AgentIndex icon
AgentIndex
mori logo
mori
★ 32
vs
agents-remember logo
agents-remember
★ 29

mori vs agents-remember

mori: Mori is a shared memory layer for AI coding agents that allows multiple instances to learn from each other, ensuring coherence and preventing 'cold starts'. It distills session activity into durable knowledge, enabling agents to start informed and benefit from collective intelligence.; 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

mori logo
moriMemory & Context · ★ 32

Enabling AI coding agents across different machines or teams to share learned knowledge and maintain consistency.

Read mori full review →
agents-remember logo
agents-rememberMemory & Context · ★ 29

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

Read agents-remember full review →
02

Side-by-Side Comparison

Field
mori logomori
agents-remember logoagents-remember
Category
Memory & Context
Memory & Context
Stars
★ 32
★ 29
License
AGPL-3.0
MIT
Install Command
git clone https://github.com/fjwood69/mori.git && cd mori && cp deploy/homelab/.env.example deploy/homelab/.env && docker compose -f deploy/homelab/docker-compose.yml up -d
uvx agents-remember-mcp@latest --config /absolute/path/to/agents-remember-settings.json
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Shared Memory, Knowledge Base
AI Agents, Coding Assistant, Git Integration
03

Features

mori logomori
01Multi-Instance Coherence: Shared memory ensures all AI agent instances are informed by others' decisions.
02Dream Pipeline: Automatically distills session events into structured memories.
03Universal Ingestion: Feed various data types (PDFs, images, git history) into the memory store.
04Strategic Consultation: Provides LLM guidance grounded in project context and team standards.
05Inter-Agent Messaging: Enables agents to send tasks, questions, and decisions across the network.
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

mori logomori
↳Enabling AI coding agents across different machines or teams to share learned knowledge and maintain consistency.
↳Onboarding new AI agents or team members by rapidly bootstrapping the memory store with existing project documentation and history.
↳Obtaining context-aware strategic advice and reviews (e.g., architecture, security) from LLMs based on project specifics.
↳Orchestrating complex tasks by delegating work and sharing decisions among multiple AI agent instances.
↳Persistent knowledge base for AI development projects, preventing repetitive learning and ensuring continuity.
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 mori and agents-remember?
Both mori and agents-remember are in the Memory & Context category. mori has 32 stars, while agents-remember has 29 stars.
Which is better, mori or agents-remember?
The best choice depends on your use case. Choose mori if Enabling AI coding agents across different machines or teams to share learned knowledge and maintain consistency., and agents-remember if Ensuring coding agents adhere to project-specific rules and invariants when making changes deep within a codebase..
Is mori free or open source?
Yes, mori is open source on GitHub (AGPL-3.0).
Is agents-remember free or open source?
Yes, agents-remember is open source on GitHub (MIT).
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Alternatives to mori →Alternatives to agents-remember →mori details →agents-remember details →