
Donely
Donely is a managed platform for deploying and running AI agents built on the open-source OpenClaw runtime. It runs isolated instances side by side, each with its own data, credentials, permissions and spending caps.
What is Donely?
Donely is a managed infrastructure platform for deploying, hosting and supervising AI agents. It is built around OpenClaw, an open-source personal assistant that clears inboxes, sends email and manages calendars from chat channels such as WhatsApp, Telegram, Discord and Slack, with memory that persists between conversations. Donely's premise is blunt: self-hosting that runtime means Docker, SSL, secrets, configuration drift and a pager at three in the morning, so the company sells the infrastructure instead.
The claimed differentiator is multi-instance isolation. Where most platforms give a team one shared workspace, Donely runs separate OpenClaw instances side by side. Data and credentials never cross between them, permissions are granted per instance rather than across the whole account, and spending limits are set per deployment, all from a single dashboard. Three paths are laid out: Teams, with department-level agents, roles, audit logs and SSO; Founders, starting on a personal instance and adding a business one later; and Agencies, with one isolated instance per client, a white-labelled dashboard and per-client invoicing.
A marketplace offers pre-built AI employees — Finley for sales prospecting, Nova for customer support, Echo for email triage, Scout for QA testing on every pull request, Sage for competitive intelligence — or you upload your own configuration. Donely defines these against chatbots and assistants: role-based, persistently remembering, holding read and write access across your stack, and owning an outcome rather than answering a question. Each runs on its own compute instance with SSL, DNS, auto-healing and monitoring.
Two further lines sit alongside. Company Brain indexes meetings, tickets, documents and messages into one layer that people and agents query in plain language, sold as a six to twelve week engineering build from USD 10,000. Donely Red Team is an agentic penetration-testing service, subscriptions at USD 2,500 and USD 6,000 per month.
Developers get a versioned REST API, an MCP server for Claude Desktop, Cursor and Windsurf, a CLI, typed SDKs, HMAC-signed webhooks and SSE streaming. Governance covers isolated containers, least-privilege credentials, human approval on risky actions, drift detection and log export to Splunk or Datadog.
What it does
- Deploy an AI agent onto managed infrastructure without configuring Docker, SSL, DNS or webhooks
- Run several isolated OpenClaw instances in parallel, one per context, department or client
- Pick a ready-made agent from the marketplace or upload your own OpenClaw configuration
- Connect agents to company systems through the integration layer, which advertises 982+ connectors
- Set guardrails: per-tool permissions, escalation rules and human approval on high-risk actions
- Cap spending and usage per instance to keep costs bounded
- Drive agents from code through a REST API, an MCP server, a CLI or TypeScript and Python SDKs
When to use Donely / When not to
A quick filter to help you decide if Donely is the right fit.
When to use Donely
- Founders and small teams who want a working AI agent without taking on DevOps, hosting or on-call duty
- Agencies billing several clients, who need one isolated instance per client, a white-labelled dashboard and per-client invoicing
- Existing OpenClaw users tired of managing Docker, SSL, secrets and configuration drift themselves
- Security-conscious organisations that need department-level segmentation, role-based access control, audit logs and SSO
- Developers who want to drive agents programmatically through a REST API, an MCP server, a CLI or typed SDKs
When not to use Donely
- Anyone looking for a simple conversational chatbot: the product deliberately defines itself against that use
- Buyers who need contractual maturity, since the terms describe the service as in development and supply everything as is, without warranty
- Teams that must document where their data is stored: no hosting country or region is disclosed anywhere on the site
- Organisations requiring a signed DPA, a published subprocessor list or an EU Article 27 representative, none of which exist
- Individual users on the entry plan who need their content excluded from model training, which only applies from the Business plan upwards
How to use Donely
A typical end-to-end flow, from setup to results.
