COMPARISON GUIDE
VS

Difference between
Obot and Runlayer

Compare Obot and Runlayer to find the right enterprise MCP platform. Explore governance, security, hosting, model access, and open-source flexibility.

What is Obot?

Obot is an open-source, enterprise-grade AI control plane. It gives organizations a single point of control over their MCP servers, model and LLM access, Skills, users, access policies, and auditing from a single control pane. Obot provides a built-in LLM Gateway that extends the same governance to external coding agents like Claude Code and Codex, so model access is managed under the same policies as MCP traffic, not as a separate concern. Obot runs entirely on infrastructure you control and can be deployed from a single Docker container up to a full Kubernetes/Helm deployment, with enterprise capabilities unlocked by a license key on the same open-source build rather than a separate product tier.

What is Runlayer?

Runlayer is an enterprise AI enablement and control platform, not just an MCP gateway. It gives every employee a governed "golden path" to delegate work to AI agents across the 5–20 AI clients a typical enterprise uses — IDEs, chat clients, vertical AI apps, and platforms like Salesforce Agentforce — while giving IT and security teams identity, permissions, policy enforcement, audit logs, and cost control in one interoperability layer. Its MCP Gateway connects clients to a catalog of 18,000+ MCP servers with role-based access and runtime scanning, and its Watch product finds shadow AI activity across employee devices. Runlayer is closed-source and offered primarily as a managed cloud service, with self-hosted deployment behind a customer's VPC available for enterprise customers.

Feature Comparison

Deployment & Licensing

FEATURE OBOT RUNLAYER
Self-hosted deployment
Yes
Yes

– in-VPC or managed cloud

Open-Source
Yes
No

– closed-source

Simple Free-to-Enterprise Pathway
Yes

– single build, license-key to upgrade

No

– enterprise sales-led, no free tier

MCP Server Management

FEATURE OBOT RUNLAYER
Pre-Built Server Directory

Curated catalog

18,000+ servers, scanned before approval

Multi-server Aggregation

vMCPs

MCP Gateway + virtual MCP servers

Configuration as Code (GitOps)
Yes
No

– public GitOps workflow documented

Internal MCP Packaging
Yes
Yes

– package internal APIs as MCPs/skills

Authentication & Access

FEATURE OBOT RUNLAYER
Basic Tier SSO included

Local, GitHub & Google

No

– SSO/SAML via WorkOS is enterprise-only

Enterprise IdP Support

Entra, Okta, JumpCloud & Auth0 – free Community registration or Enterprise license

Okta, Entra, Google Workspace via WorkOS (SSO/SAML, OIDC, SCIM 2.0)

Role-Based Access Control
Yes
Yes

– identity-aware, IdP-synced permissions

Unified API token model
Yes

– single token model

OBO token exchange per agent session

Guardrails & Inspections

FEATURE OBOT RUNLAYER
Tool Filtering

Webhook filters

ToolGuard security models

Network Egress Control
Yes
No

dedicated egress control documented

Shadow AI Detection
Yes

– obot scan on user machine

Yes

– Watch, deployed via MDM (Jamf, Intune, Kandji)

Agent Trajectory Monitoring
No
Yes

– AgentGuard, patented semantic alignment detection

Models, Agents & Skills

FEATURE OBOT RUNLAYER
Model Gateway
Yes

– LLM Gateway for Anthropic/OpenAI

Early access – LLM Gateway, self-hosted only

Multi-Client Coverage

MCP clients + LLM Gateway for coding agents

Yes

– 5–20 client types incl. IDEs, chat, Agentforce

Agent Builder

Obot Chat

Yes

– no-code agent builder, scoped permissions

Skills catalog
Yes
Yes

– Markdown Skills, plugin bundles

Insights & Audit

FEATURE OBOT RUNLAYER
Audit Logs
Yes
Yes
Exportable Metrics & Reports
Yes
Yes

– adoption, cost, and usage analytics

Compliance Certification

SOC 2 Type II in progress – controls in independent observation period; MIT licensed

AARM Extended Conformance (R1–R9)

Which solution works for me?

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