AgentIndex icon
AgentIndex
engram-memory logo
engram-memory
★ 38
vs
perseus-vault logo
perseus-vault
★ 72

engram-memory vs perseus-vault

engram-memory: 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.; perseus-vault: Perseus Vault provides durable, encrypted, local-first memory for AI agents, operating as a single Rust binary with zero dependencies. It integrates seamlessly with popular AI agent frameworks like LangGraph, CrewAI, and AutoGen, offering advanced features like hybrid semantic search, bitemporal queries, and a robust memory lifecycle.

01

TL;DR

engram-memory logo
engram-memoryMemory & Context · ★ 38

Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.

Read engram-memory full review →
perseus-vault logo
perseus-vaultMemory & Context · ★ 72

Provide durable, persistent memory for AI agents across sessions.

Read perseus-vault full review →
02

Side-by-Side Comparison

Field
engram-memory logoengram-memory
perseus-vault logoperseus-vault
Category
Memory & Context
Memory & Context
Stars
★ 38
★ 72
License
NOASSERTION
MIT
Install Command
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
curl -sSf https://raw.githubusercontent.com/Perseus-Computing-LLC/perseus-vault/main/scripts/install.sh | sh
Updated
4mo ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Self-hosted, Vector Database
AI Agent Memory, Local-first, Persistent Storage
03

Features

engram-memory logoengram-memory
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.
perseus-vault logoperseus-vault
01Bundled semantic search with zero configuration and network dependencies.
02Biomimetic memory lifecycle with Ebbinghaus decay, layer promotion, and automatic archiving.
03AES-256-GCM transparent encryption for stored entity data.
04Recall-first context injection with relevance gating and per-model budget.
05Multiple transport options including stdio, SSE, and HTTP for MCP clients.
04

Use Cases

engram-memory logoengram-memory
↳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.
perseus-vault logoperseus-vault
↳Provide durable, persistent memory for AI agents across sessions.
↳Integrate as a memory backend for popular AI agent frameworks (e.g., LangGraph, CrewAI, AutoGen).
↳Export AI agent memories to Personal Knowledge Management (PKM) tools like Obsidian for human review and navigation.
↳Secure, air-gapped deployments requiring local-first operation and data privacy.
FAQ

FAQ

What is the difference between engram-memory and perseus-vault?
Both engram-memory and perseus-vault are in the Memory & Context category. engram-memory has 38 stars, while perseus-vault has 72 stars.
Which is better, engram-memory or perseus-vault?
The best choice depends on your use case. Choose engram-memory if Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions., and perseus-vault if Provide durable, persistent memory for AI agents across sessions..
Is engram-memory free or open source?
Yes, engram-memory is open source on GitHub (NOASSERTION).
Is perseus-vault free or open source?
Yes, perseus-vault is open source on GitHub (MIT).
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Related

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