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mnemosyne-engine
A production-grade LLM context compression and retrieval engine built entirely on the Python standard library. It solves the single biggest bottleneck in LLM agent effectiveness: context window waste.
1stars
0forks
Python
code-retrievalcontext-compressionllmmcppythonzero-dependencies
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest castnettech/mnemosyne-engineAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx mnemosyne-engine
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mnemosyne-engine": {
"command": "uvx",
"args": [
"mnemosyne-engine"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mnemosyne-engine — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt