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Found 20 Skills
Build an AI agent backend with persistent memory: one Rivet Actor per conversation, queued message handling, and streaming LLM responses as realtime events.
V1.0 - Helps AI agents troubleshoot difficult tasks and record lessons learned into persistent memory to prevent future mistakes and enable continuous improvement.
Use when managing project memory, initializing .agent-memory/, saving session learnings, or running memory maintenance. Handles cross-interface persistent memory for any project.
External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.
Persistent memory that survives across conversations. Automatically remembers important context (API specs, decisions, quirks, preferences) and saves session summaries. Searches past knowledge before starting new tasks. Responds naturally to phrases like "remember this", "what do you know about...", "save this session", or "what did we do last time". All local, zero network.
Token-efficient persistent memory system for Claude Code that extends your session limits by 3-5x. Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode. Activates at session start (if MEMORY.md exists), on "remember this", "pick up where we left off", "what were we doing", "wrap up", "save progress", "don't forget", "switch context", "hand off", "memory health", "save state", "continue where I left off", "context budget", "how much context left", or any session start on a project with existing memory files. This skill solves two problems at once: Claude forgetting everything between sessions, AND sessions hitting context limits too fast. It replaces thousands of wasted re-explanation tokens with a compact, structured memory load that gives Claude full project context in under 2,000 tokens.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
Add knowledge bases and persistent memories to Tavus CVI personas. Use when uploading documents for RAG, enabling personas to reference PDFs/websites, persisting context across conversations, or building personas that remember users.
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned skills), semantic memory (knowledge graph), short-term memory (active context). Use when implementing cross-session persistence, skill learning, context preservation, personalization, or building truly adaptive AI systems with long-term memory.
AI co-worker agent with its own computer, persistent memory, self-evolution, MCP server, and Slack/email identity built on Claude Agent SDK
Persistent memory discipline for Engram contributors. Trigger: Decisions, bugfixes, discoveries, preferences, or session closure.
Personalized brainstorming agent that generates sellable utility ideas (CLI, TUI, GUI, agent tools) tailored to the user's stack and niche, with persistent memory of past suggestions. Triggered by: /spark.