Engram
Persistent AI memory backend with semantic search and knowledge graph.
Stores episodic, semantic, and procedural memories in SQLite and retrieves the most relevant ones using vector similarity and graph traversal.
All embeddings run locally, with no API keys required.
Overview
What is Engram?
Engram is a universal AI memory backend that gives any AI model a persistent, growing brain.
It stores memories in a local SQLite database with full-text search, vector semantic search, and a knowledge graph that connects related concepts.
Memory Types
- Episodic — past events, conversations, decisions
- Semantic — facts, knowledge, and beliefs about the world
- Procedural — how-to instructions, workflows, and code patterns
Key Features
- Semantic search — find memories by meaning, not just keywords
- Knowledge graph — 7-step graph traversal connects related memories
- Contradiction detection — automatically flags conflicting beliefs
- Local-first — all embeddings run on-device, no API keys needed, no data leaves your machine
- Universal — works with Claude, OpenAI, Ollama, and any MCP-compatible client
Install
npx -y @engram-ai-memory/mcp@latest
Claude Desktop Config
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"@engram-ai-memory/mcp@latest"
]
}
}
}
18 MCP Tools
store_memory, search_memory, recall_context, add_knowledge, check_contradictions, resolve_contradiction, forget, tag_memory, list_tags, decay_sweep, decay_policy, re_embed, embedding_status, index_status, memory_stats, plugin_list, webhook_subscribe, webhook_list
Links
- Homepage:
https://engram.am - GitHub:
https://github.com/ayvazyan10/engram - npm:
https://www.npmjs.com/package/@engram-ai-memory/mcp
Server Config
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"@engram-ai-memory/mcp@latest"
]
}
}
}Project Info
Created At
2 months agoUpdated At
2 months agoAuthor Name
ayvazyan10Star
-Language
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