Rote tool integrations now reach far beyond a single coding assistant. Over the past two weeks, San Francisco startup Modiqo has shipped a rapid series of releases that wire its capture-and-replay platform into Cursor, Claude Code, Codex, OpenCode, Windsurf, Kimi, Hermes Agent, Pi Coding Agent and Visual Studio Code. The version 0.75.0 release landed on 27 August 2026, the fourth release in a single week, and the company’s own materials now pitch one idea above all others: whatever editor your AI agents live in, a task you have automated once should never need discovering again.

The timing is not accidental. Modiqo’s Rote Playoffs hackathon kicks off on 1 September with more than 1,250 builders registered, and every one of them will be invoking the same commands inside whichever editor they already use. For readers who followed our coverage of the Rote Playoffs registration, this article is the other half of the story: what the platform under the hackathon actually does, how the Rote tool hooks into each editor, what the replay numbers look like, and what it costs.

This piece covers the multi-editor rollout, the capture-and-replay mechanics, how Plays compare with prompts, skills and workflows, the vendor’s token-saving claims, pricing from free to $799 per month, and the company behind it all. Every figure traces to a link in the References section.

What Is the Rote Tool and Why It Matters Now

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The Rote tool is a local execution layer that sits beneath an AI coding agent. Instead of letting the agent rediscover a task from scratch on every run, it records what the agent actually did during a successful run and compiles that trace into a deterministic, replayable unit called a Play. Modiqo’s tagline states the philosophy in one line: “Don’t design the workflow. Capture the run that worked.”

A tool, not another agent

It is worth being precise about the category. The Rote tool is not a new coding assistant competing with Cursor or Claude Code, and it is not an orchestration framework in the LangChain mould. It is a roughly 10 MB command-line binary written in Rust, with zero runtime dependencies, that installs on macOS and Linux with a single shell command. Windows support is listed as coming soon. Your existing AI agents keep doing the reasoning; the Rote tool keeps the record of what worked.

Why the multi-editor story is the news

Plenty of automation products bind you to one environment. The recent releases push the opposite direction: one Play, captured in any supported harness, can be replayed from any other. A developer who captures a release-notes workflow in Claude Code can hand it to a colleague who runs it from Cursor, and Modiqo’s blog describes the design goal as letting “a successful path outlive the session that discovered it.” That portability is what turns the Rote tool from a personal convenience into shared team infrastructure, and it is the reason this rollout matters more than any single feature.

Rote Tool Support for Cursor, Claude Code and Other AI Editors

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The current integration list spans nine harnesses, each with a native way to invoke a Play. The invocation syntax differs slightly by editor, which is a detail worth knowing before the hackathon opens.

How each editor calls a Play

In Claude Code, the Rote tool registers a /rote slash command, with a /play variant used during the Playoffs. Codex and Cursor use a $play invocation, while OpenCode and Hermes Agent use /play. Kimi exposes it as /skill:play. Cursor and Windsurf are also auto-wired through the AGENTS.md convention, so agents in those editors discover the capability without manual setup. However the command is spelled, the underlying behaviour is the same: search for a matching Play, replay it if one exists, and capture a new trace if it does not.

The VS Code extension

Visual Studio Code gets the fullest visual treatment. The modiqo.rote extension, updated on 18 August 2026, ships an adapter explorer, a Play runner and a workspace dashboard. Its Canvas view lets you watch a run as it happens, replay it, fork it, or promote it to saved memory. The extension is young — the marketplace shows only around 75 installs and no ratings yet — but it is the clearest window into what the Rote tool is doing while an agent works.

Adapters: how the tool reaches your systems

Editor support answers where you invoke automation; adapters answer what it can touch. The registry ships more than 635 API adapters, with GitHub, Gmail, Stripe and Linear pre-configured, and an authentication wizard for OAuth and API keys. Teams already invested in the Model Context Protocol are covered too: the rote adapter new-from-mcp command wraps an existing MCP endpoint, and rote adapter new builds an adapter straight from an OpenAPI specification. This is the plumbing that makes task automation in an editor reach real systems rather than toy examples.

How the Rote Tool Captures a Run and Replays It

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Under the surface, the Rote tool works through three interaction modes and a four-stage lifecycle. The design is unusual enough to explain properly, because it is what separates a Play from a script.

CALL, SHELL and DRIVE

Every action an agent takes through the platform falls into one of three modes. CALL covers API requests and MCP operations. SHELL covers local commands. DRIVE covers browser automation. Each request and response becomes a Context Addressable Unit, referenced as @1, @2 and so on, and the dependencies between units form a directed acyclic graph. Because the graph records which steps depend on which, independent branches can be replayed in parallel. Guarding applies policy checks before risky writes, and tracing and caching come as standard.