- Create an account: signup is free, comes with a USD 5 credit and requires no credit card
- Pick a ready-made agent from the marketplace, or upload an existing OpenClaw configuration of your own
- Connect the systems the agent will work in — CRM, email, calendar, ticketing and internal tools — through the built-in connectors or the API
- Define the guardrails: the agent's responsibilities, its permissions tool by tool, its escalation rules and which actions need human sign-off
- Deploy the instance; Donely provisions the compute, SSL, DNS, the browser sandbox and the email inbox, in a window it advertises as 60 seconds to five minutes
- Set the billing and usage cap for that instance so its cost stays bounded
- Watch the dashboards and audit logs to see what the agent did, when and why, then tune the workflow
- Add further isolated instances as you scale, one per department, per context or per client
- For programmatic use, generate an API key and call https://api.donely.ai/v1/openclaw, register the MCP server in your IDE, or install the CLI
- For an enterprise rollout, follow the guided path: threat modelling and use-case selection, agent and policy design, then a 30 to 90 day pilot before expanding
Pros & Cons
Pros
- Genuine per-instance isolation, which is uncommon among agent platforms and directly useful to agencies and segmented teams
- Cost stays bounded: spending and usage caps are set per instance, not just per account
- A complete, documented developer surface — REST, MCP, CLI, SDKs, webhooks, streaming — with runnable examples and real endpoints
- Built on an open-source runtime, so agent configurations stay portable and are not locked to a proprietary format
- Detailed governance: least-privilege credentials, human approval on risky actions, audit logs, decision replay and SIEM export
- Low barrier to entry: a free tier, a USD 5 credit, no credit card, and no DevOps work required to get an agent running
- Pricing is published and quantified, including the gap between monthly and annual billing
Cons
- The publisher is hard to identify: no postal address anywhere, no named executive, no company social account
- Very short track record — the domain was registered in May 2025, giving under fifteen months of history at review date
- The terms describe the service as in development and supply it as is and as available, with no warranty of availability or accuracy
- The licence taken over user content is very broad: perpetual, irrevocable, sublicensable, transferable and extended to third-party partners
- On the entry Personal plan, content feeds model training by default; exclusion starts at the Business plan
- Liability is capped at the greater of six months of fees or USD 100, with mandatory AAA arbitration and a class-action waiver
- Compliance is claimed by alignment, not certification: SOC 2 and ISO 27001 are cited as principles, and no hosting country, DPA or subprocessor list is published
Pricing & Plans
A free entry point is available: the platform advertises a starting price of USD 0, a USD 5 credit on signup and no credit card requirement, and the Personal plan additionally carries a 3-day trial. The lowest paid plan is Personal/Hobby at USD 25 per month billed monthly, falling to USD 21 per month on annual commitment (USD 252 per year, a 17% reduction). Note that this plan also bills USD 25 per agent on top of the subscription, so the effective cost rises with the number of agents deployed.
- 2 users
- USD 25 per agent
- 10 GB storage
- all OpenClaw features
- bring your own ChatGPT/Claude
- bring your own API key
- 3-day trial
- unlimited free AI inference
- unlimited users
- parallel execution
- team RBAC
- audit logs
- 25 GB storage
- 99.9% uptime SLA
- priority support and faster processing
- unlimited instances and users
- dedicated infrastructure
- custom integrations
- unlimited storage
- SSO
- SOC2
- custom SLA
- dedicated support and an on-premise deployment option
- a 6 to 12 week engineering build covering loop mapping
- wiring the knowledge layer and shipping the first agents
- handed over to your team
- weekly full-pipeline scan of one production target
- findings dashboard
- Slack and email alerts on new criticals
- daily scans on up to 5 targets
- PR-blocking GitHub Action
- chain construction
- priority triage and a SIEM webhook
Data, GDPR & hosting
A consolidated view of how Donely handles your data.
GDPR overview
Donely claims GDPR alignment explicitly rather than certification: its enterprise page states the architecture aligns with Zero Trust, NIST, ISO 27001, GDPR, and SOC 2 principles. That claim is backed by a working mechanism — a dedicated deletion page handling GDPR and CCPA requests within 30 days, with a confirmation email — and the privacy policy grants access, correction and deletion rights, exercisable through privacy@donely.ai. Beyond that, the framework is thin. No Data Protection Officer is named, no EU representative under Article 27 is designated, no Data Processing Agreement is published or offered on request, and no subprocessor list exists. Hosting jurisdiction is never declared: the policy only warns that data may be processed in the United States or elsewhere. SOC 2 appears as an Enterprise selling point, never as a completed audit.
Who owns the data?
Under the terms, you remain responsible for Your Content, meaning the data, text and feedback you supply plus the usage data generated as you work. Ownership as such is not transferred, but the licence you grant is unusually wide: worldwide, non-exclusive, perpetual, irrevocable, royalty-free, sublicensable and transferable, extended to Donely and to its third-party partners. It covers using, modifying, reproducing, distributing and performing your content in order to run the service and to improve it, model training included except where your plan or a separate written agreement excludes it. Feedback is treated differently and becomes Donely's sole property outright, with all rights assigned.
Reuse rights
End users may reuse their own content freely: nothing in the terms restricts what you do with the material you supply or with the outputs the agents produce for you. The restriction runs the other way. You must warrant that you hold the rights needed to grant Donely its licence, and the terms limit use of the service itself to personal, non-commercial purposes, forbidding resale, sublicensing, redistribution and the creation of derivative works from the service or its content. Personal, non-commercial sharing on social media is explicitly encouraged. Donely also disclaims any liability for AI outputs, leaving you to evaluate their accuracy, completeness and safety before acting on them.
