AgentIndex icon
AgentIndex
mcp-local-memory logo
mcp-local-memory
★ 60
vs
hippo-memory logo
hippo-memory
★ 784

mcp-local-memory vs hippo-memory

mcp-local-memory: mcp-local-memory is a local-first MCP server designed to provide AI agents with shared, durable memory without relying on Docker or cloud services. It achieves this through a powerful combination of hybrid semantic search, SQLite FTS5, and a structured knowledge graph, supporting features like temporal recall and adaptive ranking.; hippo-memory: Hippo is an AI agent memory layer inspired by the human hippocampus, designed to manage agent memory with features like default decay, strengthening through use, and full provenance. It integrates with various AI agents and tools, using SQLite for storage and offering a CLI for memory management, ensuring relevant context is always available without overwhelming the agent.

01

TL;DR

mcp-local-memory logo
mcp-local-memoryMemory & Context · ★ 60

Provide persistent and shared memory for AI agents in local environments.

Read mcp-local-memory full review →
hippo-memory logo
hippo-memoryMemory & Context · ★ 784

Ensuring AI agents learn from past mistakes and avoid repetition.

Read hippo-memory full review →
02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
hippo-memory logohippo-memory
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 784
License
MIT
MIT
Install Command
npm install -g @beledarian/mcp-local-memory@2
npm install -g hippo-memory && hippo init --scan ~
Updated
1mo ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Memory Management, Knowledge Graph
AI Agents, Memory Management, Context Window
03

Features

mcp-local-memory logomcp-local-memory
01Shared memory across multiple AI agents
02Hybrid semantic and keyword recall
03Structured knowledge graph for context management
04Temporal memory recall with natural language dates
05Adaptive memory ranking based on multiple factors
hippo-memory logohippo-memory
01Default memory decay with configurable half-life.
02Memories are strengthened through retrieval and use.
03Errors and important decisions are given longer persistence.
04Memory consolidation process ('sleep') merges and prunes memories.
05Context injection with token budgeting and flexible framing.
04

Use Cases

mcp-local-memory logomcp-local-memory
↳Provide persistent and shared memory for AI agents in local environments.
↳Build knowledge bases and manage context for complex AI applications.
↳Facilitate local-first AI agent development and testing without external dependencies.
↳Serve as a centralized memory server for distributed AI agent systems via HTTP/SSE.
hippo-memory logohippo-memory
↳Ensuring AI agents learn from past mistakes and avoid repetition.
↳Maintaining consistent memory across different AI agents and development tools.
↳Centralizing and making queryable memories from external systems like Slack and chat exports.
↳Providing short-term memory and task snapshots for continuous workflow.
↳Automating memory creation from git commit history and command failures.
05

Best For

mcp-local-memory logomcp-local-memory
—
hippo-memory logohippo-memory
TrendingHidden Gem
FAQ

FAQ

What is the difference between mcp-local-memory and hippo-memory?
Both mcp-local-memory and hippo-memory are in the Memory & Context category. mcp-local-memory has 60 stars, while hippo-memory has 784 stars.
Which is better, mcp-local-memory or hippo-memory?
The best choice depends on your use case. Choose mcp-local-memory if Provide persistent and shared memory for AI agents in local environments., and hippo-memory if Ensuring AI agents learn from past mistakes and avoid repetition..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is hippo-memory free or open source?
Yes, hippo-memory is open source on GitHub (MIT).
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Related

Alternatives to mcp-local-memory →Alternatives to hippo-memory →mcp-local-memory details →hippo-memory details →