From trace to Play: the crystallize step

The lifecycle runs Search, Trace, Crystallize, Recall. When an agent faces a task, the Rote tool first searches for an existing Play that matches. If none exists, it traces the run — every call, every parameter, every response. Crystallize then compiles that trace into a validated Play: an inspectable, versioned, immutable release published at a URI of the form play.modiqo.ai/owner/name@version. Recall is the payoff — the next run replays the recorded path with fresh inputs, and the agent reasons again only where conditions have actually changed. As the Modiqo blog puts it: “Nobody drew the graph. The agent found the path, and Rote kept it.”

What survives sharing, and what never travels

Sharing an automation normally means sharing secrets, which is why most teams never do it. Here the contract is explicit: credentials never travel with a Play. Each machine binds its own secrets at run time, a Play’s contract must disclose any writes it performs, and pulling a Play verifies its content hash. A separate bootstrap URI requires explicit consent, so nothing auto-executes on a colleague’s machine. For anyone weighing the Rote tool against pasting shell scripts into a team wiki, this credential separation is the sharpest practical difference.

Plays vs Prompts, Skills and Workflows

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Modiqo’s own comparison essay makes an argument that will resonate with anyone who has maintained agent infrastructure: the industry already has containers for intent, guidance and prediction, but none of them store what actually happened. “A skill tells the agent how to think about a task. It does not tell the agent which API call worked last Tuesday, in what order, with which parameters.”

The table below summarises the four containers as the vendor frames them, with the failure mode each one carries.

ContainerWhat it storesWho authors itWhat happens on each runBreaks when
PromptIntent in proseA personModel re-reasons from scratchThe model interprets it differently
SkillGuidance and triggersA personModel reasons within the guidanceAn API changes and the prose does not
WorkflowA predicted step graphA person, in advanceSteps execute as drawnAn unpredicted step is needed
PlayA recorded successful pathCompiled from a real runRecorded steps replay; reasoning only where neededThe API contract drifts

The honest caveat in the fourth row

Note that the Play row still has a failure mode. A replayed path is only as durable as the API contract underneath it, and Modiqo founder Chetan Conikee has been frank about the wider problem: “AI workflows today are like sandcastles. They look impressive when you build them, then wash away the moment anything changes.” The pitch is not that a Play never breaks; it is that when one breaks, the agent re-reasons the changed step and the Play is re-crystallized, rather than a human re-authoring prose or redrawing a diagram.

The Replay Economics: 14,900 Tokens Down to 300

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The commercial argument for the Rote tool is arithmetic. Modiqo’s published benchmark on its modiqo/hello example measures a discovery run at roughly 14,900 tokens and about 40 seconds, against a replay at around 300 tokens and about 2 seconds. Those are vendor-published figures rather than independent benchmarks, but the shape of the claim — roughly 98% fewer steps and tokens on replay — is consistent across the company’s materials and its investors’ commentary.

Dividing the vendor’s own numbers, the replay uses about 2% of the discovery tokens. That is the entire gap the chart below shows.

Tokens per run on the modiqo/hello benchmark (vendor-published)
Discovery run 14,900 tokens
Play replay ~300 tokens

Where the saving actually comes from

Joseph Ruscio, general partner at investor Heavybit, framed it this way: “Today’s AI agents are impressive in the demo and unreliable in production… Modiqo’s Rote captures what worked the first time and turns it into deterministic code — cutting token usage, reserving inference for the parts that genuinely need it, and reining in the context bloat plaguing today’s agent stacks.” In other words, the saving is not compression. The replay simply does not ask the model to think about steps that already have a known-good answer.

How that compares with the alternatives

Prompt caching, scripts and robotic process automation each attack a piece of the same cost, and it is fair to ask what a Play adds. The comparison looks like this.

ApproachDeterministic?Token cost on repeatAuthoring effortSharing story
Raw agent re-runNoFull (~15,000 in the vendor example)NoneShare the prompt, hope it repeats
Prompt cachingNoCheaper input, same reasoningNonePer-account, not portable
Hand-written script or RPAYesNear zeroHigh, plus maintenanceCopy the file, copy the secrets
Play replayYes~2% of discovery (vendor figure)Captured from a runVersioned URI, credentials never travel

Classic robotic process automation earns its row here: it is deterministic and cheap to repeat, but every workflow is hand-authored and brittle, with none of the provenance, versioning or credential separation described above. The Rote tool is best understood as an attempt to get RPA’s replay economics without RPA’s authoring cost.

Rote Tool Pricing: From Free Community to Business

Pricing is organised per organisation per month, with two months free on annual billing. The free tier is unusually generous on the axis that matters: there is no metering on runs, tokens or agents at any tier, including Community.

TierPrice / org / monthMembersDeleted-Play recoveryStand-out features
Community$057 daysUnlimited public and private versioned Plays
Team$991530 daysVerified organisation, basic roles
Growth$29950180 daysSAML/OIDC SSO, audit export, standard approvals
Business$799100365 daysAdvanced approvals, priority support

The seat ceilings scale in the same rhythm as the prices, which the chart below makes visible at a glance.

