Store and retrieve agent memories via Fold semantic search and filesystem.
npx skills add https://github.com/Generation-One/fold --skill fold-memory
Please help me install this Agent Skill. Skill: fold-memory Source: https://github.com/Generation-One/fold/tree/main/skills/fold-memory Command: npx skills add https://github.com/Generation-One/fold --skill fold-memory
This Skill provides AI agents with persistent memory, allowing them to recall past conversations, decisions, and knowledge, thereby improving context retention and task performance.
Use the fold-memory skill to recall what we discussed about authentication.
High-intent search queries and answers about installing and using this skill.
Persistent memory for AI agents is provided using Fold's semantic search and filesystem storage, allowing agents to store and recall past conversations, decisions, and knowledge across sessions.
Yes, this Skill integrates with Fold's local filesystem provider to index markdown files, enabling any agent with filesystem access to manage and search memory using semantic search.
Yes, OpenClaw agents are explicitly supported for remembering, recalling, managing, writing, searching, and designing memory workflows using the integrated semantic search features.
Semantic search uses Fold to find relevant memories based on natural language queries, allowing an AI assistant to recall specific architectural decisions made weeks ago by querying its memory storage.
The best way to organize agent memory is by categorizing memories into hot, warm, and cold layers, which ensures efficient access and context retention for ongoing development tasks.
No external dependencies are required to enable conversation recall, as the Skill relies on Fold's local filesystem provider and supports any agent with filesystem access for memory management.
whd4Install the gbrain CLI and initialize a local PG Lite or Supabase brain on macOS.
ourmemSearch the ourmem persistent memory store with natural language queries.
Dqz00116Create and manage layered knowledge bases with hot, cold, and warm caches.
bychrisrStore and retrieve agent knowledge in markdown and yaml files using PARA.
