Fulcra provides a human‑owned, unified memory layer that aggregates personal context from multiple AI agents and applications into a single, browsable store. Users grant fine‑grained permissions for agents to read and write, while an immutable audit log records every update, allowing full traceability, correction, and revocation of data.
Funding
Funding not disclosed
Founders
Product
Problem
AI applications store personal context in isolated, proprietary silos, causing users to lose continuity of information across assistants, health tools, calendars, and other services. This fragmentation prevents a coherent, user‑controlled view of one’s own data and makes it difficult to manage privacy or transfer insights between tools.
Solution
Fulcra offers a human‑owned, unified memory layer that aggregates personal context from multiple AI agents and applications into a single, browsable store. Users grant permission for agents to read from and write to this shared memory, while retaining full visibility into each contribution. Every update is logged, enabling traceability, correction, and revocation of data at any time. The memory dynamically enriches as interactions accumulate, creating a growing, interconnected representation of the user that can be accessed across diverse tools. Because the store is owned by the individual, it remains portable and can be exported or shared selectively, ensuring continuity and privacy across the AI ecosystem.
Target Audience
Primary customers are individuals who rely on multiple AI assistants and data‑driven apps—such as health trackers, productivity tools, and personal finance services—and seek a secure, transparent way to manage their personal data across these platforms.
Features
- Centralized, human‑readable memory store that consolidates files, learned data, and AI‑generated insights from all connected agents
- Fine‑grained permission controls allowing users to approve, trace, and revoke each agent’s read/write access
- Immutable audit log of all memory updates for full transparency and easy correction of erroneous entries
- Dynamic compounding of context where each interaction enriches the knowledge graph, improving relevance over time
- Compatibility with a wide range of domains (finance, health, productivity, custom agents) via open Life API and MCP server integration
- Data portability and sharing options, including family/friend datashare and export capabilities, while keeping ownership with the user