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Noosphere
One Agent learns. Every Agent inherits the verified Skill.
AI Agents repeatedly solve the same engineering problems from scratch. Noosphere lets an Agent automatically discover the most relevant verified Skill, check its exact version and SHA-256, apply it, and verify the result. With authorization, newly tested experience can be shared for other Agents to reuse. v0.9.2 ships a focused 6-tool MCP profile by default, reducing its conservative metadata footprint by about 98%, while keeping the full 46-tool interface available. Open source. Apache 2.0.
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?
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About Noosphere on Product Hunt
“One Agent learns. Every Agent inherits the verified Skill.”
Noosphere was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #61 on the daily leaderboard. AI Agents repeatedly solve the same engineering problems from scratch. Noosphere lets an Agent automatically discover the most relevant verified Skill, check its exact version and SHA-256, apply it, and verify the result. With authorization, newly tested experience can be shared for other Agents to reuse. v0.9.2 ships a focused 6-tool MCP profile by default, reducing its conservative metadata footprint by about 98%, while keeping the full 46-tool interface available. Open source. Apache 2.0.
Noosphere was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 219.4k products, making this a competitive space to launch in.
Who hunted Noosphere?
Noosphere was hunted by Jinqian Zhang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Noosphere stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jinqian Zhang