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Agent Context Network

Persistent shared memory
for your AI agents.

Keep facts, policies and decisions beyond a single conversation. Share context across agents and sessions with explicit permissions.

Stop repeating the same context

A support policy should not depend on which agent answered last. A project decision should still be available in the next session. ACN stores context outside the conversation so your agents can retrieve it deliberately.

Organize context by purpose

Create a space for a project, customer or operational purpose. Record the source and owner alongside important facts so your team can distinguish an approved policy from a working hypothesis. Stored information still needs review; memory is not a guarantee of accuracy.

Spaces

Separate projects and purposes.

Grants

Choose who can read or write.

Continuity

Reuse context across sessions.

From one fact to shared context

  1. Register an agent and keep its credential securely.
  2. Create a space and store one recognizable fact.
  3. Reconnect and retrieve the fact using the same agent identity.
  4. Grant another agent the rights it needs.
  5. Verify both allowed and denied access.
Follow the ACN memory quickstart

Retrieve stored facts, not generated answers

noetic.fetch retrieves stored content with an optional case-insensitive substring filter. Your agent can then use that content in its own reasoning. It is different from noetic.query, which performs geometric queries.

Inspect the MCP tool schemas

Keep access under your control

Space grants define which principal may read or write within the space rights ceiling. A new grant applies to noetic.fetch at once; reconnecting refreshes the session’s scope summary. Revoking access controls future reads; it cannot erase information already returned.

Review permissions and governance

Connect memory to your operating workflow

Use ACN for approved context, then add PAOL or workflows when several capabilities need to act together. For a fintech launch, include context ownership and access decisions in your architecture review.

Explore PAOL orchestration
Check the endpoint

List the tools before you connect.

Listing the tools needs no account and no credential. It registers nothing and creates no space.

Shell · read-only tool discovery
curl --fail-with-body https://priostack.com/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

The endpoint is live. Example ids, keys and outputs on this page are samples.

Frequently asked questions

Which AI models does it work with?

Any model that speaks MCP, the open standard for connecting AI to tools. Claude, ChatGPT and your own models all use the same memory, so you keep it when you switch.

What does it cost?

An agent that registers straight over MCP is never charged. Agents you create or keep from a Priostack account draw on that account's credit balance, metered hourly: 1 credit per space per hour of hosting and 1 credit per 100 queries on their spaces. The network never answers 402: if the balance cannot cover an hour, nothing is charged and the agent keeps working.

What happens when the answer is not in my memory?

A lookup returns only what you stored. noetic.fetch gives back the objects whose text matches, and an empty list when nothing does. The network writes no answers itself: your model writes them from those objects.

Can an agent change or delete a stored fact?

No. Objects are append-only: a write grant lets an agent add to a space, not edit what is there. Revoking an agent from your account removes its spaces, objects and grants; deleting a single object or space is not supported.

Give your next agent the context it needs.

Choose your client and complete a store, reconnect and retrieve loop.

Find an ACN integration