supermemory
supermemory.aiMemory and continual learning engine for AI agents
Memory and continual learning engine for AI agents
Maintain schema markup and connected entity definitions across enterprise content.
Build AI agents, flows and suites from your own methods and files, then sell them under your brand.
Create charts and diagrams from text or data with AI.
A self-hosted network monitoring framework that polls device data and turns it into RRDTool graphs.
Unified context layer for enterprise AI agents
AI agents that review and test pull requests with full context of the codebase.
Use professional skills in a defined pro bono engagement
Expert-authored explanations of news and research
Share cached task results and distribute Nx CI work across workers.
Correlate operational alerts and service signals to prioritize incidents by business impact.
An outliner that turns notes into searchable, reusable knowledge with tags and saved views.
A native Markdown notebook that keeps notes as files and adds linked-note tools.
A database engine with an AQL query workflow for collections and connected data.
Compiles and optimizes machine-learning models for deployment across hardware targets.
Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.
Explore Lightning nodes, decode invoices and monitor channel activity
Paint across texture tiles and export controlled channel or Bake Point variants
Fit a reusable base topology to scanned or sculpted characters
Generate terrain, erosion maps and textured scenes from connected devices
Discover network devices, graph their data, and send alerts from an SNMP-based monitoring system.
Explore process measurements, compare statistical views and investigate quality or business patterns.
Screen addresses and follow their incoming and outgoing transfers