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147,912 tools. Last updated 2026-05-27 19:20

"Context Memory Systems and Techniques" matching MCP tools:

  • Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.
    MIT
  • List all context spaces you own or have access to, with memory counts returned as JSON.
    MIT
  • Generate a session orientation report by reading identity, memory, and transcripts. Detects gaps, calculates an orientation score, and surfaces open loops and PreCompact captures to establish context before work.
    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

Matching MCP Servers

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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
    Last updated
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    MIT
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    Enables LLM assistants to store, retrieve, and update user-specific context memory including travel preferences and general information through a chat interface. Provides analytics on tool usage patterns and token costs for continuous improvement.
    Last updated

Matching MCP Connectors

  • Stop re-explaining yourself to Agents. Give it the right context, right when needed.

  • 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.

  • Add new observations to an existing entity in a knowledge graph memory. Append facts like 'Lives in Seattle' to a person or project, with optional context and location settings.
    MIT
  • Reload project-local Axint documentation after context compaction to restore workflow memory without re-reading the entire site.
    Apache 2.0
  • Before starting work, retrieve a condensed project context snapshot: recent sessions, favorites, and stats to load memory.
    MIT
  • Provides onboarding guidance for using the Memento memory system, including retrieval flows, storage protocols, and best practices for persistent project context.
  • Delete conversation history to free memory and reset context when switching topics or completing tasks. Pass the conversation ID to remove all associated messages.
    MIT
  • Condense a conversation session into structured knowledge and save it to long-term memory. Ideal for closing a session or managing large context.
    MIT
  • Records executed trades with market context and reflections to build a memory bank for analyzing performance and improving future trading decisions.
    MIT
  • Initialize an agent's working memory for a new task by providing operating rules and relevant context, with suggestions for updating shared memory when needed.
    AGPL 3.0
  • Retrieve detailed product specifications including available placements, printing techniques, sizes, colors, and design requirements for Printful catalog items.
    MIT
  • Audit a memory node by inspecting its evidence, validity window, and connected context. Returns the node, evidence records, related nodes, and edges for understanding why a memory exists or how it changed.
    Apache 2.0
  • Search a semantic memory graph using natural language queries to find relevant information and discover connected context through graph traversal.
    MIT