Relay vs Weavable – Persistent work context for AI agents: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Relay and Weavable – Persistent work context for AI agents — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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Relay
Relay
AI phone receptionist that builds itself from a business's website to answer every call and book, reschedule, or cancel appointments 24/7.
Key features
- One-Click Build: Paste a website and Relay drafts the agent profile, knowledge base, prompt, and call wiring in about 38 seconds.
- 24/7 Call Answering: Picks up every call day or night in the caller's local time, with no voicemail or hold music.
- Real Calendar Booking: Checks live availability and writes appointments, reschedules, and cancellations directly to the business's existing booking system.
- Booking Integrations: Connects to 7+ systems including Google Calendar, Square, Calendly, Outlook, Housecall Pro, Workiz, and Vagaro with one sign-in.
- Grounded Answers: Answers caller questions from the business's own facts and knowledge base rather than guessing.
- No-Config Setup: Requires no dashboards, prompt engineering, or manual call-flow building.
Best for
- Missed-Call Recovery: Capture bookings from calls that would otherwise ring out when staff are busy or closed.
- Appointment-Based Businesses: Let salons, clinics, and home-service providers automate booking, rescheduling, and cancellations by phone.
- After-Hours Coverage: Answer and book calls 24/7 without hiring overnight reception staff.
- Fast Agent Deployment: Stand up a working phone agent from a website link without engineering time.
- FAQ Handling: Answer common caller questions about hours, services, and pricing from the business's own information.
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Weavable – Persistent work context for AI agents
Weavable
Persistent, structured work-context layer that ingests, scopes, and serves live context from business tools to AI agents via a unified endpoint.
Key features
- Pre-built Connectors: Ingests updates and records from HubSpot, Jira, Slack, Zendesk, Notion and other common business systems to centralize source data.
- Preprocessing & Structuring: Extracts entities, relationships, timelines and summaries from raw updates to convert scattered signals into structured, machine-friendly context.
- Context Scoping: Filters and scopes context per agent, workflow, or role to deliver only the relevant slice of data and reduce prompt size and noise.
- Single MCP Endpoint: Serves scoped, maintained context to any agent or orchestration layer through a unified endpoint, simplifying integration and routing.
- Persistence & Live Updates: Maintains continuous, up-to-date work context so agents retain continuity across sessions and reflect recent system changes.
- Policy & Maintenance Controls: Configurable rules for retention, update frequency, and scoping to keep context accurate, curated, and privacy-compliant.
- Single MCP endpoint to serve scoped context to any agent
- Pre-processes and scopes context from external tools (HubSpot, Jira, Slack, Zendesk, Notion, etc.)