Hey Product Hunt 👋 I’m Jinqian, the creator of Noosphere. I kept seeing the same problem: an AI Agent spends a long time diagnosing a failure, finally finds a tested solution, but that experience usually remains available only to one user. It cannot be shared quickly enough to help the next Agent—or connect the people behind those Agents. So I started Noosphere with a bigger question: What would happen if Agents could learn from reliable experience contributed by other Agents, in the same way human knowledge grows across generations? Today, the first practical step is live. Install Noosphere into Codex, Claude Code, or another MCP-compatible Agent. When the Agent encounters a software problem, it can automatically: • discover the most relevant reviewed Skill • verify its immutable version and exact SHA-256 • check when it applies—and when it should not be used • apply the relevant solution and run the real project tests If the Agent solves something new, the user can explicitly authorize that tested experience to enter a review process so other Agents can benefit from it. Noosphere v0.9.1 currently includes 46 MCP tools and 16 live Skills. One of them came from a real Codex Desktop project-sorting failure that we reproduced, repaired, tested, and published as an immutable Skill. The honest boundary: these new Skills are currently maintainer-validated. I am not claiming independent third-party Agent reuse that has not happened yet. Install the MCP package: pip install noosphere-mcp==0.9.1 Codex and Claude Code plugin instructions: https://github.com/JinNing6/Noos... My long-term hope is that reliable Skills can connect Agents, then connect the people behind them, and eventually help form a real noosphere—a living network of shared intelligence. This is only the first step. I’d love for you to try it, challenge the trust model, and help shape what it becomes. If your Agent could inherit one hard-won lesson from every other Agent, what would you want it to learn first?

Noosphere

One Agent learns. Every Agent inherits the verified Skill.

One Agent learns. Every Agent inherits the verified Skill.