mcp-local-memory logo
mcp-local-memory
★ 60
vs
agents-remember logo
agents-remember
★ 29

mcp-local-memory vs agents-remember

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.; agents-remember: Agents Remember provides coding agents with durable, git-verified repository memory, ensuring project-specific rules are surfaced precisely when edits are made. It turns local invariants, naming rules, and other project facts into versioned Markdown files alongside the code, improving agents' ability to make safe and compliant changes.

01

TL;DR

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

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

agents-remember logo
agents-rememberMemory & Context · ★ 29

Ensuring coding agents adhere to project-specific rules and invariants when making changes deep within a codebase.

02

Side-by-Side Comparison

Field
mcp-local-memory logomcp-local-memory
agents-remember logoagents-remember
Category
Memory & Context
Memory & Context
Stars
★ 60
★ 29
License
MIT
MIT
Install Command
npm install -g @beledarian/mcp-local-memory@2
uvx agents-remember-mcp@latest --config /absolute/path/to/agents-remember-settings.json
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Memory Management, Knowledge Graph
AI Agents, Coding Assistant, Git Integration
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
agents-remember logoagents-remember
01Path-addressed memory: Notes live at deterministic mirror paths, providing agents with relevant context without search or guesswork.
02Git-proven freshness: Memory (notes, overviews, catalogs) is drift-checked against source commits and scopes to ensure accuracy.
03Memory that lands with code: External memory repos use ledgers and dual worktrees to synchronize code and memory updates after approval.
04Repo-owned agent behavior: Each memory repo carries system files for path rules, tools, coding guidelines, and documentation sources.
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.
agents-remember logoagents-remember
↳Ensuring coding agents adhere to project-specific rules and invariants when making changes deep within a codebase.
↳Providing agents with critical context like naming rules, migration scars, or 'looks safe but is not' facts at the point of edit.
↳Maintaining synchronized documentation and code, with memory updates landing only after approved code changes.
↳Bootstrapping new projects or onboarding agents with predefined path rules, tools, and coding guidelines.
FAQ

FAQ

What is the difference between mcp-local-memory and agents-remember?
Both mcp-local-memory and agents-remember are in the Memory & Context category. mcp-local-memory has 60 stars, while agents-remember has 29 stars.
Which is better, mcp-local-memory or agents-remember?
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 agents-remember if Ensuring coding agents adhere to project-specific rules and invariants when making changes deep within a codebase..
Is mcp-local-memory free or open source?
Yes, mcp-local-memory is open source on GitHub (MIT).
Is agents-remember free or open source?
Yes, agents-remember is open source on GitHub (MIT).
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