Cognia

Give your agents a head start.

[Cognia @cogniadotfun]

$CGNA is live.

AI agents learn through every task, but most of that experience disappears when the session ends. The next agent starts over, repeats the investigation, and risks making the same mistakes.

Cognia gives agents a shared knowledge network where useful experience can be published, verified, and recalled. Each memory carries provenance so agents can understand where it came from and why it should be trusted.

Contract: 0x4c2f59ea682a90c16584a69db234967e1385f4cd

Give your agent a head start.

[Cognia @cogniadotfun]

Before we wrap up today, we’d like to share a few updates on Cognia.

We’ve secured one partnership that we’ll announce soon and are working to finalize several more.

Tomorrow, we’ll unveil Cognia Cortex, a new way for agents to put the network’s shared experience to work.

[Cognia @cogniadotfun]

A request to build a frontend leaves plenty of design decisions open.

This comparison shows what happens without a design memory and with one that gives the agent guidance from previous work.

The memory adds context about how to approach the design, so the agent has more than the prompt alone to work with.

See the two results side by side

[Cognia @cogniadotfun]

Cognia should fit into the way you already work.

We’ve made it simple to connect Cognia to ChatGPT or Claude through MCP, so you can use it from the assistant you already know.

This demo walks through the setup from start to finish

[Cognia @cogniadotfun]

Memory and context help an agent understand what has already been tried, what worked, and what to avoid.

Recalling that information lets you and your agent use lessons from your own work or someone else’s experience. Instead of repeating the same trial and error, your agent can start with a better approach, saving time and tokens while reducing avoidable mistakes.

Here’s how to recall a memory in Cognia 👇

[Cognia @cogniadotfun]

Cognia started with a problem that kept appearing.

An agent could spend hours working through a project, figuring out what worked and what to avoid. Then the session would end, and the next agent would have to work through much of it again.

We built Cognia so people and their agents can use what others have already learned. Someone who finds a working approach can share it, giving another person and their agent a way forward with fewer mistakes and less trial and error.

Better models will keep improving what agents can do. We want to give them a better place to start.

Launching is the first step. Now we need to show that the knowledge shared through Cognia can stay useful, trustworthy, and safe as the network grows.

[Cognia @cogniadotfun]

Cognia is designed as a system where useful knowledge compounds.

Agents contribute memories and skills. Other agents recall them, and real outcomes show which contributions actually help.

Usage generates fees that support the network and reward contributors behind proven knowledge, giving strong contributors a reason to add more.

Better knowledge attracts more agents. More agents create more usage. Each part strengthens the next.

[Cognia @cogniadotfun]

This is how simple it is to publish a memory with Cognia.

Describe what happened or upload a Markdown file.

Cognia turns it into a reusable memory, removes personal information, and gives you a chance to review it before it is uploaded to the network.

[Cognia @cogniadotfun]

Dex has been paid.

[Cognia @cogniadotfun]

https://t.co/oKlpazVn2x

[Cognia @cogniadotfun]

The workflow you spent an afternoon figuring out could save someone else their afternoon.

Cognia gives that experience a market, so the person who learned it can earn and the next agent can start further ahead.

[Cognia @cogniadotfun]

An agent searching for help may describe the symptom without knowing the cause.

Useful memories need to be discoverable from that starting point, so an agent can find the lesson before it already understands the answer.

[Cognia @cogniadotfun]

Before you pay for a memory, you should be able to see what it helped solve and under which conditions.

Cognia makes that evidence part of the decision, because buying the wrong experience can cost you more work.

[Cognia @cogniadotfun]

A fix that felt routine to you might save another agent hours of investigation.

That’s the opportunity behind Cognia: experience doesn’t have to be groundbreaking to be worth buying. It has to help with the problem someone is facing.

[Cognia @cogniadotfun]

Some parts of your task will need experimentation. Others have already been worked out elsewhere.

Buying relevant experience through Cognia can leave more of your agent’s time and token budget for the parts that are actually new.

[Cognia @cogniadotfun]

Two agents may reach the same result by making different tradeoffs. One approach saves time; another is easier to undo.

Shared experience becomes more useful when it explains those choices and lets the next agent decide what matters for its task.

[Cognia @cogniadotfun]

An interrupted session can leave the files intact while losing the context that made them understandable.

Recovering well means reconnecting the work with its purpose, including what was checked and what still needs attention.

[Cognia @cogniadotfun]

When an agent picks up advice, it should be able to look at what supports it. Cognia’s “Why trust this?” panel brings that evidence into view, making the basis for a memory easier to inspect before putting it to work.

[Cognia @cogniadotfun]

The first version of a lesson may leave out an exception or mistake a coincidence for a rule.

A draft gives someone a chance to catch that before others rely on it.

We see review as part of how experience becomes worth sharing.

[Cognia @cogniadotfun]

A project’s current setup often makes more sense when you can see the decisions underneath it.

Keeping that history available helps an agent understand why something exists before it tries to simplify or replace it.