Langbase vs Relevance AI

Detailed side-by-side comparison to help you choose the right tool

Langbase

🟡Low Code

Agent Platforms

Serverless AI agent platform with composable pipes, managed memory, and one-click deployment for building production AI agents.

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Starting Price

Free
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Relevance AI

🟢No Code

Agent Platforms

Platform to build and deploy business agents with workflow automations. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

Scroll horizontally to compare details.

FeatureLangbaseRelevance AI
CategoryAgent PlatformsAgent Platforms
Pricing Plans18 tiers11 tiers
Starting PriceFreeFree
Key Features
    • • Workflow Runtime
    • • Tool and API Connectivity
    • • State and Context Handling

    Langbase - Pros & Cons

    Pros

    • ✓Zero infrastructure management
    • ✓Composable architecture scales naturally
    • ✓Generous free tier with usage-based pricing
    • ✓Fast from prototype to production
    • ✓Multi-model flexibility

    Cons

    • ✗Less control than self-hosted frameworks
    • ✗Vendor lock-in for Pipe configurations
    • ✗Limited to platform's execution model
    • ✗Smaller community than open-source alternatives

    Relevance AI - Pros & Cons

    Pros

    • ✓Visual agent and tool builder accessible to business teams without coding — fastest path from idea to deployed agent
    • ✓Pre-built integrations with HubSpot, Salesforce, Google Workspace, and common business tools
    • ✓Custom tool builder lets you create API integrations visually without writing code — chain API calls with transformations
    • ✓Configurable autonomy levels from fully autonomous to human-approval-required for each agent action
    • ✓Agent-as-worker positioning with role-based configuration (BDR, support, research) aligns with business team thinking

    Cons

    • ✗Limited flexibility for advanced agent patterns — no custom state machines, graph-based workflows, or multi-agent orchestration
    • ✗Pricing can scale quickly for high-volume usage with many agents running frequent actions
    • ✗Visual builder has limits — complex conditional logic and data transformations are harder to express than in code
    • ✗Platform dependency — agents, tools, and workflows are tied to Relevance AI's infrastructure

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    🔒 Security & Compliance Comparison

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    Security FeatureLangbaseRelevance AI
    SOC2—✅ Yes
    GDPR—✅ Yes
    HIPAA——
    SSO—✅ Yes
    Self-Hosted—❌ No
    On-Prem—❌ No
    RBAC—✅ Yes
    Audit Log—✅ Yes
    Open Source—❌ No
    API Key Auth—✅ Yes
    Encryption at Rest—✅ Yes
    Encryption in Transit—✅ Yes
    Data Residency—US, EU
    Data Retention—configurable
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    Ready to Choose?

    Read the full reviews to make an informed decision

    Review LangbaseReview Relevance AI