general
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Delegate anything. It comes back done.
Describe your task and get back finished, shareable work — documents, dashboards, reports, apps, and more.
MindsHub Cowork is the unified workspace where open-source agents get work done for you.
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general
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Build a KPI dashboard from Postgres + Stripe
Build me a KPI dashboard from our Postgres and Stripe data — MRR, signups, churn, NRR — and explain the biggest moves this week. Then publish it so I can share it with the team.
PgPostgreSQLSStripe
- Planned the analysis4 metrics · weekly grain · 6-week window
- Connected to PostgreSQLvia the credentials vault — no raw key exposed
- Queried Stripe for MRR & churn1,204 subscriptions reconciled
- Joined 14,902 rows, built the chartspandas + matplotlib in the scratchpad
- Published dashboard.htmllive, shareable URL
Done — here's your Q2 KPI dashboard. The headline: MRR is up +9.4% week-over-week to $128.4k, driven mostly by three expansion deals. Churn ticked up to 2.1% (one logo, ~$1.9k MRR), and net revenue retention held at 112%.
Top customer-feedback themes, ranked by revenue
Combine last month's Gong calls, Zendesk tickets, and HubSpot notes into the top customer-feedback themes — and rank them by revenue impact, not just frequency.
GGongZZendeskHHubSpot
- Pulled 42 Gong call transcriptsMay 1 – May 31
- Read 318 Zendesk ticketsplus 96 HubSpot deal notes
- Clustered into 7 themessemantic grouping + dedupe
- Scored each theme by attached ARRcross-referenced HubSpot deals
- Wrote the memofeedback-themes.md
Here's the May feedback memo. Ranked by revenue, the #1 theme is onboarding friction — 28 mentions across $214k of ARR, well ahead of where raw frequency would rank it. Pricing confusion and a missing Salesforce sync round out the top three.
Extract 38 receipts into a Q2 expense workbook
Extract these 38 receipts from the shared Drive folder and build a categorized Q2 expense workbook with monthly totals. Flag anything that looks like a duplicate.
△Google Drive
- Read 38 receipts from Google DriveOCR on PDFs and photos
- Normalized vendors & currencies3 currencies → USD
- Categorized into 12 bucketssoftware, travel, meals, …
- Flagged 2 likely duplicatessame vendor, amount, ±1 day
- Built expenses.xlsx3 sheets, formulas intact
Built expenses.xlsx — 38 receipts totaling $24,318 across 12 categories. Software is the biggest line at $9,240. I flagged 2 duplicate charges ($318) for your review on the Summary tab.
Daily 7am briefing across Slack, Gmail, Calendar, Linear
Every weekday at 7am, scan Slack, Gmail, my Calendar, and Linear, and give me a priority briefing before my first meeting — what changed overnight and what needs me.
#SlackMGmail31Google CalendarLLinear
- Scanned 6 Slack channelsovernight messages + mentions
- Triaged 23 new emailsurgent vs. FYI
- Read today's calendar5 meetings, 2 need prep
- Checked Linear4 issues moved to your review
- Scheduled the recurring runweekdays · 7:00 AM
Scheduled ✓ — I'll run this every weekday at 7:00 AM and drop the brief here. Today's headline: 3 things need you before 10am. Acme is waiting on your reply, the pricing doc needs sign-off, and your 9:30 needs 5 minutes of prep (notes attached).
Size the US SMB-analytics market and compare vendors
Size the US SMB analytics market, compare the top vendors by price and ICP, and build me a shareable briefing I can send to the team.
BQBigQuery
- Researched 14 market sourcesreports, filings, pricing pages
- Modeled TAM / SAM / SOMbottoms-up by segment
- Compared 8 vendorsprice, ICP, and gaps
- Compiled a sourced appendixevery number cited
- Built market-sizing.htmlpublished, shareable
Here's the market-sizing briefing. TAM $18.4B, SAM $6.2B, three-year SOM $430M. I compared eight vendors — the clearest wedge is sub-50-seat teams that enterprise BI tools price out and overserve.
Projects
Group work, set instructions, and keep its data and artifacts together.
Q2-Reporting
Board metrics & dashboards
Revenue-Ops
GTM signal & feedback
Scheduled Tasks
Cowork runs these on the cadence you set, then drops the results in the task.
Live Artifacts
Documents, dashboards, and apps Cowork produced. Publish to share a live URL.
5 artifacts
Connected Apps & Data
Connect a source once. Secrets go into a vault, scoped per connection — the agent never sees a raw key.
Connected
Pg Connected
S Connected
M Connected
# Connected
31 Connected
L Connected
Available — featured
Memory
Rules, lessons, and saved context Cowork can reuse — yours to inspect and edit.
Global 1
Project · general 2
Select a memory file to inspect it.
lessons.md global
— Always reconcile Stripe MRR against the subscriptions table before reporting; they drift by ~2%.
