$ loading_
Give AI coding agents persistent cross-project memory and connected context retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hive-memory" yet — see the docs or source repo.
Search hive-memory for past implementations related to JWT auth, middleware wrappers, and permission checks across our projects. Rank them by reusability and summarize the patterns I can reuse in my current project.
A list of relevant cross-project code memories, linked modules, and reusable implementation recommendations.
Store the key decisions, dependencies, known pitfalls, and unfinished items from this refactoring task into hive-memory, and automatically retrieve them at the start of future sessions for the coding agent.
An updatable project memory that restores relevant context automatically in future tasks.
Use hive-memory to find historical issues semantically related to 'duplicate async task consumption' and 'queue idempotency handling', then list their solutions, impact scope, and applicability conditions.
Semantically related issue cases and matching solution approaches to support faster decisions.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI coding agents persistent local shared memory across agents.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI coding agents persistent memory for project context and decisions.
Give AI coding agents searchable local project memory with safe structured updates.
Give AI agents persistent memory across sessions with efficient on-demand context loading.