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MemClaw – Persistent Memory for OpenClaw

MemClaw – Persistent Memory for OpenClaw

Persistent memory for AI coding agents — isolated workspaces, shared context.

Apr 20, 2026 AI & Machine Learning
ai coding agents persistent memory project scoped workspace

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MemClaw – Persistent Memory for OpenClaw

About

MemClaw gives AI coding agents (Claude Code, OpenClaw) persistent, project-scoped memory backed by Felo LiveDoc. Key features: • One project = one LiveDoc — isolated workspace per project • README as agent memory — background, preferences, and progress auto-maintained • Full resource management — save documents, URLs, and file uploads • Built-in task tracking — automatic task creation and completion sync • Semantic retrieval — query your knowledge base from the terminal • Integrates with Felo's AI APIs — PPT generation, web search, X search, and more No more re-explaining context every session. MemClaw remembers so you don't have to.

Comments (3)

Leland Upton Leland Upton 1 month ago

project scoped workspaces are smart, shared agent context gets messy fast

Lewis Pollich Lewis Pollich 1 month ago

pricing? hows this diff from mem0

Will Tillman Will Tillman 1 month ago

project-scoped memory makes so much sense for coding agents