| What it does | AI Platform for Voice & Chat Agents
| Open-source memory platform for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Paid
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| Pricing | Credits-based subscription plans: Starter ($200/mo), Growth ($500/mo), Business ($1000/mo), and Enterprise (custom). All usage types (chat, voice, SMS, workspace, transcription) draw from same monthly balance at tiered per-unit rates.
| Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
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| Key features | - AI Agent Builder - Build and customize agents without coding
- Workspace - Manage agents and conversations in one collaborative environment
- Real-time AI assistance with contextual hints during live conversations
- Multi-channel support - Voice calls, SMS, and web chat
- Knowledge Base for instant access to information
- Call transcription and automated summaries
- Dashboard analytics and call metrics
- Call transfer capabilities to phone numbers or call centers
- Integrations with third-party platforms via API and webhooks
- Support for over 20 languages and multiple voice options
| - Unified vector search, knowledge graphs, and relational storage
- Automatic knowledge graph generation from data sources
- Multi-tenant support with isolated workspaces
- Data source integrations (Slack, Notion, Google Drive, GitHub, etc.)
- Self-improving memory that learns from use
- Multiple deployment options (cloud, self-hosted, air-gapped)
- Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP)
- Support for multiple vector and graph databases
- GDPR compliance and encryption at rest and in transit
- Built-in graph visualization of company brain
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| What makes it different | - Minimal setup time - Go live instantly with no IT headaches or long setups
- No-code agent builder suitable for non-technical users
- Natural conversation flow - Customers don't realize they're talking to AI
- Bundled pricing with no hidden model or infrastructure fees
- Up to 80% automation of routine calls freeing teams for complex issues
| - Combines vectors with graph relationships and generated data models for connected context retrieval
- State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens)
- Keeps memory costs flat as data grows compared to baseline LLM approaches
- Fully open-source with no database lock-in
- Updates memory as source data changes, not just static snapshots
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 59 ▼ −1 (down) since last check | 70 ● no change since last check |
| Trust Flow (Majestic) | 20 | 14 |
| Citation Flow (Majestic) | 32 | 43 |
| Referring domains (Majestic) | 256 | 1089 |