Memex: Open-Source Memory Plugin for Claude Cowork

Memex is an open-source memory plugin for Claude Cowork that addresses the friction of starting each session from scratch. It provides persistent memory across sessions using a tiered context loading system.
How It Works
Memex scans your workspace and builds a manifest with one-line summaries for every file. It organizes files into tiers based on how often they're needed and converts file references to [[wikilinks]]. Skills update the system as you work across sessions.
Key Features
- Run
/memex:initonce to initialize the system - Claude briefs itself in about 20 seconds per session after initialization
- Pure markdown format
- Entire workspace is browsable in Obsidian as a knowledge graph
- MIT licensed open-source project
Setup and Usage
After the initial /memex:init command, every subsequent session begins with Claude automatically briefing itself on the project context. The system maintains memory of previous decisions, file references, and project state without requiring manual re-explanation.
The tool is available on GitHub at github.com/Skyfox-io/Memex and is designed for developers who use Claude Cowork regularly and want to eliminate the repetitive context-setting at the start of each session.
📖 Read the full source: r/ClaudeAI
👀 See Also

PhAIL Benchmark Tests VLA Models on Real Warehouse Robot Tasks
PhAIL is a real-robot benchmark that tests four vision-language-action models on bin-to-bin order picking using a Franka FR3 robot. The best model achieved 64 units per hour, compared to 330 UPH for human teleoperation and 1,300+ UPH for human manual work.

Tether: An MCP Server for Sharing Context Between AI Models via SQLite
Tether is an open-source tool that collapses JSON data into 28-byte content-addressed handles, allowing multiple AI models to share context through a shared SQLite database. It functions as an MCP server, enabling direct communication between models like Claude and MiniMax without copy-pasting.

Reddit user experiments with failure-learning coding agents to break retry loops
A developer on r/LocalLLaMA describes experimenting with coding agents that learn from failures by storing simplified root causes and matching fixes, reducing repetitive error loops.

Zot Chrome Operator: Let Your Terminal AI Agent Drive the Browser via Side Panel
A Chrome extension + local bridge that lets zot, a terminal-based coding AI, control browser tabs through a `browser_action` tool. Install in two commands, no zot changes required.