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MCPs aren't enough, give Codex/Claude accurate memory of everything

MCPs aren't enough, give Codex/Claude accurate memory of everything

by midas·May 26, 2026·17 points·2 comments
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AI Analysis

●MidSlickBold Bet

Another AI memory platform when Mem, Rewind, and Superhuman already own this space.

Strengths
  • •MCP integration means it works with existing AI tools rather than requiring a new interface
  • •Team-shared brain concept with automatic activity capture across 30+ integrations is ambitious
Weaknesses
  • •Crowded category with funded competitors (Mem, Rewind, Superhuman AI) already solving this
  • •No setup required claim conflicts with automatic cross-platform activity capture complexity
Category
AI/ML
Target Audience

Teams and companies wanting AI assistants with full work context

Similar To

Mem · Rewind AI · Superhuman AI

Similar Projects

Developer Tools●Mid

CogmemAi – Persistent Memory for Claude Code via MCP

Runs extraction and search server-side so your local MCP is a tiny HTTP client — no local DBs, no giant RAM leaks, and an easy npx install and .mcp.json or global MCP registration. It exposes clear tools (save_memory, recall_memories, extract_memories, get_project_context) and adds project-scoped + global preferences — a pragmatic fix for Claude Code's tiny flat-file memory. The tradeoff is obvious: usefulness depends on the hosted API (privacy, uptime, cost), and the repo looks early-stage with minimal commits and docs beyond the quickstart.

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