Agentic AI Comparison:
EmAGI vs OpenOperator

EmAGI: 8/10

Evidence confidence: medium

EmAGI documents a substantial end-to-end workflow for its stated purpose of acting as a digital employee: browser and software use, document work, calls, APIs, isolated execution, persistent memory, multi-model access, and ongoing work are explicitly described. Its software-development materials add repository and hosting work, code testing before delivery, deployment-oriented work, maintenance, review controls, and related business tasks such as copy, images, analytics, release notes, and first-line user responses. The score is not a claim that these workflows perform reliably in practice; some advertised breadth is described at a high level, with limited public technical detail about implementation, limits, audit controls, or task-specific coverage.

OpenOperator: 4/10

Evidence confidence: high

OpenOperator has a concrete historical workflow rather than only a promise: natural-language intent is passed through OpenAI, Stagehand translates it into browser operations, Browserbase runs those operations, and structured results are returned. That establishes a usable developer-oriented browser-agent pattern. However, the official README calls it a proof of concept, and the repository does not document the broader business-employee scope advertised by EmAGI; the maintenance notice also prevents treating later Browserbase capabilities as OpenOperator features. The score therefore reflects a limited historical workflow with substantial delivery and continuity gaps.

EmAGI: 7/10

Evidence confidence: medium

EmAGI advertises an active commercial service with self-described role-specific agents and a plan structure that includes setup assistance on the Assisted plan and dedicated human support on VIP. The published materials indicate that customers can start with an agent included in the account, but the service still requires the customer's own AI subscription, and the public evidence does not fully establish the exact onboarding process, geographic availability, supported providers, or operational limits. The score recognizes an apparently accessible paid service while reserving higher scores for more fully documented self-service setup.

OpenOperator: 3/10

Evidence confidence: high

The repository provides a deployment path for developers, including running the project locally at localhost:3000, and the source is MIT licensed. Nevertheless, the official repository explicitly says the project is no longer actively maintained and that its source moved elsewhere. The documented architecture also requires configuring multiple components—OpenAI, Stagehand, and Browserbase—rather than offering a maintained self-service end-user service. This supports a low but non-minimal score for historically obtainable developer software, not a recommendation that it is a current supported product.

EmAGI: 6/10

Evidence confidence: high

EmAGI publishes a comparatively clear headline model: Standard is $350 per month, Assisted is $500 per month, and VIP is $1,000 per month; the first agent is included, additional agents cost $15 per month within stated limits, and the customer's AI subscription is separate. The plans therefore support budgeting better than an undocumented offer. Value remains difficult to assess precisely because AI-subscription charges, capacity details, usage limits, hosting scope, and the operational boundaries of each plan are not fully specified in the cited materials. The score reflects plausible value with meaningful excluded-cost and entitlement uncertainty, not a finding that EmAGI is inexpensive.

OpenOperator: 3/10

Evidence confidence: high

OpenOperator is MIT-licensed open source, which makes source access clear, but that does not establish zero operating cost: the documented architecture depends on OpenAI and Browserbase, and the repository does not provide a current packaged commercial offer or a complete current cost schedule for those dependencies. Because the project is no longer actively maintained, historical source availability cannot be treated as a dependable current purchasing or support option. The score reflects material uncertainty about ongoing maintenance, dependency charges, hosting, and entitlement rather than a claim that the code itself has a license fee.

EmAGI: 5/10

Evidence confidence: medium

EmAGI documents several relevant connection mechanisms at the capability level: browser interaction, APIs, documents, voice calls, repositories and hosting for software-development work, plus isolated environments and shared or transferable memory. These are meaningful connections for its digital-employee purpose. However, the cited official pages do not provide a sufficiently detailed, verified catalog of named third-party connectors, public API documentation, MCP support, authentication methods, or export/import guarantees; the score therefore stops at the middle range rather than treating broad marketing descriptions as an extensive integration ecosystem.

OpenOperator: 5/10

Evidence confidence: high

OpenOperator's verified integration surface is useful for its narrow developer purpose: the documented stack connects OpenAI for intent understanding, Stagehand for browser-agent actions, and Browserbase for browser execution, with structured results returned to the application. That is a configurable architecture rather than a broad user-facing connector ecosystem. The evidence does not verify a maintained API, MCP ecosystem, business-app catalog, or current native integrations beyond these core dependencies; successor or adjacent Browserbase capabilities cannot be transferred to this exact historical repository.