Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Provides persistent, searchable AI agent memory with real-time capture, vector search, and nightly LLM curation for long-term recall on local hardware.
MCP server for Clude's 4-tier cognitive memory system — store, recall, search, and dream. Built on Supabase + pgvector with type-specific decay, Hebbian asso...
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.
Cloud-persistent memory for AI agents. Stateless plugins + TiDB Serverless = cross-session recall, multi-agent sharing, and hybrid vector + keyword search. W...
Structure study sessions, manage materials, and prepare for exams with active recall techniques.
Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Tri
Code snippet manager for your terminal. Save, organize, search, and recall frequently used code snippets, shell commands, and text templates. Tag and categor...
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context acr
High-precision memory with 100% recall accuracy for long contexts.
Recall memories from MemOS Cloud before responding. Use this skill when you need context about user's previous conversations, preferences, or decisions.
Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Write session summaries to daily memory files and search session history so OpenClaw can recall and cite past conversations.
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Search, summarize, and extract insights from your Limitless AI pendant life logs. Supports keyword and semantic search, date range queries, memory recall, an...
Memory infrastructure for AI agents. Persistent storage, semantic recall, reputation tracking, cross-agent pools, and time-travel snapshots. Wallet-based aut...
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), o
Persistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Structured AI agent memory with categorized storage, MD5 duplicate detection, consolidation, keyword recall, and export in Markdown or JSON formats.
The best way to access Telegram message history. Use this skill whenever the user asks about their Telegram messages, chats, DMs, or groups — search, summarize, extract action items, recall conversa