— The boss prefers numbers first, then the narrative. Lead with the headline metric.
— Publish dashboards as live URLs by default — the team shares links, not screenshots.
lessons.md project · general
— Fiscal quarter starts in February, not January. Q2 = May–Jul.
— "North-star" metric is NRR; report it on every dashboard.
rules.md project · general
— Never write to production databases. Read-only credentials only.
— Currency is USD. Convert at the receipt date's rate.
Skill Library
Teach a skill once; Cowork recalls it when the work fits — no relearning.
Settings
Cowork configuration and workspace preferences.
Providers
•••••••••••••••••• Connected
Agent models
latest:sonnet
Reasoning effort
High
latest:haiku
Reasoning effort
High
Agent harness
Appearance
Q2-REPORTING · POSTGRES + STRIPE
Q2 KPI Dashboard
Live · updated 2h ago
MRR
$128.4k
▲ 9.4% WoW
New signups
412
▲ 6.0%
Churn
2.1%
▲ 0.3 pt
Net revenue retention
112%
— flat
MRR by week
Top movers this week
| Account | Change | Why |
|---|---|---|
| Northwind | +$4.2k | Expanded to the Scale plan |
| Initech | +$2.1k | +15 seats added |
| Acme Co. | −$1.9k | Downgraded — churn risk flagged |
RESEARCH · 14 SOURCES
US SMB Analytics — Market Sizing
Published · shareable
TAM$18.4BAll US SMB analytics spend
SAM$6.2BSelf-serve, < 200 seats
SOM$430MReachable in 3 years
Vendor comparison
| Vendor | Entry price | ICP | Gap |
|---|---|---|---|
| Enterprise BI A | $70k/yr | 2,000+ seats | Overserves SMB |
| Dashboard SaaS B | $24/mo | 10–50 seats | No warehouse |
| Notebook tool C | $0 OSS | Analysts | Not self-serve |
| The wedge → | — | < 50 seats | Underserved |
Sources: Gartner 2025, vendor 10-Ks, pricing pages, Census CBP. Every figure cited in the appendix.
Customer Feedback Themes — May
Ranked by attached ARR, not raw frequency. Each theme links to its source calls, tickets, and quotes.
- 1 · Onboarding friction$214k ARR · 28 mentions
- 2 · Pricing confusion$156k ARR · 19 mentions
- 3 · Missing Salesforce sync$98k ARR · 12 mentions
- 4 · Slow CSV export$41k ARR · 22 mentions
"We almost didn't make it past week one — setup took three calls with support." — VP Ops, $48k ARR account (Gong, May 14)
Recommended follow-ups
- Ship a guided first-run; target time-to-first-value < 10 min.
- Rework the pricing page around seats, not credits.
- Prioritize the Salesforce connector — 5 deals waiting.
Daily Briefing — Friday
- Reply to Acme — they're waiting on the renewal terms.#sales · 7:42 PM
- Sign off on the pricing doc before the 11am review.Gmail · Dana
- Your 9:30 with Initech needs 5 min of prep.Calendar
Meeting prep · 9:30 Initech
Renewal call. They asked about SSO last time — it shipped Tuesday. Up-sell angle: 15 seats added in May.
Open loops
- 4 Linear issues moved to your review overnight.
- 2 Slack threads in #product mention you.
Every line links back to the source — one click to the thread, email, or issue.
SummaryReceiptsCategories
| A · Date | B · Vendor | C · Category | D · Amount | E · Note | |
|---|---|---|---|---|---|
| 1 | 05-03 | Linear | Software | $1,200.00 | |
| 2 | 05-07 | AWS | Infrastructure | $3,480.12 | |
| 3 | 05-09 | Delta | Travel | $612.40 | |
| 4 | 05-12 | Figma | Software | $144.00 | ⚑ possible duplicate of row 9 |
| 5 | 05-15 | Notion | Software | $96.00 | |
| 6 | 05-18 | Uber | Travel | $58.20 | |
| 7 | 05-21 | Sweetgreen | Meals | $84.10 | |
| … | TOTAL | $24,318.00 | =SUM(D2:D39) |
Interactive preview — click around, open an artifact, or type a task.
Why MindsHub Cowork
AI that actually takes work off your plate.
Chat is fine for a question and an answer. Real knowledge work isn't a transcript — it needs your data connected, the right model for each step, somewhere for results to live, and a way to share them.
Open-source agents deserve a powerful workspace. MindsHub Cowork brings it to them — and pushes it further: data through a secure vault, the model you choose, artifacts you can publish, and work you can hand off.
Data & tools
Connect your data through a secure vault
Point Cowork at the systems your work lives in — BigQuery, Postgres, Gmail, Drive, HubSpot, Notion, Linear — from one connectors directory. Credentials go into a vault, scoped per connection. The agent uses them at runtime but never sees a raw key.
