Kanwas vs. claude-mem Comparison


Kanwas	claude-mem cmem.ai	+	+
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About Kanwas is your team’s context brain: one place for teams and agents to create, edit, share, and compound product context. Instead of juggling Claude chats, local folders, Obsidian, VS Code, Git, and docs, Kanwas gives product teams a shared workspace where context stays alive. It is not just answers, not just outputs, and not starting from scratch; it is a place to think, collaborate, and get sharp deliverables. Kanwas builds shared context by learning about you, your business, and your decisions, making evidence, ideas, and trade-offs transparent to everyone. Canvas plus shared context creates alignment, letting teams and agents work over the same context while generating structured, execution-ready deliverables for every stage of implementation. Every decision and outcome makes the next thinking process and deliverable better than the last, turning stored knowledge into a living board that teams can think in. Kanwas includes a canvas for real work, bringing code, docs, tasks, etc.	About claude-mem is an offline-first cloud memory for AI agents, built around an open source engine and a cloud sync layer that links agent memory everywhere through one private MCP link. It is designed so coding agents and AI assistants do not start from zero every session, every machine, or every editor. claude-mem takes notes while an agent works, capturing decisions, fixes, dead ends, environment notes, architecture choices, and other structured observations in a temporal database. CMEM Cloud then mirrors that local memory behind a private Model Context Protocol endpoint, allowing any compatible agent or IDE to read and write the same memory across tools such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. It works locally first, with or without a network, while keeping memory synchronized when cloud access is available.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Product teams that need a shared AI workspace where team knowledge, product decisions, and execution-ready deliverables compound over time	Audience Developers and AI coding-agent users who need shared, offline-first memory across editors, machines, and MCP-compatible agents so project context, decisions, and fixes persist between sessions
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Kanwas United Kingdom kanwas.ai/	Company Information cmem.ai United States cmem.ai/
Alternatives HQ Indigo AI	Alternatives CMEM Cloud cmem.ai
Y Build	PlatformPilot DynG AI
Visona	Graphify
Qoder	OpenMemory
Cisco AI Canvas Cisco View All	Membase View All
Categories Agentic AI AI Tools	Categories Agentic AI AI Memory Layers

Integrations Visual Studio Code CMEM Cloud ChatGPT Claude Claude Code Codex CLI Cursor Devin Desktop Gemini Gemini CLI Git JSON Model Context Protocol (MCP) Obsidian OpenCode Show More Integrations View All 6 Integrations	Integrations Visual Studio Code CMEM Cloud ChatGPT Claude Claude Code Codex CLI Cursor Devin Desktop Gemini Gemini CLI Git JSON Model Context Protocol (MCP) Obsidian OpenCode Show More Integrations View All 10 Integrations
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