Browse TouchDesigner experimental techniques by category to get code snippets, operator chains, and setup notes for GLSL, GPU compute, machine learning, generative systems, audio-visual, networking, and Python advanced.
MIT
307,854 tools. Last updated 2026-07-28 05:07
"Context Memory Systems and Techniques" matching MCP tools:
- Search Beaker systems by CPU, architecture, memory, pool, and owner. Combine filters with AND logic to find matching systems.MIT
- 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
- Create and execute migration plans between different memory systems, validate compatibility, and transfer data from source to target schemas.MIT
- Search for Uyuni systems by partial hostname to retrieve matching system names and IDs.Apache 2.0
- List all accessible context spaces, including owned and shared, with each space's memory count.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.Last updated1GPL 3.0
- AlicenseBqualityDmaintenanceAn 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 updated214MIT
Matching MCP Connectors
MCP server for accessing curated awesome list documentation
One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.
- List all accessible context spaces with their memory counts, including those you own and those shared with you.MIT
- Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.MIT
- Store memory observations with optional tags, importance ratings, context, and automatic expiration to manage and organize information effectively.MIT
- Get a snapshot of current memory context, including recent memories, stats, and audit activity, to quickly see what your agent knows right now.MIT
- Retrieve a list of all systems affected by a specified CVE. Use this to identify vulnerable systems for remediation.Apache 2.0
- Clear the stored API key for a named company context to revoke access and remove credentials from server memory.Apache 2.0
- Build a prompt-ready memory context from static profile, dynamic recent context, and query hits, enabling direct model injection without an LLM call.MIT
- Create a new context, either vector or memory, in a Lamatic project to store and retrieve data for AI workflows.MIT
- Create or update memory entries including learned patterns, explicit rules, and session context for repositories, files, or functions.MIT
- Retrieve systems from Red Hat Insights Vulnerability inventory with system name, RHEL version, last check-in, and CVE count, showing both affected and not affected systems.Apache 2.0
- Store information with optional context, importance score, and tags for later retrieval and analysis across conversations.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity to find techniques matching your threat model.MIT
- Retrieve exploit source code by platform ID to analyze attack techniques and review proof-of-concept code.MIT