Member ceiling by pricing tier
Community 5 members
Team 15 members
Growth 50 members
Business 100 members

What is deliberately missing

Two absences stand out. There is no service-level agreement even at the Business tier, which enterprise buyers will notice. And there is no per-run or per-token meter anywhere, which suggests Modiqo wants Plays created and replayed as freely as possible while the network of shared automation grows. For a small team experimenting with task automation across a couple of editors, the practical reading is simple: the Rote tool costs nothing until your organisation passes five people.

Modiqo, the Company Behind the Rote Tool

Modiqo announced a $3 million pre-seed round on 28 May 2026, co-led by Heavybit and Seligman Ventures with participation from Irregular Expressions and angel investors. The company launched the Rote tool out of stealth at the same time, positioning it for enterprises as deterministic AI workflows “at a fraction of the token cost.”

A founder with three exits

Founder and CEO Chetan Conikee is a four-time founder with three exits, having built early teams at CashEdge, Business Signatures and EndForce before founding the cybersecurity code-analysis firm ShiftLeft in 2016, which rebranded as Qwiet AI in 2023 and was later acquired by Harness. His background in code property graph analysis is visible in the product’s design: recording execution as a dependency graph is precisely the kind of structure his previous company built for security analysis.

The founding team

The co-founders bring an unusually compiler-heavy skew for an automation startup: Hubert Plociniczak worked on Scala compilers, GraalVM and distributed tracing; Roberts Pumpurs comes from Rust, Solana and high-frequency trading; and Debasish Ghosh is a domain-modelling author of two books. That profile matches a product whose core trick — crystallizing a messy trace into a validated, replayable artifact — is closer to compilation than to scripting.

Security, Limits and What the Rote Tool Does Not Do

No honest news piece on an early-stage platform should read like a brochure, and there are real boundaries to flag before anyone reorganises their team’s task automation around it.

The current limits

Windows users are still waiting: the CLI supports macOS and Linux today, with Windows listed as coming soon, so a mixed-platform team cannot yet standardise on it. The VS Code extension’s roughly 75 installs are a reminder of how young this ecosystem is. The headline efficiency figures are vendor-published and have not been independently benchmarked. And a Play remains hostage to API contract drift — the platform detects and re-reasons around change, but a heavily drifting SaaS API will still burn discovery runs.

The security posture

On the positive side of the ledger, the security model is more considered than most young developer tools manage. Secrets bind locally and never ship inside a Play, write operations must be disclosed in a Play’s contract, content hashes are verified on pull, and bootstrap execution requires explicit consent. Combined with guarding’s policy checks before risky writes, the design acknowledges from day one that replayed automation touching production systems is a serious thing for AI agents to be doing — a maturity that many agent frameworks arrived at only after incidents.

The hackathon as a stress test

The clearest signal on whether the platform delivers will arrive within days. From 1 September, over 1,250 hackathon entrants will capture and publish Plays across every supported editor, and the judging criteria — does it run, do strangers trust it, does it get adopted — are effectively a public reliability audit. Our guide to the Rote Playoffs covers the dates, prizes and judging in full. If your organisation is weighing this class of tooling, watching what survives that week is free due diligence — and if you want help turning agent experiments into dependable workflow automation, that is exactly the work our team does.

Rote Tool FAQs

Which editors does the Rote tool support today?

Claude Code, Cursor, Codex, OpenCode, Windsurf, Kimi, Hermes Agent, Pi Coding Agent and Visual Studio Code. Claude Code uses the /rote command, Codex and Cursor use $play, Kimi uses /skill:play, and Cursor and Windsurf are additionally auto-configured through AGENTS.md.

Does the Rote tool replace my coding assistant?

No. It sits beneath your existing assistant as a local execution layer. The agent still does the reasoning on first contact with a task; the Rote tool records the successful path and replays it on subsequent runs, so the model only reasons about what changed.

Is the Rote tool free?

The Community tier is free for organisations of up to five members and includes unlimited public and private versioned Plays with no metering on runs, tokens or agents. Paid tiers at $99, $299 and $799 per organisation per month add seats, longer deleted-Play recovery, SSO, audit export and approval workflows.

How big is the claimed efficiency gain?

Modiqo’s published example measures a discovery run at about 14,900 tokens and 40 seconds against a replay at roughly 300 tokens and 2 seconds — about 98% fewer tokens. Treat the numbers as vendor-published until independent benchmarks appear.

Can a shared Play leak my credentials?

The design says no: credentials never travel with a Play, each machine binds its own secrets at run time, and any write a Play performs must be disclosed in its contract. Content hashes are verified when a Play is pulled from the registry.

Where do AI agents fit in all this?

AI agents remain the workers; the platform is their memory. Modiqo’s framing is that agents are good at finding a path and bad at walking the same path cheaply twice — the platform exists to close that gap, and the multi-editor rollout means the memory follows the team rather than one person’s editor. For a broader look at where autonomous agents are heading in business, see our AI employees and autonomous agents overview, or browse the latest releases in our AI models and tools hub.

References and Further Reading