One shared memory for every AI agent. Yours.
Your AI agents forget everything between sessions, and every new tool starts from zero. The Agent Context Network gives them one place to remember, and it works with any AI model. You own it, you decide who can use it, and agents only pull the piece they need.
Works with Claude, ChatGPT, and your own models. You own the data, we never train on it, and you can export or delete it any time.
Every session starts from zero.
AI agents do not remember. Close the chat and it is gone, so you paste the same background in again and again. The usual fix bolts on a system that pours more and more text into the model as your data grows, which makes every answer slower and more expensive. Either way, your knowledge ends up trapped inside one assistant, one vendor, one session.
A memory you actually control.
Store once, use anywhere
Save what your agents learn one time. Use it again from Claude, ChatGPT, your own models, or whatever you switch to next. Your memory does not belong to any one AI company.
You own it, you set the rules
Decide who can read it, who can add to it, and what they are allowed to do with it. Share a slice with a partner, keep the rest private, and revoke access any time.
Agents pull only what they need
Instead of dumping your whole knowledge base into the model, an agent asks for the relevant piece and gets a short, focused answer. Fast and affordable, even as your memory grows into the millions of items.
It will not make things up
Answers come from what is actually saved. When something is not in your memory, it says so, instead of guessing.
Every access is on the record
See which agent read what, when, and under which permission. Nothing happens to your data quietly.
Turn it into a product soon
Later, publish part of your memory and let other people's agents pay to use it. Your knowledge becomes an asset instead of a cost.
Built for teams running real agents.
If more than one agent, or more than one person, needs to work from the same knowledge, this is for you. A few of the ways teams put it to work:
Support and operations
Every agent answers from the same policies, past tickets, and product facts. Update it once and they all stay current, instead of drifting apart.
Research and analysis
Give analyst agents a shared, permissioned library. They draw only from what you approved, and you can see exactly what was read for each answer.
Multi-agent products
Many agents, one memory. What one agent learns is there for the next, with no long transcripts passed back and forth between them.
Knowledge owners
Sitting on valuable know-how? Keep it private, share a slice with a partner under clear terms, and later let other people's agents pay to use it.
Connect. Remember. Stay in control.
Connect any agent
Your agents connect over MCP, the open standard for plugging AI into tools. No lock-in, no custom glue.
Store what matters
Documents, facts, decisions, past conversations. Anything worth remembering goes into your own space.
Agents ask, and get a focused answer
They request what is relevant to the task and receive a short, permission-checked reply, not a data dump.
You stay in control
Set permissions, watch usage, and change your mind whenever you want. Export or delete on your terms.
A question in. A grounded answer out.
Put a few facts into a space. When an agent asks, it gets a short answer drawn straight from them, with the source noted. Ask about something you never stored, and it tells you so instead of inventing an answer.
Fast and affordable, no matter how big it gets.
A typical setup sends the AI more and more as your data grows, so your bills climb with your knowledge. We send a small, relevant slice instead, so speed and cost stay flat whether you store a thousand items or a million.
More data means more for the model to read, every single time.
steady slice
Whether your memory holds a thousand items or a million, each answer stays about the same size. Your costs do not balloon with your knowledge.
It only tells you what it actually knows.
The Agent Context Network answers from your saved memory and nothing else. If the answer is not there, it says so, instead of inventing one. You can trust what comes back, because it came from what you put in.
And it is yours. We do not read your context to train anything, we cannot sell it, and no one you did not authorize can touch it. Export or delete it whenever you want.
The things people ask first.
Which AI models does it work with?+
Do you train on my data?+
What happens when the answer is not in my memory?+
What does it cost?+
Can I share part of my memory with a partner?+
Do I need to understand how it is stored?+
Is it available now?+
Free, with limits.
There are no plans and nothing to pay. Every agent that registers gets its own account, its own spaces, and permissions it controls, with the same allowances as everyone else. Reach a limit and the call returns 402 until the month refreshes; nothing is charged.
For any agent, on any model, from the first call.
- Up to five context spaces
- Up to 500,000 stored objects
- 500,000 queries a month
- Grants, revocation, receipts and metrics included
Everything you need to build on it.
Connect over MCP and drive it with plain HTTP calls. Read the deep dive for the why, follow the tutorial for the how, and manage every space, grant and receipt from the console.
The memory layer, explained
What an Agent Context Network is, how grounded answers work, and why speed and cost stay flat as it grows.
Read the article →Build your first space
Connect, create a space, store context, grant an agent, run a query, and read the receipt. Copy and paste, top to bottom.
Start the tutorial →Read the client SDK
The Python client, a worked example per call, and clients for other languages. Install it with pip install priostack, or read the source first.
curl -s https://priostack.com/mcp -d '{
"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"noetic.register","arguments":{"displayName":"my-first-agent"}}
}'Returns an agentId and a bearer token, once. That token is your context space, and it is the only call that needs no credentials.
Bring your agents. Keep your memory.
The Agent Context Network is live and open. Your agent registers itself a key in one call, then starts remembering. No dashboard, no waiting.
Any model · You own the data · Free, with limits
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