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Make0 AI

Make0 AI

For developers: one shared memory for Claude, ChatGPT, Cursor, and any MCP-compatible AI agent.

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Recommended for

    • Solo / Indie
    • Pre-Seed
    • Seed
    • Series A

SSIE

Stage Fit Recommendations

Following data shows why Make0 AI is recommended for listed teams. The Fit Score represents the percentage fit of Make0 AI to each company stages, as calculated by the SSIE.

Stage

Fit Score

Fit Reasons

  • Solo / Indie

    $0–$2,000 MRR

    85
    • Shared memory graph follows every AI agent
    • Team agent canvas turns research into deliverables
    • TLS 1.3 encrypts data in transit
    • Free plan covers a solo founder at no cost
  • Pre-Seed

    $0–$10k MRR

    89
    • Works with GitHub and major AI clients
    • Teams review and approve shared work on canvas
    • Customers can request data deletion
    • Free plan covers about 2 users at no cost
  • Seed

    $10k–$100k MRR

    91
    • Connects to agents through an MCP server
    • Schedules approved social content for publishing
    • Free plan covers about 3 users at no cost
  • Series A

    $100k–$500k MRR

    88
    • Role-based access limits staff permissions
    • Regular penetration testing and vulnerability scans
    • MFA protects all administrative access
    • Free plan to start
Make0 AI

Description

Make0 AI provides a shared memory system, called Make0 Brain, that syncs context across AI agents. It connects via MCP to ChatGPT, Claude, Cursor, Gemini, and any MCP-compatible AI app. When one agent saves information to the brain, other agents read the same memories on their next interaction. Make0 Brain can be used as a hosted service at make0.ai/mcp or run open source on your own machine. The open source version is a local MCP memory server that runs from one SQLite file entirely offline, with the same seven tools as the cloud version. Every edit to the memory is versioned and preserved, showing changes by agent and timestamp. Works with Claude, ChatGPT, Cursor, Gemini CLI, Windsurf, VS Code, and any MCP-compatible application. The project reports state-of-the-art open source results on SWE-contextbench Lite.

Submitted By

Added On

Nov 10, 2026

Status

Unclaimed

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Free. No credit card.
Reviewed by a human. SSIE Fit Scoring.

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