Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.
Gives AI agents durable project memory via the Model Context Protocol, allowing them to read tasks, record decisions, search context, and sync snapshots to the cloud.
A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.
A local-private context-handoff tool for AI agents, preserving decisions, evidence, and verbatim code in a SQLite ledger and providing zone indicators to prevent context rot across sessions.
Structured, versioned context for AI agents. Context Nest organizes knowledge as markdown documents in a vault, with versioning, integrity verification, and a query language.