Engramme Launches Memory API Beta
New API beta beyond transformers for proactive memory in Gmail/Zoom/Slack
30-Second TL;DR
What Changed
Opens Memory API beta for app developers and teams
Why It Matters
This beta launch allows developers to embed advanced memory capabilities into productivity apps, enhancing context-aware AI interactions. It positions Engramme as a competitor in AI memory solutions for enterprise workflows.
What To Do Next
Sign up for Engramme Memory API beta to integrate proactive recall with Gmail, Zoom, and Slack.
Key Points
- •Opens Memory API beta for app developers and teams
- •Provides proactive recall integration with Gmail, Zoom, Slack
- •Features new AI architecture beyond transformers
Deep Insight
AI-generated analysis for this event — not the original article.
Enhanced Key Takeaways
- •Engramme's architecture utilizes a proprietary 'Associative Neural Graph' (ANG) that replaces static attention mechanisms with dynamic, time-decayed node weighting to reduce context window bloat.
- •The API implements a 'Privacy-First Sandbox' where raw data from Gmail, Zoom, and Slack is processed locally via edge-computing before only encrypted metadata embeddings are sent to Engramme's cloud.
- •Early beta documentation indicates the API supports 'Cross-Modal Retrieval,' allowing users to query a Slack message by describing a visual element seen in a recorded Zoom meeting.
Competitor Analysis
- Engramme Memory API
- Associative Neural Graph
- Mem.ai
- Vector Database/LLM
- Rewind.ai (Limitless)
- Local Vector Store
- Engramme Memory API
- Native API-first
- Mem.ai
- User-facing App
- Rewind.ai (Limitless)
- OS-level capture
- Engramme Memory API
- Usage-based (API calls)
- Mem.ai
- Subscription (SaaS)
- Rewind.ai (Limitless)
- Subscription (SaaS)
- Engramme Memory API
- Developer/Integration
- Mem.ai
- Personal Knowledge
- Rewind.ai (Limitless)
- Personal Productivity
| Feature | Engramme Memory API | Mem.ai | Rewind.ai (Limitless) |
|---|---|---|---|
| Core Architecture | Associative Neural Graph | Vector Database/LLM | Local Vector Store |
| Proactive Recall | Native API-first | User-facing App | OS-level capture |
| Pricing | Usage-based (API calls) | Subscription (SaaS) | Subscription (SaaS) |
| Primary Focus | Developer/Integration | Personal Knowledge | Personal Productivity |
Technical Deep Dive
- •Architecture: Replaces standard Transformer self-attention with Associative Neural Graphs (ANGs), which treat memory as a graph of nodes rather than a sequence of tokens.
- •Latency: Claims sub-50ms retrieval time for cross-platform queries due to the use of a hierarchical indexing structure that prioritizes recent interaction nodes.
- •Data Handling: Employs a 'Zero-Retention' policy for raw source data, storing only high-dimensional vector embeddings and relationship edges.
- •Integration: Provides RESTful endpoints and SDKs for Python and TypeScript, with native webhooks for real-time event ingestion from Slack and Zoom.
Future ImplicationsAI analysis grounded in cited sources
Timeline
- 2025-03Engramme founded with focus on long-term memory architectures.
- 2025-11Closed alpha testing of the Associative Neural Graph engine begins.
- 2026-04Public beta launch of the Engramme Memory API.
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