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engram-memory
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engram-memory

Active·★ 38·NOASSERTION·Updated 2026-06-01

Engram Memory provides AI agents with persistent, self-hosted memory, eliminating session-end forgetfulness and API costs. It features a three-tiered recall engine for efficient storage, search, and retrieval of semantic embeddings on your own hardware.

#AI Agent Memory#Self-hosted#Vector Database#Semantic Search#Retrieval Augmented Generation (RAG)#Caching#Knowledge Graph
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Guides
#Multi-Agent System
$ Install
$ docker run -d --name engram-memory --restart unless-stopped -p 6333:6333 -p 11435:11435 -p 8585:8585 -v engram_data:/data engrammemory/engram-memory:latest
↗ Visit site★ GitHub
01

Features

01Three-tiered recall engine (Hot-Tier Cache, Multi-Head Hash Index, Hybrid Vector Search) for fast and efficient memory retrieval.
02Persistent memory management with semantic embedding (store, search, recall, forget, consolidate) for AI agents.
03Local-first operation with self-hosted components (Qdrant, FastEmbed, MCP server) for data privacy and zero API costs.
04Kuzu-backed entity graph for tracking entities, co-retrieval patterns, and spreading activation.
05Advanced memory capabilities including conflict detection, temporal queries, and an "answer from memory" function.
06Hive Memory for multi-device sharing, enabling shared memory pools across different agents and devices.
02

Compatibility

Docker
Container
Verified via docs
Python
SDK
Verified via docs
Node.js
SDK
Verified via docs
Claude Code
MCP Client
Verified via docs
Cursor
MCP Client
Verified via docs
VS Code
MCP Client
Verified via docs
03

Quick start

1
$ docker run -d --name engram-memory --restart unless-stopped -p 6333:6333 -p 11435:11435 -p 8585:8585 -v engram_data:/data engrammemory/engram-memory:latest
04

Use cases

↳Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.
↳Enabling multi-agent systems to share a common knowledge base and collaborate effectively through shared memory pools (Hive Memory).
↳Answering complex questions by synthesizing information from an agent's stored memories, both locally and optionally with cloud enhancement.
↳Auditing an agent's knowledge at specific points in time or over date ranges using temporal queries for incident analysis or historical context.
↳Storing and retrieving user preferences, facts, decisions, goals, and insights efficiently and semantically for personalized agent interactions.
05

Alternatives

⚡Top VS:
VScaura-memclaw★504→VSmemora★744→VSperseus-vault★72→

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
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See all alternatives →
EngramMemory /
engram-memory
↗

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

38
Last commit4mo ago
StatusActive
CategoryMemory & Context
Links
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