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Visible loops
See what TARX is checking, when it last checked, and what comes next.
● FOR BUILDERS
TARX is a local-first runtime for visible, governed agent loops. Give it a goal, constraints, and proof criteria. It watches the system, runs checks, updates the next action, and escalates when a human or coding agent needs to step in. Every loop is bounded, timestamped, and inspectable.
See how loops work →Why loops now?
Coding agents are moving from step-by-step prompting to delegated workflows that run against a goal. That is powerful and, today, mostly a black box: you cannot see what the agent is checking, when it last checked, or why it did what it did. TARX is built for the next phase: agent work with evidence, reliability, escalation, and operational visibility. You stay in control because you can see the loop.
What TARX does
TARX turns AI work into loops you can watch. Instead of prompting an agent step by step, you give TARX a goal, constraints, and proof criteria. TARX runs a bounded managed loop locally: goal -> contracts -> plan -> action -> proof -> critique -> next action -> escalate or stop.
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See what TARX is checking, when it last checked, and what comes next.
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Work happens on your prepared local stack, with model and provider truth surfaced.
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Bounded profiles, stop conditions, and failure thresholds. No forever-agent claim.
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Evals, self-tests, endpoints, screenshots, artifacts, and status docs.
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Codex or Builder can handle critique, patching, and judgment instead of babysitting.
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Explicit loop specs, YAML contracts, claim locks, dry-run modes, and validate-only modes.
How TARX works
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What the loop is working toward.
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Constraints, claim locks, and proof criteria.
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The loop's intended actions.
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The runtime executes locally and visibly.
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Evals, self-tests, artifacts, screenshots, and endpoints.
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Evidence is reviewed against the contract.
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The loop updates what comes next.
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Hand to a human or coding agent, or stop on a threshold.
Loop workflow examples
Watch, build, critique, release, and research loops are different operating modes. Each emits proof, each has a stop condition, and each can escalate when judgment is needed.
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Monitors app status, evals, self-tests, reliability, and the next action.
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Scopes work, sends Builder or Codex prompts, waits for proof, and updates status.
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Reviews screenshots, artifacts, UI contracts, claims, and regressions.
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Runs founder-demo proof, claim locks, packaging readiness, and go or no-go checks.
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Gathers market, customer, and source context, then distills decisions.
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Future connector and automation workflows. Planned, not claimed as live.
Local-first runtime
TARX runs as a local managed runtime. The prepared Electron app opens to Always On. A visible composer drives runtime activity that streams as it happens. The inspector and lower terminal show the ground truth of what ran. Model and provider are surfaced, not hidden. Cloud is fallback, not primary.
Claim boundary: prepared-machine founder RC. Public download, clean-machine, and offline readiness are not claimed yet.
Proof and claim locks
TARX is built on explicit contracts, claim locks, evals, self-tests, and proof artifacts. The product does not assert a capability it cannot show. Loop health is reported in the founder RC, loop timestamps update visibly over time, and loops run under explicit profiles: demo, stress, and overnight.
Codex and Builder
It runs the loop around it. TARX is not a better code model and does not claim to be. It wraps coding agents with local runtime, loop control, proof, and escalation. When a loop needs code written, patched, or judged, TARX escalates to Codex or Builder as a critique and patching layer, captures the proof, and updates the next action.
What is live today
What is not claimed yet
FAQ
TARX runs bounded, governed loops with stop conditions, failure thresholds, and escalation. It does not claim unbounded unsupervised autonomy.
Codex is a coding agent. TARX is the loop cockpit around coding agents: local runtime, loop control, proof, and escalation.
The prepared founder RC runs as a local managed runtime with visible runtime activity, evidence, and model/provider truth surfaced. Public clean-machine download is not claimed yet.
Loops stop through explicit stop conditions, failure thresholds, profile duration limits, or manual stop.
Founder alpha
Founder alpha is open to a small group of builders who want AI work that keeps moving and stays inspectable.