Multi-source intelligence fusion in one workspace

Intelligence analysis demands the ability to correlate data across OSINT, HUMINT, SIGINT, and GEOINT sources. MemoryJar provides a unified workspace where analysts can ingest data from multiple collection disciplines and map the relationships between entities — people, organizations, locations, devices, communications, and financial transactions. Instead of maintaining separate spreadsheets, link-analysis tools, and note-taking applications, everything lives in one traversable graph with structured notes attached to every node. Import Nmap scans for network intelligence, paste OSINT findings directly into rich-text notes, and watch the connections emerge as you build your picture. Every entity is typed — person, organization, IP address, domain, device, phone number, email, location — giving your graph semantic meaning that generic mind-mapping tools cannot provide.

Entity-relationship mapping for target network analysis

Target network analysis is the core of intelligence work. MemoryJar's graph view lets you map the full network of relationships around a target — associates, communication patterns, organizational affiliations, financial flows, and digital footprints. Each node in the graph represents a typed entity with its own rich-text notes panel where you can document sourcing, confidence levels, and analytical assessments. Edges between nodes represent relationships — works for, communicates with, funds, owns, operates — and can be labeled and annotated. The outline view provides a CherryTree-style hierarchical tree of the same data, letting you switch between visual graph analysis and structured note-taking without losing context. This dual-view approach mirrors how analysts actually think: sometimes you need the bird's-eye graph, sometimes you need to drill into the details.

Threat correlation and pattern recognition

Correlating threats across multiple reports, time periods, and sources is where intelligence analysis creates value. MemoryJar's 17 entity types — including threat actors, campaigns, TTPs, infrastructure indicators, and organizational targets — let you build structured threat models directly in the graph. As you add new intelligence, connections to existing entities surface automatically through the visual layout. Color-coded entity types make pattern recognition intuitive: clusters of related infrastructure, overlapping organizational affiliations, or repeated communication patterns become visible at a glance. Export your finished analysis as JSON for integration with other platforms, or as Markdown for inclusion in intelligence reports.

Secure, air-gapped operation

Intelligence work demands operational security. MemoryJar runs as a portable desktop application with zero cloud dependency. No data ever leaves your machine unless you explicitly export it. The application works in fully air-gapped environments — no internet connection required after initial download. For team operations, the LAN collaboration mode enables real-time shared workspaces without any data touching the public internet. All data is stored locally in an encrypted database on your machine. This makes MemoryJar suitable for environments where cloud-based tools are prohibited by policy, regulation, or operational necessity.