AgentIndex icon
AgentIndex
ctxd logo
ctxd
★ 59
vs
mori logo
mori
★ 32

ctxd vs mori

ctxd: ctxd provides a Python SDK and CLI for its cloud context infrastructure, designed for AI agents. It connects to, parses, indexes, and syncs content from various cloud applications like Google Drive, Slack, and GitHub, allowing permission-aware searching through a unified index.; 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.

01

TL;DR

ctxd logo
ctxdMemory & Context · ★ 59

Providing context infrastructure for AI agents.

Read ctxd full review →
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 →
02

Side-by-Side Comparison

Field
ctxd logoctxd
mori logomori
Category
Memory & Context
Memory & Context
Stars
★ 59
★ 32
License
MIT
AGPL-3.0
Install Command
pip install ctxd
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
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Python SDK, CLI, AI Agents
AI Agents, Shared Memory, Knowledge Base
03

Features

ctxd logoctxd
01Connects to cloud files and data across multiple applications (e.g., Google Drive, Slack, GitHub).
02Parses, indexes, and syncs content for unified search.
03Provides a permission-aware search index.
04Offers both synchronous and asynchronous Python clients.
05Supports flexible authentication methods including API keys and interactive login.
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.
04

Use Cases

ctxd logoctxd
↳Providing context infrastructure for AI agents.
↳Searching documents and data across various connected cloud applications.
↳Automating data retrieval and context fetching in scripts and headless environments.
↳Integrating cloud-based information into custom applications using Python SDK.
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.
FAQ

FAQ

What is the difference between ctxd and mori?
Both ctxd and mori are in the Memory & Context category. ctxd has 59 stars, while mori has 32 stars.
Which is better, ctxd or mori?
The best choice depends on your use case. Choose ctxd if Providing context infrastructure for AI agents., and mori if Enabling AI coding agents across different machines or teams to share learned knowledge and maintain consistency..
Is ctxd free or open source?
Yes, ctxd is open source on GitHub (MIT).
Is mori free or open source?
Yes, mori is open source on GitHub (AGPL-3.0).
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Related

Alternatives to ctxd →Alternatives to mori →ctxd details →mori details →