Agentic Index

Manus vs Pokee AI (2026)

Both vendors last verified

Manus and Pokee AI are both general purpose autonomous agents that take a task and go do it, and they differ most on where they run. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Manus is the broader product (browser operator, design, web app building) on credit plans priced $20, $40 or $200 monthly, and runs only in its own cloud, with data in the US and Singapore, while Pokee automates work across 90+ tools from a free plan of 500 credits and Lite at $19.99 a month, and runs in its cloud, a customer VPC or on premises, air gapped included. Choose Manus for raw capability today. Choose Pokee for deployment control.

On the Agentic Index self hosted platform ranking, neither Manus nor Pokee AI clears the bar, which asks for both containment capabilities documented in full. Manus does not document deployment and data residency in full, nor model flexibility and routing; Pokee AI does not document model flexibility and routing in full. 171 of the 556 platforms it grades clear it. See the self hosted platform ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Manus and Pokee AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Manus if

  • Peak general agent capability today matters more than vendor uncertainty.
  • The browser operator plus design and web app building covers your use cases.
  • You are comfortable riding out the ownership transition as a subscriber.

Choose Pokee AI if

  • Deployment control (on premise or VPC) is a hard requirement.
  • Stable independent ownership matters for anything you build a workflow on.
  • Public pricing from $19.99 a month on Lite, with 90+ tool integrations, covers your work.
Feature
M
Manus
P
Pokee AI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
M
Manus
P
Pokee AI

Entry price

Lowest public entry point

Paid from $20 a month for 4,000 credits, $40 for 8,000 and $200 for 40,000, each with 300 daily refresh credits. Team is $20 a seat a month, and a free account runs the lite agent. Lite $19.99/mo; free plan with 500 credits

Pricing confidence

How public the numbers are

Public, exact Public, exact

Billing

Primary billing axis

A credit based subscription. Every action consumes credits, and complex tasks consume many. credits

Variable cost

Workload / overage exposure

High variable cost Low variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tier

Buying motion

Self-serve vs sales call

Self-serve Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Manus

  • · Agent capability

    Manus 2.0 shipped on web, desktop and mobile, built on Cascade, a rebuilt agent harness that loads specialized capabilities only when a project needs them.

    Source
  • · Funding / partnership

    Manus announced its return to independent operations after regulators ordered the unwinding of its December 2025 acquisition by Meta.

    Source
  • · Human approval / guardrails

    Manus launched Plan Mode, an opt-in feature that adds a human-in-the-loop review step before the AI agent executes a build or task.

    Source

Manus runs independently again after Meta's 29 December 2025 acquisition was reversed on regulatory grounds and the data separation finished on 23 to 24 August 2026.

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