7 Best DoAnything Alternatives in 2026
DoAnything is a general-purpose autonomous agent, and it’s unusually blunt about the positioning: “Not a chatbot. Not an assistant. An autonomous agent that actually does the work for you.”
The tool list is wide — email, phone calls in an AI voice, web browsing, research, writing and running code, documents, presentations, image generation, building and deploying websites, and spawning subagents to delegate to. It connects to 3,000+ apps including Gmail, Slack, Notion, Shopify, Stripe, HubSpot, Airtable, GitHub, Salesforce, and Google Workspace. The distinctive part is agent identity: it creates its own accounts, signs up for services, and manages profiles under its own name and email address. If you don’t answer within 60 seconds it reflects and finds another route, pauses when it’s genuinely blocked, resumes on its own, and texts you when it needs input.
Pricing isn’t published on the site. That, plus the breadth, is why people compare before committing — “does everything” is a hard claim to evaluate until you know which one thing you actually need done.
Breadth is a feature until it’s the problem
General agents are excellent at tasks with a clear start and end: research this, build that, find these, produce a deck. They get harder to trust the closer the work gets to your actual operations, because operational work is repetitive, touches systems of record, and fails expensively.
The useful question isn’t “what can it do.” It’s:
- Does it run continuously, or when I ask? A one-off deliverable is a different product from a standing process.
- Does it write to my systems, or just read? Producing a summary and updating the CRM are separated by a lot of engineering.
- Can I bound it? An agent with an identity that signs itself up for services needs a fence around it before it touches anything with money attached.
- What does a heavy month cost? Credit metering rewards light use and punishes the volume you’d have if it were genuinely doing your work.
1. Carly
Carly is built for the standing work, not the one-off task. You create an agent, describe its job in plain English, scope exactly which tools it can touch, and it runs — on a schedule, and triggered when mail arrives.
The identity story is similar but pointed at business use rather than autonomy for its own sake. Carly gets its own email address, so people email it, CC it on a live thread, or forward it something to handle, and it replies from inside email on any device. On your own domain it becomes part of the company rather than a service the company subscribes to.
- Your domain, your brand. Add a sending domain in the org portal, drop in a verification TXT record plus three DKIM CNAMEs and the SPF row it walks you through, forward the mailbox, verify. It sends DKIM-signed mail as
assistant@yourcompany.com. - Around 260 native integrations across CRM, calendar, accounting, support, and project management, and anything else with a public API connects with your own key — so it updates Salesforce, files the invoice in QuickBooks, and books the Google Calendar or Outlook slot.
- Scoped tool access. You decide what each agent may reach. That’s the difference between an agent you can leave running and one you have to watch.
- Memory across the relationship, not just the current task, so the fourth email in a thread lands in context.
Driving it from your own code — provisioning agents per tenant, embedding it in your product, running high volume — is available. Book a call with the team and we’ll scope it to your setup.
Pricing: free for unlimited Zapier-style workflows, AI agents from $35/month.
Best for: recurring operational work on your real systems, running without supervision.
2. Manus
The most established general autonomous agent, and the closest philosophical match. Give it a goal, and it plans, browses, writes code, and comes back with a finished artifact.
vs. DoAnything: more proven on complex research and build tasks, with a large body of public examples to judge it by. It doesn’t chase you by text or place phone calls, and it’s task-shaped rather than always-on. Credit-metered, so long autonomous runs add up quickly.
Best for: substantial one-off deliverables. Manus alternatives compares the field around it.
3. Lindy
AI employees defined by role rather than one agent that does everything. You configure triggers, tools, and behavior per job, and each one stays in its lane.
vs. DoAnything: far less autonomous by design, which is the appeal. Narrow agents on defined triggers are easier to trust with real workflows than a general agent improvising, and the audit story is simpler. Per-task credits mean high-volume roles need pricing out first.
Best for: teams who want several bounded agents instead of one broad one. See Lindy alternatives.
4. OpenClaw
Open source, self-hosted, no subscription, and the code is yours to read. The community is large and the capability ceiling is high if you’re willing to operate it.
vs. DoAnything: you supply model keys, hosting, and guardrails, and you keep full control of what the agent can reach. Autonomy running on your own machine has a security surface worth understanding before you connect it to anything financial.
Best for: technical users who want autonomy without a vendor. OpenClaw alternatives goes deeper.
