Agent Orchestration Context Manager Agent
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-
by Model Context Protocol
A reference MCP server that stores information as a knowledge graph of entities, relations, and observations, so an agent can remember facts about you and your projects across conversations. The graph persists locally and the agent can read from and write to it, enabling continuity that a single chat context can't provide.
The Model Context Protocol (MCP).
Setup steps with copy-paste config. Sources are cited under each method.
Requires: Node.js
Add to your MCP config
The graph persists to a local file; no external service or key is needed.
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
}
}
}Tell the agent what to remember
Ask it to store key facts; on later sessions, ask it to recall them.
Copy-paste prompts written to exercise this plugin, with what to expect.
You want the agent to retain facts about your stack across sessions.
Remember that this project uses Postgres, deploys on Fridays, and that Ana owns the billing service. Next time I ask, recall these.
What to expect: The agent writes those facts into the memory graph and can recall them in a later, separate conversation.
Real prompts from the IterPrompt library you can copy or run.
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In a local file managed by the server, structured as a knowledge graph. Nothing is sent to a third-party service by the reference server.
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The facts on this page and where they come from. Anything unverified is labeled — we'd rather say "unknown" than guess.
Install steps, pricing, and availability change often. Always confirm on the official page before relying on setup details.