| What it does | Open-source memory platform for AI agents
| Credit infrastructure for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | DE
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| Pricing model | Not given
| Freemium
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| Pricing | 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.
| Welcome credit: $2 (personal) or $10 (Instinct). Prepaid packs: $14, $40, or $60 USD. Pay-per-call pricing varies by service: from <0.1¢ for LLM answers, ~1¢ for web search and scraping, 10-30¢ for deep research, from 5¢ for lead enrichment, 25¢ for company signals, from 33¢ for image and media gene
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| Key features | - 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
| - Buy and hold tokenized stocks at 100% loan-to-value
- Access hundreds of services via single balance
- Per-call price disclosure before execution
- MCP, TypeScript SDK, and Python SDK integration
- Per-agent spending limits and controls
- GitHub-based credit line with scoring
- Access to LLMs, search, scraping, compute, storage, and media services
- Holdings remain invested while credit is used
- Weekly or on-demand billing via card on file
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| What makes it different | - 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
| - First credit line backed by tokenized stock holdings at 1:1 LTV
- One unified balance for all agent services and payments
- No subscription or monthly minimum; pure pay-per-call model
- Price transparency with exact cost shown before each call
- Holdings never automatically sold; credit is separate repayment obligation
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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 |
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| DR (Domain Rating by Ahrefs) | 70 ● no change since last check | 11 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 3 |
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| Citation Flow (Majestic) | 43 | 42 |
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| Referring domains (Majestic) | 1089 | 210 |
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Vaaya