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# @rawcontext/engram-mcp
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Model Context Protocol (MCP) server providing intelligent, graph-backed memory for AI agents.
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Long-term memory for AI agents.
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## Overview
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Engram MCP enables AI agents to store and retrieve long-term memories across sessions using a bitemporal knowledge graph. It supports cloud-managed and self-hosted deployments with hybrid semantic/keyword search.
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Engram gives AI agents persistent memory across sessions. Store decisions, preferences, insights, and context that your AI assistant can recall in future conversations.
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## Installation
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## Modes
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**Cloud mode** (default): Managed API with OAuth authentication. Core tools available (`remember`, `recall`).
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**Cloud** (default): Managed service with OAuth authentication.
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**Local mode**: Self-hosted with full features including resources, prompts, and graph queries. Set `ENGRAM_API_URL=http://localhost:6174` and run infrastructure from the [monorepo](https://github.com/rawcontext/engram).
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**Self-hosted**: Full features including resources, prompts, and graph queries. See [Self-Hosting](#self-hosting).
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## Tools
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|`extract_facts`| Parse unstructured text into atomic facts |
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|`enrich_memory`| Auto-generate summary, keywords, and category for memories |
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### Local Mode Tools
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### Self-Hosted Tools
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| Tool | Description |
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|------|-------------|
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|`query`|Execute read-only Cypher queries against the knowledge graph |
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|`query`|Run custom queries against your memory graph |
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|`context`| Assemble comprehensive context (memories + file history + decisions) for tasks |
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## Resources (Local Mode)
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## Resources (Self-Hosted)
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| URI | Description |
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|-----|-------------|
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