Packs
7 packs@thedotmack
Claude Mem
Memory, search and workflow skills from thedotmack/claude-mem.
19 skills · pack
@micsapp
Plugin
Persistent memory system for Claude Code - seamlessly preserve context across sessions
5 skills · pack
curated
C/C++ Debugging
For C/C++ developers needing debugging tools, memory analysis, and GDB integration.
8 skills · pack
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · pack
@juliusbrussee
Caveman
Token-compression suite: compressed chat mode plus commit, review, help, stats, memory-compress and subagent-crew skills by Julius Brussee.
7 skills · pack
@micsapp
Arscontexta
Conversational derivation engine — generate agent-native memory architecture from natural conversation. 15 kernel primitives, 26 commands, 17 feature blocks, 3 presets.
10 skills · pack
@pwdev-solucoes
Pwdev Code
Spec-driven development framework v2.3 — 8 real subagents (incl. advisor), per-task model routing, curated memory graph, opt-in parallel waves, external CLI delegation (Codex/OpenCode/Kimi/Gemini/Kiro), simplification pass, strict verify, audit hooks, 22 commands
2 skills · pack
Results for “memory”
6 skillsrecallmax
Injects up to 1 million tokens of external context into AI agent memory, auto-summarizes conversations with tone and intent preservation, and compresses multi-turn history into dense token sequences.
42.4k
llm-security
Conduct authorized security assessments of LLM applications and AI agents, covering prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.
12.8k · bundle
langchain
Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.
1
More results
evolving-ai-agents
Optimize AI agents through automated evolution cycles using LLM-driven mutation of prompts, skills, and memory against measurable benchmarks.
10.4k · bundle
n8n-agents
Design n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.
5.7k · bundle
context-engineering-advisor
Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.
5.6k