Second Brain for AI

Persistent memory for Claude, ChatGPT & Cursor. Free.

4.0•2 reviews•

1.1K followers

Persistent memory for Claude, ChatGPT & Cursor. Free.

4.0•2 reviews•

1.1K followers

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LLM Memory

Every AI conversation starts from zero. Your projects, decisions, and preferences disappear as soon as you close the chat. Second Brain fixes that. It is a self-hosted memory layer that works with Claude, ChatGPT, Cursor, and any MCP client. You can store context once and recall it by meaning instead of keywords. It includes duplicate detection, semantic search, and a web UI. Built on Cloudflare, it offers a free tier and your data remains yours. MIT licensed.

Second Brain for AI Reviews

Name: Second Brain for AI
Rating: 4.0 (2 reviews)

The community submitted 2 reviews to tell us what they like about Second Brain for AI, what Second Brain for AI can do better, and more.

4.0

Based on 2 reviews

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•30 reviews

What's great

The decentralized architectural design introduces a unified Model Context Protocol (MCP) continuity layer that bridges fragmented AI clients like Claude, ChatGPT, and Cursor. By decoupling contextual memory from individual application vendor boundaries and hosting it directly inside the developer's personal Cloudflare account, the platform establishes an open-source, serverless state machine. It handles multi-hop recall, graph-based relationship synthesis, and hard duplicate detection down to the vector layer—leveraging Cloudflare Workers, D1 SQLite, and Vectorize to run semantic operations with 100% data ownership.

What needs improvement

The dependency on Cloudflare’s native serverless infrastructure bounds the application's heavy vector processing pipeline to the constraints of the host’s Worker runtime and Vectorize limits. Under highly concurrent multi-agent development loads, running real-time conflict reconciliation, contradiction checks, and multi-hop node mapping can cause execution latencies that hover close to the hard CPU timing limits of basic serverless free tiers. Furthermore, because it abstracts authentication behind localized OAuth/AUTH_TOKEN pairs, teams lack enterprise-grade granular auditing logs or role-based access controls (RBAC) to segment memory partitions across corporate networks.

vs Alternatives

I’ve tested application-isolated memory tools native to single LLM frontends, centralized proprietary vector knowledge bases, and local-first browser memory bridges like Glia. While localized bridges offer solid individual IDE context, they fail to sync memory boundaries natively across disconnected cloud chat interfaces, resulting in fragmented context pools and constant manual prompt re-priming. I opted for Second Brain for AI (Cloudflare) because it acts as an unrestrictive, self-hosted infrastructure layer that unifies cross-client state persistence without platform lock-in.

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47 views3d ago

•24 reviews

What's great

The graph-linking is what sets this apart from a plain vector-search memory tool - it doesn't just retrieve the closest match, it follows connections between decisions, people, and projects so you get context you forgot to ask for. Being self-hosted on your own Cloudflare account instead of a third-party server is also a real feature, not just a compliance checkbox, since it means a startup shutting down can't take your memory graph with it.

What needs improvement

Discovery of what the graph auto-linked is still mostly reactive - you find out a memory got connected to something when it surfaces in a later answer, rather than being able to browse the graph itself. A visual view of a memory's connections, even a simple list of "linked to X because Y", would help build trust in the auto-linking faster than seeing it work correctly by accident over time.

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9 views3d ago