What are the best alternatives to Pokee AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Pokee AI among multi-agent platforms are Helio, Wand AI, Agent Zero, Akka. Each is graded on the same public evidence, and no vendor pays for placement.

Does Pokee AI support MCP and tool calling?

Full under the Agentic Index verification standard. Pokee AI publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: The Pokee Enterprise API is documented on docs.pokee.ai, linked from pokee.ai: REST endpoints to create, list and delete sessions, send messages with streamed responses, manage workspace files and read usage, all with bearer token auth on a. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Pokee AI be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Pokee AI publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Pokee runs in its cloud or the customer's own VPC, enterprise on premises deployment covers air gapped environments with an offline API variant, and region pinning offers US, APAC and EU regions on request. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Pokee AI have SOC 2, SSO and role based access control?

Partial under the Agentic Index verification standard. Pokee AI publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Pokee's own pages disagree on its attestation: llms.txt says SOC 2 Type 2 compliant while the security page says the Type 2 audit is in progress, with ISO 27001 and ISO 42001 audits also in progress. SSO and SAML with audit logging are Ente. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Back to vendors

Pokee AI

Visit site

Multi-agent platformindependentVerified 2026-09-27

Entry priceLite $19.99/mo; free plan with 500 creditsFull pricing detail

AI agent platform that runs multi-step workflows across 90+ SaaS tools from one instruction, on its own reinforcement learning engine, with scheduled runs, a documented Enterprise API, and VPC or air-gapped deployment.

Pokee AI is a San Francisco AI agent platform that executes multi-step workflows across more than 90 SaaS tools from a single plain-English instruction. Its agent picks the tools, plans the steps, runs them through native API integrations rather than browser automation, and adapts when a step fails; workflows can run on daily, weekly, or custom schedules and trigger one another on conditions. Pokee runs its own reinforcement learning engine for tool selection and publishes its own models, including the Pokee-Isaac 28B family, rather than letting customers choose a provider.

The agent keeps memory across sessions of each user's preferences, projects, and past decisions, and PokeeClaw adds a private workspace, an isolated virtual machine with Python, Node.js, packages, and Git, for coding, file work, and research. Integrations connect through OAuth with credentials in an encrypted vault. For developers, the Pokee Enterprise API offers per-tenant sessions, streamed responses, file access, and usage reporting behind bearer tokens, and Pokee can run in its own cloud, in a customer VPC with region pinning, or fully on premises including air-gapped networks.

Pricing is self-serve with a free plan of 500 credits, Lite at $19.99 a month, Pro at $49.99, Ultra at $99.99, and Enterprise from $199.99 with SSO, audit logging, and on-premises deployment. Security documentation is uneven: the company's summary says SOC 2 Type 2 compliant while its security page describes that audit as in progress, and it documents guardrails on what agents can reach but no human approval step, so buyers running unattended workflows should confirm both.

Vendor details

Canonical URL

https://pokee.ai

Subcategory

Personal/Consumer — full-stack autonomous agent platform

Funding status

San Francisco company backed by a $12M seed round led by Point72 Ventures, with Qualcomm Ventures, Samsung NEXT and others participating (per the vendor's llms.txt); names Google, MasterCard and Lenovo as enterprise clients.

Company status

independent

Use cases & customers

Primary use cases

task automationbrowser automationmulti-tool orchestration

Target customers

enterprisedevelopers

Deployment options

SaaSVPCon-prem (air-gapped)

In practice

Your workflow spans a dozen apps and no single assistant touches all of them. Pokee automates work across more than 90 tools, driven by an engine trained on thousands of them.

An agent that runs code needs somewhere safe to do it. Pokee's PokeeClaw gives each task an isolated cloud VM with persistent storage and a Python and Node runtime, plus browser automation.

Compliance won't allow your data to leave your environment. Pokee deploys on-prem, on-device, or inside your VPC, which is why its pilots run in finance, healthcare, and manufacturing.

Sources & related URLs

Research sources

https://pokee.ai/llms.txt https://docs.pokee.ai/docs https://pokee.ai/security https://pokee.ai/security/agent-security https://pokee.ai/pricing

