Duvi vs Weavable – Persistent work context for AI agents: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Duvi and Weavable – Persistent work context for AI agents — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Duvi
Duvi DigiIQ, Inc.
Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.
Key features
- Conversational Agent Builder: Creating an agent opens a conversation with a builder that writes the system prompt, picks a model and ingests the websites the agent should answer from, so setup is a dialogue rather than a configuration form.
- Unified Omnichannel Configuration: One agent configuration serves website chat, a WhatsApp number and a phone line, with the same knowledge behind every channel so context is not lost when a customer switches.
- Live Knowledge Lookups: The agent checks your connected store as it answers, so stock and catalogue responses reflect what is actually available at that moment rather than a stale snapshot.
- Website Actions: With the customer's instruction the agent operates the on-page controls you allow, completing the task in front of them instead of handing them a link and instructions.
- Grounded Answering: The agent answers from the pages you point it at and says so when the information is not there, rather than guessing.
- Preview Before Launch: Agents are tested in Preview and only go live once the domain is allowed and a snippet is pasted on your site.
- Broad Connector Library: Sign-in level integrations for Shopify, WooCommerce, Wix, Salesforce Commerce Cloud, Stripe, PayPal, Notion, Airtable, Webflow, Linear, monday.com, Sentry, Supabase, Cloudflare and Zapier.
- Team Workspace: Staff query the day's conversations and orders through their own authorized connection, so the answer reflects the order a customer placed moments ago.
Best for
- Ecommerce Support Deflection: A Shopify store answers stock, shipping and returns questions automatically, with the agent reading live catalogue data instead of a static FAQ.
- Lead Capture With Context: An agent takes a caller's email or number and routes it to the team with the whole conversation attached, so nobody asks the customer to repeat themselves.
- Phone Line Replacement: A small team replaces a recorded phone menu with an agent that answers real questions using the same knowledge base as the website chat.
- WhatsApp Commerce: A brand serving customers primarily on WhatsApp runs the same support agent there without maintaining a separate bot.
- Startup Support Coverage: An early-stage team keeps answering customers around the clock while engineers focus on building the product.
- Enterprise Support Augmentation: An established support operation adds agents to an existing stack via connectors rather than replacing its tooling.
W
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.)
- Persistent, live work context with relationship extraction and maintenance
- Structured context delivery suitable for agent workflows (reduces ad-hoc plumbing)
- Real-time or near-real-time synchronization of updates from integrated systems
- Designed to be stack-agnostic — can integrate with multiple SaaS platforms
- Scoping and filtering to provide only relevant context per task or workflow
Best for
- Customer Support Assistants: Provide chat agents with live, consolidated context from Zendesk, Slack, and CRM history so they resolve tickets faster with up-to-date background.
- Sales Personalization: Equip outreach or proposal-generation agents with scoped HubSpot CRM timelines and contact relationships for tailored messaging and accurate follow-ups.
- Incident Response Automation: Feed Jira issues, Slack incident channels, and change logs into responder agents to accelerate diagnosis and remediation with relevant recent events.
- Knowledge Worker Augmentation: Supply drafting or summarization agents with curated project context and documents from Notion and other sources to produce coherent reports.
- Cross-System Workflows: Orchestrate multi-step automations that require synchronized state across tools by giving orchestration agents a single source of scoped truth.
- Agent Testing & Development: Let developers iterate on agent behavior using stable, replayable context slices instead of rebuilding environment plumbing for each test.
- Supplying customer history and ticket context to conversational support agents
- Feeding scoped CRM and deal context to sales automation agents
- Providing developer or ops agents with up-to-date issue and deployment context from Jira/Slack
- Orchestrating multi-tool workflows where agents need consolidated, persistent state
- Enabling knowledge retrieval and action-taking agents with curated, live document/context slices