Gives AI coding agents persistent, searchable typed memory stored as plain markdown files, allowing them to record decisions, contracts, tasks, evaluations, and session logs and update entries by id.
Provides coding agents with persistent local memory by exposing tools to save, search, and retrieve decisions, bugs, and context as Markdown with hybrid keyword and semantic search.
Gives AI coding agents persistent, cross-session memory by saving insights as atomic markdown cards with bidirectional links and recalling relevant ones before new work. Requires no vector database or embeddings, and cards can be shared across clients or synced between devices via git.
Gives AI coding agents persistent cross-session memory by storing atomic markdown knowledge cards with bidirectional wiki-links that agents recall before starting work. Syncs across clients and devices via git without any vector database or embeddings.
Enables AI coding agents to read and write persistent, local-first memory across sessions and projects, with semantic search, global guidelines, and optional autonomous task execution.