoClaw$ nanoclawrunning

Kimi Code$ kimirunning

Pi$ pirunning

Turn each run into a reviewable record.

Capture the run

Record model calls, tool use, timing, tokens, and cost so a result can be inspected after the agent finishes.

illustrative trace · checkout-agent38.5s

run · fix flaky checkout test38.5s

model · plan2.1s

read · checkout.test.ts0.5s

pnpm test · full suite12.8s

edit · retry-policy.ts1.9s

pnpm test · full suite11.4s

edit · checkout.test.ts0.9s

pnpm test · full suite8.9s

Find what repeats

Analyze multiple runs to find recurring failures and expensive steps worth testing as candidate changes.

illustrative trace · checkout-agent38.5s

run · fix flaky checkout test38.5s

model · plan2.1s

read · checkout.test.ts0.5s

pnpm test · full suite12.8s

edit · retry-policy.ts1.9s

pnpm test · full suite11.4s

edit · checkout.test.ts0.9s

pnpm test · full suite8.9s

Review changes where you work

Turn measured findings into a pull request, issue, skill proposal, or team summary. A person decides what ships.

Pull requestexample

tangle/faster-test-loop

Run the failing test file after each edit. Full suite once before finishing.

Issueexample

TAN-312

Adopt the failing-test-first loop across all coding agents.

Skill proposalreview

skills/testing.md

Proposed testing guidance is ready for review.

#eng-agentsdraft

summary

Review the candidate and its evidence before rollout.

Infrastructure for running and measuring AI agents.

Sandboxes

Isolated computers for agents: shell, files, browser, any coding harness.

sandbox.tangle.tools

Intelligence

Analyze traces and compare runs before and after a change.

intelligence.tangle.tools

Inference

OpenAI-compatible access to multiple model providers through one API.

router.tangle.tools

Start with a free account.

The Free plan has no included credit. Add prepaid credit before using AI models. Sign in to compare paid plans, included usage, and limits before checkout.

Run agents. Make them better.

Get started Read the docs