ChimericLabs
Agent Systems · 2026-10

Wren: a home-made Claude Duet

Anthropic's Claude Duet is a background agent that checks in each morning, does long jobs on its own and asks before it sends or pays. It's waitlist-only for now. We had already built most of the same thing at home, out of Claude Code, a personal server and a handful of open tools. We call it Wren. This is what it's made of, how it compares, and what it taught us.

Infographic of Wren. Left: Claude, ChatGPT, Codex, Haiku and Fable, and Kimi or Grok through delegation tools. Centre: Wren, the agent orchestrator and bus, with specialised agents above and core capabilities below: workflow engine, checkpoints, verification and proactive jobs. Right: tools and connectors, and the Telegram, Claude Code, ChatGPT and dashboard interfaces. Bottom: proactive work, multi-agent workflows, persistent memory, human oversight, and the Duet score of 8 ahead, 5 at parity, 1 partial and 0 missing.
Wren at a glance. Drawn by ChatGPT, checked and corrected by Wren. Tap to enlarge.

How it grew

How you talk to it

From anywhere. Telegram (typed or voice notes), the Claude app's Remote Control and voice chat, the desktop app, or ChatGPT, which reaches the server through a connector. Every door opens onto the same server and the same memory, so you can run several Wren threads at once.

Current
Control and Control2 share an Agent Host backend and tunnel. Lite provides a separate fallback.

What it's made of

Proposed
Startup context stays small. Skills, searchable records and integrations load on demand before verification and saving.

Against Duet

Fourteen features, checked against the Claude Duet product page on 26 October. Our own assessment, not a benchmark: Duet is more polished and works out of the box.

8Ahead
5At parity
1Partial
0Missing
FeatureDuetWrenStatus
Shared memory and skillsDuetMemory, skills and apps carry over from the Claude app.WrenA gbrain knowledge base and git-backed notes that Claude, Codex and the other agents all read and write.Ahead
More than one modelDuetOpus 5.5.WrenOpus plans and checks. Codex builds, Haiku sweeps, Fable reviews, and Kimi or Grok plug in through the delegate skills when we subscribe. DispatchBench picks the cheapest model that passes.Ahead
Its own computerDuetA cloud computer managed by Anthropic.WrenA server we own, on 24/7: Intel i7-8700 (6 cores, 12 threads), 62 GB RAM, 2.8 TB NVMe, root access and about 25 scheduled jobs. Duet doesn't publish its specs. For scale, Kepler (ChatGPT's agent on our bus) reports a cloud box with 9 CPUs, 10 GB RAM and 31 GB of disk. Ahead on control; not proven ahead of Duet on size.Ahead
Drives other agentsDuetWorks on its own.WrenA shared message bus since August: Claude sessions, Codex, ChatGPT, Hermes, OpenClaw and hosted agents post tasks and replies to each other.Ahead
ThreadsDuetOne chat history, in the mobile app and on the web.WrenSeveral Wren threads at once, all sharing one memory. More work in parallel; the trade-off is no single history to scroll back through.Ahead
Brokers and market dataDuetNone named on the product page.WrenBrokers: Interactive Brokers, Questrade and Alpaca, through ChatGPT's apps. Market data through ChatGPT: Alpaca, Binance and CoinGecko; Financial Datasets and Quartr are connected but not paid for yet. Straight from the server: Databento, Yahoo Finance, FRED, SEC EDGAR, Helius for Solana, and open web search. Several are paid feeds a Duet user would have to add and pay for themselves. Orders always need a human.Ahead
Big tasks in the backgroundDuetTakes a request and reports back when it's done.WrenChild sessions, started by crss, work for hours or days with checkpoints, review and merge, and fresh sessions resume from saved state, so one job can run for weeks. Example: a six-week Ethereum client benchmark that ran largely unattended.Parity
DeliverablesDuetBriefs, docs, sheets, decks and dashboards.WrenPublished pages like this one, plus self-refreshing dashboards.Parity
VoiceDuetText or voice in the mobile app.WrenDictation into any thread, Telegram voice notes run as tasks, and Claude's own voice chat.Parity
Yes/no suggestionsDuetOffers follow-ups as yes/no choices.WrenEvery session ends with a recap and one-tap next steps.Parity
Morning briefDuetA daily summary and drafted next steps.WrenEvery day at 07:00 a short Telegram brief of the overnight jobs, with two yes/no next steps, for about three cents.Parity
A soul that keeps improvingDuetNo personality or self-improvement mentioned on the product page.WrenA short persona file loads in every session, and a cheap reviewer saves one lesson before each context reset, so Wren gets better week by week. Ideas borrowed openly from Hermes and OpenClaw.Ahead
Moves moneyDuetAsks before it sends messages or pays.WrenWren decides the portfolio and writes the trades onto an instruction sheet; you open it in ChatGPT through the Interactive Brokers connector and accept. It also says what to do with the crypto wallet. Next goal: a small wallet it trades on its own. A Telegram gate asks before other outward actions; no reply means no.Ahead
Connectors, inbox, calendarDuetMore than 6,000, including Gmail and Calendar.WrenAbout 25 ChatGPT apps through Codex, plus our own server and memory tools. Inbox, calendar and Slack are left off on purpose; they're a switch away through ChatGPT when we want them.Partial

What it costs

Wren runs on the Claude Max plan we already pay for, plus Codex and ChatGPT subscriptions we already had. Duet comes with Pro and Max plans and shares their limits. Here's what the same work would cost at API list prices, so you can judge for yourself.

Our heavy week$1,200–1,400, or roughly $5,000–6,000 a month. Mostly Opus re-reading long context while it runs many sessions at once.
A light, Duet-sized day$110–220 a month: a morning brief, a few errands and one or two long jobs.
The morning briefAbout three cents a run.
List pricesPer million tokens (input / cached read / output): Opus 5.5 $4 / $0.20 / $20 · Sonnet 5.5 $2 / $0.10 / $10 · Haiku 5.5 $0.10 / $0.01 / $0.50

What we learned

The whole thing on one page

In short: one strong model on your own server, reachable from your phone or ChatGPT, handing work to cheaper models and other agents, and asking you before anything leaves the building.