OneCLI vs ShogunAI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of OneCLI and ShogunAI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
OneCLI
OneCLI
An open-source platform giving every employee a sandboxed AI agent that reaches company tools through a credential gateway and never holds a real secret.
Key features
- Per-Request Credential Injection: The OneCLI gateway injects scoped credentials for each call so agents never hold a real secret, and keys never leave the vault.
- Isolated VM Per Employee: Every employee's agent runs in its own virtual machine, keeping one person's agent workload and data separated from everyone else's.
- Hard Policy Limits Outside the Model: Destructive actions such as deleting a repository, sending a payment or wiping a customer record are blocked by external enforcement rather than by asking the model to behave.
- Runaway Agent Circuit Breaker: An agent that starts repeating itself or acting far faster than a person would is automatically slowed or paused before it can cause damage.
- Human Approval Gates: Sensitive steps — like emailing a customer — pause with the work already prepared and wait for a team member's explicit go-ahead.
- Access Inheritance: An agent can only reach the tools and accounts its owner already has, so support cannot reach billing and nobody shares a password.
- Slack, CLI and SDK Interfaces: Employees can chat with their agent directly in Slack or drive it programmatically through the OneCLI CLI and SDK.
- Open Source with Self-Hosting: The platform is open source, and Enterprise customers can deploy it entirely inside their own infrastructure with SSO and SAML.
Best for
- Company-Wide Assistant Rollout: Give every employee an autonomous agent without handing out shared credentials or standing API keys.
- Regulated Workflow Automation: Automate finance or customer operations where certain actions must be provably impossible for an agent to take.
- Slack-Native Task Delegation: Ask an agent in Slack to complete a multi-step job across internal tools and get pinged only when a human decision is needed.
- Least-Privilege Agent Access: Scope each department's agent to that department's systems so support, engineering and billing stay in their own lanes.
- Security Review of Agent Activity: Use audit-log retention and resource-level scoping to reconstruct exactly what an agent touched and when.
- Self-Hosted Enterprise Deployment: Run the whole agent platform inside your own network with SSO, SAML and custom integrations.
ShogunAI
ShogunAI
A local-first macOS memory and execution assistant that remembers your workday on-device and finishes work inside the tools you already use.
Key features
- On-Device Memory Layer: Captures mail, meetings, documents and screen context locally and indexes them into an encrypted store on your Mac, with no cloud copy by default.
- Contextual Recall with Sources: Answers plain-language questions across Mail, chat, docs and calendar from a single search, attaching the source and timestamp to every hit so answers can be checked.
- Execution Layer with Three Autonomy Levels: Reversible work runs automatically, drafts wait for review, and anything leaving your Mac stops for explicit approval — with every action logged as what ran, on what evidence, and what left the device.
- Inline Draft at the Caret: Press Option and ShogunAI reads the field around your cursor plus the memory behind it, then writes the continuation directly in the app you are already typing in as a local write you send yourself.
- Meeting Minutes, Not Recordings: Transcribes a meeting as it starts and on completion writes a summary, the decisions made and the commitments it heard, filing next actions into your work state with one tap; audio is never written to disk.
- Two-Way Live Translation: Set the language you speak and the language they speak — their speech reaches you in yours and yours reaches them in theirs, with only text retained afterwards.
- Daily Brief: Assembles what moved overnight, what is still open and what you promised someone before the day starts, rather than on request.
- Shared Memory Across Models and Agents: The same structured state of people, projects, commitments and open loops reaches Claude, Cursor, ChatGPT and anything driven over MCP, CLI or REST, so no session starts cold.
Best for
- Eliminating Cold Starts: Stop re-pasting last week's decisions and open threads at the beginning of every model session — every assistant starts from the same live memory of your work.
- Closing Open Loops: Surface the follow-up that is due today, draft the reply with the correct file attached, and hold it for approval before it reaches the recipient.
- Meeting Follow-Through: Turn a call into decisions, commitments and filed next actions automatically instead of re-listening to a recording.
- Answering 'What Did We Decide?': Recall a specific decision from a Notion brief or Gmail thread weeks later, with the source and time attached so it can be verified.
- Privacy-Constrained Work: Run an assistant over sensitive client or company context on machines where a cloud-indexed copy of the workday is not acceptable.
- Cross-Language Collaboration: Hold live meetings with counterparts in another language and keep only the translated text afterwards.
- Consultant and Founder Context Switching: Keep separate projects, people and commitments straight across many concurrent engagements without manual note discipline.