Store important notes, decisions, and preferences in persistent memory for access across sessions. This tool helps maintain project context and user patterns by saving searchable information to local storage.
MIT
150,411 tools. Last updated 2026-05-28 05:14
"Understanding Persistent Memory and Context Management" matching MCP tools:
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- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT
- Append new entries to persistent memory for AI agents. Store market observations, trade records, and notes to maintain long-term context and recall.Business Source 1.1
- Store agent conversation memory in persistent database to maintain context across sessions for continuous AI interactions.MIT
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Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.
Cloudflare Workers MCP server: agent-memory
- Store important context, decisions, and preferences in persistent memory that lasts across sessions. Categorize memories as context, preference, learning, work, or general for future recall.
- Store key-value pairs in persistent memory to save user preferences, project decisions, and session context for future use.
- Save notes, context, or insights to the agent's persistent memory for future recall, with optional metadata and keyword indexing.MIT
- Store and recall persistent memory across agents, sessions, and tools. Enable context retention and data sharing between different AI agents for consistent interactions.
- Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.MIT
- Manages memory storage for context-aware AI agents, enabling persistent data handling and retrieval within the AWS AgentCore framework.
- List all context spaces you own or have access to, with memory counts returned as JSON.MIT
- Save information like preferences, lessons, or project context to a persistent local database. Memories are retained across sessions and can be retrieved later.MIT
- Store user facts, preferences, decisions, and context for persistent recall across conversations. Enables AI agents to remember important information through semantic search and knowledge graphs.MIT
- Save key-value pairs to persistent memory across sessions for remembering user preferences, installed skills, or project context.MIT
- Store memory observations with tags, importance, context, and optional auto-expiration. Persist AI agent knowledge with configurable TTL.MIT
- Delete a specific memory by providing its unique ID. Removes unwanted or outdated memories from persistent storage.MIT
- Remove stored information from persistent memory by specifying its unique identifier to maintain accurate long-term context.MIT
- Store text information and metadata in a Qdrant collection for later retrieval, enabling persistent memory across sessions.Apache 2.0