Engram Rs

Created By

kael-bit5 months ago

Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.

# memory

# ai-agent

Overview Content Tools Comments

Overview

Engram gives AI agents persistent, human-like memory. Memories flow through three cognitive layers — buffer (short-term), working (active knowledge), and core (long-term) — with automatic decay, promotion, and consolidation.

Features:

Semantic search via HNSW vector index
Automatic deduplication and merging
Namespace isolation for multi-agent setups
Session context extraction from LLM conversations
MCP protocol support (stdio transport)
Local-first, single-binary Rust server + SQLite

Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.

Try in Playground

Server Config

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": [
        "-y",
        "engram-rs-mcp"
      ],
      "env": {
        "ENGRAM_URL": "http://localhost:3917",
        "ENGRAM_API_KEY": "",
        "ENGRAM_NAMESPACE": ""
      }
    }
  }
}

Project Info

Created At

5 months ago

Updated At

5 months ago

Author Name

kael-bit

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