Unabyss
Shared memory layer for AI agents that syncs context from tools like Gmail and Slack and makes it portable across
Recommended for
- Idea-Stage
- Pre-Seed
- Seed
- Series A
SSIE
Stage Fit Recommendations
Following data shows why Unabyss is recommended for listed teams. The Fit Score represents the percentage fit of Unabyss to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Idea-Stage
$0
79- Data encryption at rest and in transit
- Free trial available to evaluate before purchasing
- Self-serve signup from $13/user/mo, no sales call required
Pre-Seed
$0–$10k MRR
90- Automated data backup policy
- Data deletion and right to erasure
- Connects AI tools to shared context
- Syncs with 25+ apps including Slack, Gmail, Notion
Seed
$10k–$100k MRR
90- Data export and portability
- Staff security awareness training
- Maintains live, self-updating memory across tools
- Provides relevant context slices to each AI tool
- Supports 10+ AI tools including Claude, ChatGPT, Cursor
Series A
$100k–$500k MRR
86- Role-based access control with admin audit logging
- Exports and moves context between models
- Integrates with GitHub, Linear for developer context
- Separates client contexts for agencies
Unabyss is a shared memory layer for AI agents that eliminates the need to re-explain context repeatedly. It builds from the tools you already use, including Gmail, Slack, GitHub, Notion, and Google Drive, then makes that context portable across Claude, ChatGPT, Cursor, Gemini and other AI agents via MCP. The platform is MCP-native and acts as a self-updating context layer for your AI workflows. It has synced over 1,000,000 items and is backed by ElevenLabs grants. Unabyss has been recognized as a Product Hunt product of the day, week, and month.
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