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engram
Agent memory system with retain-recall-reflect loop. Hybrid search, entity resolution, observation synthesis. TypeScript library + MCP server.
2stars
0forks
TypeScript
agent-memoryagentsaiai-agentsai-infrastructureembeddingsllmmcpmemorymodel-context-protocolsqlitetypescript
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via npx (Node)
Universal installANY TOOL
$ npx skillcity@latest ReallyArtificial/engramAuto-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
npx -y engram
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"engram"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
engram — 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