Verde

Enables teams to create a shared knowledge base where members can store, search, and validate information collectively. Provides semantic search across team memories with granular permissions and collaborative verification features.

Provides a shared, persistent memory layer for AI agents, enabling them to recall, memorize, and review user information across different applications.

Enables AI coding assistants to contribute to and query a team-shared project memory, storing human-confirmed decisions with source and scope so work can continue across machines.

Enables AI agents to share a persistent, self-improving memory by ingesting sources like Obsidian vaults, code, transcripts, and session captures, then serving them back through search, classification, synthesis, and token-optimized context briefings. It lets multiple agents read and write the same knowledge base, so each session builds on the last without copy-pasting context.