Data retention & training
Hosting summary
Donely does not declare where customer data is hosted. Neither a country nor a region is stated anywhere on the site; the only relevant clause is a cross-border transfer notice in the privacy policy warning that data may be stored or processed in the United States or in other jurisdictions where the company operates. That is a consent clause, not a hosting disclosure, and it should not be read as one. What is described is the protection applied rather than the location. Data is encrypted in transit with TLS and at rest with AES-256 or an equivalent, access is controlled by role, and security reviews are run regularly. Architecturally, each customer receives a dedicated instance and each agent runs in an isolated container with its own network boundaries, so tenants are separated by design. Higher tiers advertise deployment on the customer's own infrastructure, in a private VPC or on premises, which would keep data off Donely's servers entirely. The public site resolves behind Cloudflare, which tells you nothing about where storage actually sits. Anyone with a data-residency requirement should obtain a written answer before signing.
Things to keep in mind
Risks and trade-offs to weigh before adopting Donely.
- The terms restrict use to personal, non-commercial purposes while the commercial offer explicitly targets teams, businesses and agencies — a contradiction the site never resolves, and one worth clarifying in writing before you commit
- The service is described as in development and supplied as is and as available, with no warranty of continuity or accuracy, despite a 99.9% uptime SLA advertised on the Team plan
- The licence you grant over your content is perpetual, irrevocable, sublicensable, transferable and extended to third-party partners; on the Personal plan that content also feeds model training by default
- Liability is capped at the greater of six months of fees or USD 100, arbitration under AAA rules is mandatory, and jury trials and class actions are waived
- SOC 2 and ISO 27001 appear as principles the architecture aligns with, never as certifications obtained and dated — do not read them as audit results
- Autonomous agents holding read and write access to your systems can act irreversibly; the terms place supervision, review and backups squarely on you, so configure approval flows before granting write scopes
- Published figures are self-reported and unverifiable from outside: the user count, the efficiency gains, and the Red Team results whose targets are anonymised. The company logos shown on the partners page are presented as users' employers, not as Donely customers
Setup & Integrations
Technical difficulty
Low for the intended path. Picking a marketplace agent and deploying it needs no technical skill: Donely provisions the compute, SSL, DNS and connections, and advertises 60 seconds to five minutes. The real effort is not technical but organisational — defining permissions tool by tool, escalation rules and approval flows requires knowing your own systems well. Difficulty rises sharply off that path: importing your own OpenClaw configuration assumes familiarity with OpenClaw, the REST, MCP, CLI and SDK route needs developer skills, and VPC or on-premise deployment is an infrastructure project reserved for higher tiers.
Deployment
Integrations
Behind Donely
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Donely.
Frequently asked questions
What is Donely actually built on?
What makes it different from other AI agent platforms?
Is there a free plan, and what does the first paid plan cost?
Is there an API?
Is my data used to train AI models?
Where is my data hosted?
Is Donely SOC 2 or ISO 27001 certified?
Is there a mobile app?
How do I contact the company?
Is there a referral or affiliate programme?
Should you pick Donely?
Donely is a real product with a clear and fairly uncommon angle. Where most agent platforms hand a team a single shared workspace, it runs isolated instances side by side, with permissions and spending caps set per deployment. That design answers a genuine need for agencies billing multiple clients and for organisations that must keep departments segmented, and it is backed by things that can be checked rather than merely claimed: quantified pricing served in static HTML, a documented API with real endpoints and runnable examples, a named integration catalogue, and four distinct legal pages.
The reservations sit elsewhere, and they are about the publisher rather than the product. Donely, Inc. appears in the footer of every page, but no postal address is published anywhere, no executive is named, and the company runs no social account. The domain was registered in May 2025, giving under fifteen months of history. The contractual frame deserves reading before any commitment: the terms call the service in development and supply it as is, the licence taken over user content is perpetual, irrevocable and extended to third-party partners, liability is capped at USD 100, and arbitration is mandatory. One clause restricting use to personal, non-commercial purposes sits oddly against an offer explicitly aimed at teams, businesses and agencies.
Compliance is asserted by alignment rather than certification. SOC 2 and ISO 27001 are cited as principles the architecture follows, no hosting country is declared, and neither a DPA nor a subprocessor list exists. Content is excluded from model training only from the Business plan upwards.
Worth trying for a founder, a small team or an agency that values the isolation model and can live with a young supplier. Worth pausing over if your procurement requires a documented hosting jurisdiction, a signed DPA or an identifiable counterparty.
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