Plugins
8 plugins@thedotmack
Claude Mem
Memory, search and workflow skills from thedotmack/claude-mem.
19 skills · plugin
@memento-teams
Builtin
Builtin skills from Memento-Teams/Memento-Skills.
8 skills · plugin
@micsapp
Plugin
Persistent memory system for Claude Code - seamlessly preserve context across sessions
5 skills · plugin
curated
C/C++ Debugging
For C/C++ developers needing debugging tools, memory analysis, and GDB integration.
8 skills · plugin
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · plugin
@juliusbrussee
Caveman
Token-compression suite: compressed chat mode plus commit, review, help, stats, memory-compress and subagent-crew skills by Julius Brussee.
7 skills · plugin
@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 · plugin
@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 · plugin
Results for “mem”
13 skills
muratcankoylan Memory Systems
Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
16.9k · bundle
dvcrn Mem0
Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.
32 · bundle
antigravity Mesh Memory
Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.
42.4k
github Pinecone RAG
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.
36.2k
thedotmack Knowledge Agent
Build and query AI-powered knowledge bases from claude-mem observations, enabling focused conversational sessions on specific topics.
kbarbel640-del Ouyang
Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.
1 · bundle
More results
goldentrii Agent Recall
Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.
365 · bundle
diegosouzapw Agno
Build AI agents, multi-agent teams, and agentic workflows using the Agno framework, with reference files covering agents, teams, workflows, memory, knowledge, and deployment.
54 · bundle
affaan-m Knowledge Ops
Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.
226k
neuralblitz Langchain
Build LLM-powered applications with modular components for chains, agents, memory, and retrieval, supporting Python and JavaScript frameworks.
1
mukul975 Assessing Vector And Embedding Weaknesses
Test vector stores for embedding inversion, cross-tenant leakage, and poisoning.
24.6k · bundle
oyi77 Zvec
Provides guidance on using the ZVec in-process vector database for efficient similarity search and embedding storage in agent memory systems.
10
orchestra-research Ml Training Recipes
Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.
10.4k · bundle