Agentic Index coverage score

8.5 / 14 capabilities · 61%

Integrations & Tool Calling	Full
Native API integrations cover 90+ tools listed by name, including Google Workspace, Microsoft Outlook and OneDrive, Slack, Jira, Asana, HubSpot, Salesforce, GitHub, Vercel, Shopify, Zendesk and Notion, connected through OAuth with credentials held in an encrypted vault. Sourcepokee.ai/llms.txtread 2026-09-27
Workflow Orchestration	Full
From one instruction the agent selects tools, plans the steps, runs them through native API calls and adapts when a step fails, and one workflow can trigger another on conditions. Sourcepokee.ai/llms.txtread 2026-09-27
Knowledge Grounding & RAG	Partial
Agents run deep research on the web and read connected sources such as Notion, Confluence, Google Docs and Drive. No knowledge base, index or retrieval layer over a customer's documents is described. Sourcepokee.ai/llms.txtread 2026-09-27
Human Oversight & Guardrails	Partial
The agent security architecture describes a capability broker that authorizes composed capabilities with egress allowlists and trust tiers and an injection firewall on tool returns, which constrain what the agent may do. No step where a person approves an action is documented, and scheduled workflows run unattended. Sourcepokee.ai/security/agent-securityread 2026-09-27
Security, Identity & Governance	Partial
Pokee's own pages disagree on its attestation: llms.txt says SOC 2 Type 2 compliant while the security page says the Type 2 audit is in progress, with ISO 27001 and ISO 42001 audits also in progress. SSO and SAML with audit logging are Enterprise plan features, and the API adds bearer tokens with mTLS and IP allowlists. The attestation is unconfirmed, and no role model or identity integration is documented beyond the plan line. Sourcepokee.ai/securityread 2026-09-27
Observability & Auditability	Partial
Audit logging is an Enterprise plan feature, the API reports usage and credit balance, and the security whitepaper describes an audit plane over agent trajectories with retention and access controls. No run history, trace view or record of agent decisions is documented as a product surface. Sourcepokee.ai/security/agent-securityread 2026-09-27
Memory & State Persistence	Full
Persistent memory across sessions covers each user's preferences, projects and past decisions, context carries over between conversations, and the Enterprise API describes a per tenant workspace with memory across sessions and session deletion. Files and packages saved in the PokeeClaw workspace are separate sandbox state. Sourcepokee.ai/llms.txtread 2026-09-27
Deployment & Data Residency	Full
Pokee runs in its cloud or the customer's own VPC, enterprise on premises deployment covers air gapped environments with an offline API variant, and region pinning offers US, APAC and EU regions on request. Sourcepokee.ai/securityread 2026-09-27
Prebuilt Agents, Templates & Packs	Partial
Use cases are listed by function (content, sales, marketing, support, HR, finance, DevOps and more) with ready prompts. No named prebuilt agents or templates are offered; the agent is assembled from the user's instruction. Sourcepokee.ai/llms.txtread 2026-09-27
Triggers & Channel Coverage	Full
Workflows run on daily, weekly or custom schedules without a person starting them, and one workflow can trigger another based on conditions; people otherwise start work with a natural language instruction or through the Enterprise API. Sourcepokee.ai/llms.txtread 2026-09-27
Model Flexibility & Routing	Not documented
Pokee runs its own reinforcement learning engine and its own model family (Pokee-Isaac 28B), with no customer choice of model or provider documented. Sourcepokee.ai/llms.txtread 2026-09-27
APIs, SDKs & MCP Extensibility	Full
The Pokee Enterprise API is documented on docs.pokee.ai, linked from pokee.ai: REST endpoints to create, list and delete sessions, send messages with streamed responses, manage workspace files and read usage, all with bearer token auth on a per tenant host. Sourcedocs.pokee.ai/docsread 2026-09-27
Testing, Debugging & Optimization	Not documented
Accuracy and cost figures and model technical reports are published, which measure the vendor's models, but no way for a customer to test or evaluate an agent or workflow is documented. Sourcepokee.ai/llms.txtread 2026-09-27
Browser & Computer Use	Not documented
Pokee states it works through native API integrations, not browser automation or screen scraping; the PokeeClaw workspace gives the agent a VM with Python, Node.js, a package manager and Git, which is a shell and code runtime rather than operating a screen. Sourcepokee.ai/llms.txtread 2026-09-27

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Lite $19.99/mo; free plan with 500 credits

credits

Free tier

Included quota

Free 500 credits a month; Lite 5,000; Pro 15,000; Ultra 100,000; Enterprise unlimited. Credits reset monthly.

What is public

pokee.ai llms.txt lists Free ($0, 500 credits a month), Lite ($19.99, 5,000 credits), Pro ($49.99, 15,000), Ultra ($99.99, 100,000) and Enterprise ($199.99 and up, unlimited credits, on premises deployment, dedicated support, SSO and SAML, audit logging), with 30 percent off annual plans. Credits meter every action and reset monthly.

Billing mechanics

The platform meters by credits: each agent action consumes credits, and each paid plan bundles a monthly credit allowance (5,000 on Lite, 15,000 on Pro, 100,000 on Ultra, unlimited on Enterprise) that resets monthly, with top-ups available at any time. Heavier multi-tool workflows burn credits faster, and per-action credit costs are not published.

Cost watchouts

Per-task credit consumption (varies by task), credit top-ups, enterprise on-prem deployment

Variable cost rationale

Credit metering plus top-ups means production spend scales with task volume and complexity

Additional watchouts

Usage is credit-metered and per-action credit costs are not itemized, so ask the vendor how many credits typical workflows consume.

Overage / add-ons

Buy top-up credits anytime without a plan change; no forced upgrade required to add credits.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free tier

Lowest paid plan

Lite $19.99/mo with 5,000 credits

Commercial notes

Annual plans are 30 percent off, credits can be topped up at any time, and Enterprise deploys on premises, on device or in the customer's VPC.

Key ambiguities

Plan prices and monthly credit allowances are published, but the credit cost of each action is not.

Cancellation / refund

Monthly or yearly (30% off annual); cancellation and refund terms not disclosed on public pages

Support SLA / resale

Standard plans get standard support; Enterprise adds SSO, pooled team credits, and dedicated support

Missing data

Per-task credit costs and cancellation and refund terms are not published.

Agentic Index verified 2026-09-27

Official pricing page Docs

Related vendors

Alternatives to Pokee AI

The closest documented capability profiles to Pokee AI among multi-agent platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Helio8.5 / 14Adds documented Model Flexibility & Routing
Wand AI6.5 / 14Adds documented Testing, Debugging & Optimization
Agent Zero10.0 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization, among others
Akka12.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization
Rasa11.5 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization
CrewAI13.0 / 14Adds documented Model Flexibility & Routing and Testing, Debugging & Optimization, among others

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Pokee AI with other vendors →Compare all multi-agent platforms →See where Pokee AI ranks →

Data confidence: high

Head to head

Pokee AI vs Manus