Private Beta — applications open

Your agent remembers. But does it know what's still true?

AgentBrain is the cognitive integrity layer for production AI agents — governed memory, validity checks, provenance and action receipts across models, tools and sessions. We're opening access for a limited group of teams with real memory pain.

10 teams·90 days·real workflows·manual review
01

Where production agents break

Your agent can reason, call tools, execute workflows. But once it runs across days, users, tools and sessions, a deeper problem appears:

This is not a better-prompt problem. Not only a model problem. It's a continuity, validity and governance problem.

The next bottleneck for AI agents is not reasoning. It is knowing:

  1. 01what still matters,
  2. 02what is still true,
  3. 03what was corrected,
  4. 04what can be trusted,
  5. 05what requires human approval,
  6. 06and why an action happened.

AgentBrain exists for this layer: a governed brain between your agent, its memory, its tools and its actions.

02

What AgentBrain gives your agent

governed memory

One brain. Every session.

Your agent gets one persistent brain across sessions, models and tools. Claude, GPT, Gemini, MCP or your own stack can change — the governed memory stays intact.

validity before recall

Remembered ≠ true.

Memory is not treated as truth by default. AgentBrain distinguishes current facts from stale assumptions, corrected beliefs, expired context and weak evidence. Your agent shouldn't only remember — it should know whether a memory is still usable.

provenance behind beliefs

Every belief has a trail.

Where did this belief come from? When was it stored? Was it corrected? Is it still valid? Which source supports it? AgentBrain makes agent memory inspectable instead of invisible.

action receipts

The reason doesn't disappear.

When an agent acts, stops or escalates, AgentBrain records what it believed, which memory shaped the decision, what validity state applied and why the action was allowed or blocked. Black-box output becomes something teams can review, debug and govern.

Sounds like your problem? 10 teams, 90 days, real workflows — break our memory layer.

Apply now
03

Who fits

This beta is not for casual AI experiments. We're looking for teams already building or running agents where memory actually matters.

Strong fit

  • You have an AI agent in development, internal use or production
  • Your agent uses memory, tools or long-running context
  • You've seen stale recall, context drift or repeated mistakes
  • You need provenance behind agent decisions
  • Your agent may act, escalate, approve or trigger workflows
  • You're willing to pressure-test infrastructure and give direct feedback
04

What we test together

During the 90 days we test whether AgentBrain improves your agent's real-world reliability. The goal is not a polished demo — the goal is to find where production agent memory breaks, and make it stronger.

05

What you get

You're not just testing software. You're helping define the cognitive integrity layer for production agents.

06

What we need from you

This is a serious beta. Every beta team brings:

  1. 01A real agent or agent workflow.
  2. 02A clear memory problem.
  3. 03Examples of where context breaks.
  4. 04Weekly feedback during the 90 days.
  5. 05Break reports when something fails.
  6. 06Permission to use anonymized learnings.
  7. 07Optional public case study if both sides agree.

We're not looking for praise. We're looking for pressure.

07

What happens after 90 days

At the end of the beta, we review the evidence together: Did AgentBrain improve continuity? Did validity checks reduce memory risk? Did provenance make the agent more trustworthy? Did action receipts create useful auditability?

if yes

Founding Plan

Beta teams can continue on a paid Founding Plan — at terms that won't exist afterwards.

if no

We document what failed

Honestly and traceably — what didn't work and why. Both outcomes matter.

Beta access is limited by design. Not a public SaaS launch, not a free trial, not a waitlist for everyone — a private production beta for agents that can't afford to forget, drift or act on stale context.

Apply
08

Apply for Private Beta

Bring a real agent. Bring real memory pain. Try to break the brain. — Four questions, about three minutes. I read every application personally and respond within 48 hours.

What are you running today? Claude, LangChain, MCP, custom, etc.

What does your agent do? One to three sentences.

Where does context break — or what would you build if memory weren't the bottleneck?

48h reply · read personally · no auto-reject templates

Limited access. Manual review. Best fit: agent builders, AI teams, AI automation studios, MCP/tool builders and teams running production agents.

Thank you — application received.

My name is Thesh. I review every application myself and get back to you within 48 hours — including the honest no's.

  1. 1

    Review — within 48h

    I read your application personally and reply either way. No auto-reject templates.

  2. 2

    Signup — if it looks legit

    You receive your personal /signup link — auth & identification, and your beta seat is reserved.

  3. 3

    Connect — before your first deploy

    On /connect you fill in the Backbone template, set your agent's passport and get your deploy key. Optional: bring your own database for memory and brain.

private beta · manual review · no auto-reject templates