Socialmemory

Socialmemory blog

Guides and product notes for turning saved X likes and bookmarks into a private memory your agents can use from Codex, Claude Code, and the web library.

Start here

The shortest path through the current SEO cluster: X bookmark search, agent workflows, and the MCP connector for saved X memory.

Topic hubs

Browse by problem

Each cluster links related articles together so X search, Agent Access, second-brain workflows, and comparisons reinforce one another.

X bookmark search

Find old X bookmarks, understand why saved posts disappear in the timeline, and turn the posts you already liked or bookmarked into a searchable archive.

Agent Access and MCP

Use saved X posts as context for Codex, Claude Code, and the local socialmemory connector that lets agents search your private memory.

Second brain and knowledge reuse

Convert passive X scrolling into reusable notes, project research, weekly digests, and a working second brain for saved ideas.

Social memory vision

Explore the bigger personal-memory layer behind socialmemory while keeping the product focused today on saved X likes and bookmarks.

Comparisons and alternatives

Compare socialmemory against adjacent tools and decide when X-focused agent memory is a better fit than a bookmark organizer.

All articles

Every socialmemory guide

X bookmark search

How to Search X Bookmarks When X Search Is Not Enough

A practical guide to finding old X bookmarks, what to try inside X first, and how a private searchable library helps when saved posts disappear into the scroll.

Comparison

Dewey Alternative: socialmemory vs Dewey for X Bookmark Search and Agent Access

Dewey is strong for organizing and exporting social bookmarks. Socialmemory is built for saved X memory, private search, and optional Agent Access for Codex and Claude Code.

MCP for saved X posts

X Bookmarks MCP: Connect Saved Posts to Codex and Claude Code

MCP gives AI tools a standard way to reach external context. For saved X posts, that means bookmarks and likes can become searchable memory for agents instead of staying trapped in the scroll.

AI second brain

How to Turn X Bookmarks and Likes Into an AI Second Brain

Your X bookmarks and likes already contain ideas, examples, tools, and taste. The missing step is turning them into a private memory layer you can search, organize, and use with AI.

Agent workflow

How to Use Saved X Posts With Codex and Claude Code

Turn saved X likes and bookmarks into working context for Codex and Claude Code, with practical prompts for project kickoff, debugging, design, research, writing, launch, and strategy.

Weekly review

How to Build a Weekly Digest From Your Saved X Posts

A practical weekly review workflow for turning saved X posts into themes, action items, reading lists, tools, and useful next steps.

Project research

How to Start Every New Project With Research From Your Saved X Posts

A practical project kickoff workflow for turning saved X likes and bookmarks into research briefs, examples, warnings, and promptable context for Codex or Claude Code.

Agent memory

Why AI Agents Need Personal Memory to Do Better Work

AI agents are more useful when they can retrieve durable personal context: saved examples, taste, project rules, prior research, and the X posts you already trusted enough to save.

Knowledge workflow

Turn X Bookmarks Into Knowledge: Make Your Feed Work for You

Scrolling on X can be useful discovery. The leverage comes from turning the posts you save into a private library you can search, organize, and use later.

Vision

What Is a Social Memory Layer?

A social memory layer makes the social signals you already create, like likes, bookmarks, saved posts, and notes, searchable and useful for you and your AI agents.

Vision

What AI Personal CRM Teaches Us About Social Memory

Personal CRM remembers people. An AI-era memory layer should also remember the posts, recommendations, notes, and context around those relationships.