Models
Pre-wired models — swap in a click
The Model Router comes pre-wired, so there are no per-provider API keys to set up. Pick a planning model and a coding model from a dropdown — frontier models from Anthropic, OpenAI, and Google, or cost-effective open-source LLMs like DeepSeek, Qwen, and Kimi — and switch anytime. Your agent, history, and memory stay put.
Agent harness
Switch the agent harness
Cowork runs on interchangeable open-source agent harnesses — Anton and Hermes today, with more on the way. Pick the one that fits your work from a dropdown and keep the same workspace, data, and artifacts. One interface; the engine underneath is yours to choose.
Artifacts
Real artifacts, not a wall of chat
Cowork turns an agent's output into things you can use — documents, dashboards, apps, code — not a scrolling transcript. Keep them in the workspace, or publish to a live URL to share with anyone.
Collaboration
Organize in projects, share by link
Group work into projects, pin what matters, and share published artifacts with your team by link. Cowork is built for handing work back and forth — not a private transcript only you can see.
And more
The rest of the workspace.
Memory across sessions
Cowork remembers your schemas, preferences, and past decisions — and lets you manage what it keeps.
A skill library
Teach reusable skills once; the agent recalls them when the work fits, instead of relearning every time.
Scheduled work
Set a cadence and Cowork runs the work on schedule — daily briefings, weekly summaries, recurring audits.
Open by design
Swap the agent or the model — keep everything you've built.
Openness isn't a slogan here; it's how the platform works. Use commercial and open models side by side, switch providers without rewriting anything, and keep the memory and skills you build along the way.
One workspace. Any model.
Pick the model that fits the job — reasoning, coding, vision, long context, or fast, low-cost drafts — and switch anytime from a dropdown.
Anthropic
OpenAI
Google
Kimi (Moonshot)
DeepSeek
Qwen
Open-source agents
Each one has a name and a specialty.
Most people meet them through Cowork — and can swap them anytime. Builders run them standalone, native harness and all.
In Cowork today Model and agent choice per task — coming soon
Under the hood
How MindsHub fits together.
Cowork is the workspace you see; underneath, a managed runtime does the work. You brief a task, an open-source agent harness runs it, the Model Router sends each step to the right model, and a credentials vault lets the agent reach your data and tools without ever seeing a raw key — all on MindsHub's always-on infrastructure.
The MindsHub platform
Cowork
The unified workspace — brief the work, watch it run, collect the artifacts.
Projects Live artifacts Scheduled tasks Channels Skills
Agents Runtime
Agent Harnesses
OpenClaw
NanoClaw
Anton
Hermes
Model Router
Routes each step to the right LLM by cost, latency, and capability.
Right model for every task
Scratchpads
Protected reproducible execution environment.
Memories
Long-term, cross-run recall — facts, preferences, prior outcomes.
Credentials Vault
Encrypted secrets store — agents never see raw credentials.
OAUTH API KEY JWT SSH
Data & Tools Access
Databases
Warehouses
Docs & files
SaaS apps
Email & chat
Calendars
CRM
APIs
Data Files SaaS API / MCP
FAQ
Frequently asked.
- What is MindsHub Cowork?
- MindsHub Cowork is the unified workspace for open-source agents — one place for every agent and model. Brief a whole task in plain language, connect your data and tools, and collect finished, shareable work. The agent and model are swappable underneath.
- Which agents power Cowork?
- Cowork runs on interchangeable open-source agent harnesses — Anton and Hermes today, with more on the way. Anton is the default; switch the harness and the model from a dropdown anytime. Picking a different agent per individual task is coming soon.
- Can I switch the agent or model?
- You can switch the agent harness and the model from a dropdown today — the change applies across your work, not to one task at a time. Choosing a different agent per task is coming soon, along with memory that follows you across agents.
- Do I need to pick a model or agent to start?
- No. Create an account and brief your first task — there are no agent, model, or API-key decisions to make first. Sensible defaults are set for you, and you can switch the model or harness anytime.
- Why isn't a chat box enough for an AI agent?
- Chat is good for a question and an answer. Real knowledge work needs connected data, the right model for each step, a place for results to live, and a way to share them. Cowork is the workspace around the agent, not just a transcript.
- How does Cowork connect to my data?
- Through a connectors directory and a credentials vault. You connect sources like databases, warehouses, and SaaS tools once; secrets stay in the vault, scoped per connection, and the agent never sees a raw key.
- Is there a desktop or mobile app?
- Cowork runs on the web with nothing to install, and ships as a desktop app for macOS and Windows — both installers are linked on this page. Mobile apps are coming soon.
- How do I get started?
- Create an account and brief your first task — no agent, model, or runtime to pick first. $9.95/month, cancel anytime, on the web or the desktop app.