5. Genspark
An agentic workspace built around producing things — decks, sheets, docs, research — with a browser and tool use underneath.
vs. DoAnything: narrower and better at what it’s narrow on. If the recurring need is “produce a good artifact from a messy brief,” this is a more direct route than a general agent that happens to be able to. No agent identity, no phone calls. Genspark alternatives covers the neighbors.
Best for: research and deliverable production.
6. Tasklet
Agents defined as tasks with triggers, closer to automation with a model inside than to open-ended autonomy.
vs. DoAnything: predictable. The same input produces the same run, which matters when the work is client-facing and a creative interpretation is a problem rather than a feature. Less impressive in a demo, easier to leave unattended. Tasklet alternatives has the comparison.
Best for: repeatable processes that need a little judgment, not a lot.
7. Polsia
The maximal version of the same idea: agents that don’t just do the work but run the whole company, on a nightly cycle, with hosting and email included.
vs. DoAnything: it goes further, and charges accordingly — plans from $19 to $999/month, plus 20% of revenue at withdrawal, with payouts routed through Polsia’s Stripe Connect and a monthly withdrawal cap. Worth understanding fully before you point it at anything real. Polsia alternatives covers the details.
Best for: people who genuinely want the AI to own the venture.
Choosing between them
The work repeats every week. Carly or Lindy. Standing processes need scope, memory, and system access more than they need raw autonomy.
The work is a big one-off. Manus or Genspark.
You want to own the stack. OpenClaw, self-hosted, with the guardrails you write.
You want maximum autonomy and accept the trade. DoAnything is genuinely one of the broadest, and the self-signup identity is real capability. Just decide in advance what it’s allowed to touch.
Breadth in a demo and reliability in production are different metrics. The best AI agents for productivity ranks the general field, and the best AI agents for founders covers agents pointed at a real business.
FAQ
What is DoAnything?
DoAnything is a general-purpose autonomous AI agent with 10+ tools — email, AI voice phone calls, web browsing, research, code execution, document and presentation creation, image generation, website building and deployment, and subagent delegation — plus connections to 3,000+ apps. It has its own agent identity, so it can create accounts and sign up for services under its own name and email, and it continues working on its own when you don’t reply.
What is the best DoAnything alternative?
For recurring operational work on your real systems, Carly, which runs on a schedule and from inbound email with scoped access to around 260 integrations. For large one-off tasks, Manus. For bounded role-based agents, Lindy. For self-hosted autonomy with no vendor, OpenClaw.
How much does DoAnything cost?
DoAnything doesn’t publish pricing on its site. Comparable agents mostly meter by credit or task: Lindy and Manus both bill per run, Junior by Kuse starts at $100/month, and Polsia runs $19 to $999/month plus a revenue share. Carly is free for unlimited Zapier-style workflows with AI agents from $35/month.
Is it safe to let an AI agent create its own accounts?
Treat it as a real capability with real exposure. An agent that can sign up for services can also agree to terms, start trials that become charges, and create identities you’ll later need to find and shut down. Scope what it can reach, use a payment method with a hard limit, and keep an audit trail. Agents with per-agent tool scoping make this much easier to bound than agents with blanket access.
Can an autonomous agent replace a virtual assistant?
For structured, systems-based work — inbox triage, scheduling, follow-up, data entry, reporting — increasingly yes, and it does it around the clock. For judgment, relationships, negotiation, and anything ambiguous enough to need a call, no. The realistic setup is an agent handling the repeatable volume so a person spends their time on the parts that need one.
Ready to automate your busywork?
Carly schedules, researches, and briefs you—so you can focus on what matters.
See what people say
"Before Carly, I relied on a Calendly link, but the whole process felt impersonal and not very professional. Carly changed that by handling all the back-and-forth, so I'm no longer stuck in endless email threads trying to line up schedules.
Now Carly reaches out to candidates, shares my real-time availability, lets them pick a slot, then sends a Zoom link and drops it straight into my calendar. She sends reminders to both of us before each call, which has significantly reduced no-shows and last-minute confusion.
On top of scheduling, Carly acts like a full executive assistant, sending me my schedule the night before so I can prepare for each call. It reminds me of the old x.ai assistant, but Carly is noticeably smarter, faster, and better suited to my healthcare recruitment business."
