Loading...
Loading...
Found 20 Skills
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Guided project onboarding for new codebases. Helps agents understand project structure, build systems, test commands, and development workflows by creating persistent knowledge memories.
Search MOM's persistent memory. Use when user asks what was decided, discussed, preferred, tried, learned, or remembered about a specific topic.
Framework-agnostic persistent memory and self-improvement loops for AI agents. Scaffolds shared state, task queues, and learnings files that can be read/written by Claude, Gemini, and Antigravity. Use this to initialize an Agentic OS layer in any workspace and instruct agents on how to use it.
Agent skill for safla-neural - invoke with $agent-safla-neural
Add persistent memory to AI coding agents using agentmemory - remembers context, preferences, and decisions across sessions
Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.
ByteRover CLI (brv) - Persistent memory layer for AI coding agents with context trees, knowledge storage, and cloud sync