Your agents learn.
You repeat less.

MidBrain turns your team’s feedback and experience into learned procedures your agents apply to future tasks.

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Keep the agent and model you already use.

What did the last release
teach us?

Before 2.4 ships, check what reviewers flagged on 2.3.
  • Recall the release procedure
  • Show review notes from 2.3
  • List corrections saved this week
Repeated reminders per release
Learned procedure

Verify rollback before shipping.

From review 2.3, applied on 2.4
recalled, release procedure, 0.94

Keep learning across your tools.

Share experience across supported clients with API, MCP and Memory Viewer.

Claude Code Cursor Codex Hermes Agent
01 / Less repeated correction

Stop correcting
the same mistake.

Monday / The missed check

“Ready to ship.”
The rollback check
was skipped.

Tuesday / The same mistake

“Ready to ship.”
A new session.
The same missed check.

Carry the rollback lesson into the next session, so you do not have to repeat the reminder.

02 / Turn feedback into progress

Turn corrections into
better next steps.

The agent proposes shipping without verifying rollback. A reviewer corrects it once, and the next run starts from that correction.

Ready to ship, without the check

The agent proposes shipping without verifying rollback. “Ready to ship.” The rollback check was skipped, and the release goes to review.

See the learning loop →

Correct it once

A reviewer flags the missed check on release 2.3 and says “Verify rollback before shipping.” One correction is enough. The next run starts from it.

See the learning loop →

Make the correction reusable

The reviewer says “Verify rollback before shipping.” MidBrain saves the correction with its release context and updates the rule the agent applies next time.

See the learning loop →
Release 2.3Previous run
Run the release checklist
Tag the release owner on risky changes
Verify rollbackSKIPPED
The rollback check was skipped.
RELEASE 2.3“Ready to ship.”
Review notes from 2.3Reviewer
“Verify rollback before shipping.”CORRECTION
Saved with its release context
Source: reviewer feedback on release 2.3
RELEASE 2.3✓ Correction savedCorrected once
Release procedureUpdated
Verify rollback before proposing a releaseNEW
Run the release checklist
Tag the release owner on risky changes
Source: reviewer feedback on release 2.3
RELEASE 2.4✓ Rollback verified✓ Release proposed after the check
SmartSearch / Retrieval evaluation

Find useful
experience

Give agents the relevant experience to learn from. These results measure retrieval performance.

Read the SmartSearch paper ↗
MIDBRAIN RESEARCHSmartSearch

Retrieval results, measured

LOCOMO93.5%Long-conversation recall benchmark
LONGMEMEVAL-S88.4%Long-horizon memory evaluation
TOKEN EFFICIENCY8.5×Fewer tokens than full context
CPU LATENCY~650 msRetrieval on CPU, no GPU required
03 / The learning loop

Put past feedback
to work on
the next run.

The updated rollback rule returns at recall, helping the agent check rollback before proposing the next release.

Add MidBrain through the API or MCP.
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Read the API docs →
During the next request
Recall the release procedure
ACTION CHANGEDCheck rollback before proposing release
Record the outcome and reviewer feedback
Carry the lesson forward

Each new run can build on the updated procedure.

After the request
04 / Example use cases

Put better habits to work. A reviewer teaches the rule once, and every authorised agent applies it on the next task.

Escalate security reportsVerify rollbackRoute sensitive casesReuse review checksFollow the handoff ruleCheck release notesCite the source document
Confirm before deleting dataApply style correctionsShare the lessonAsk before refundingKeep private notes privateTag the release ownerSummarise the last review
Customer support

Get sensitive cases
to the right person

WHAT IT LEARNS

A reviewer teaches the escalation rule: send security reports to a specialist before replying to the customer.

WHAT IT DOES NEXT

The agent spots the next security report and escalates it before replying, applying the reviewer’s correction.

Internal operations

Share the lesson.
Reuse the check.

WHAT IT LEARNS

A release review teaches the agent to verify rollback before proposing a release.

WHAT IT DOES NEXT

Another authorised agent uses that lesson: it retrieves the procedure and checks rollback on the next release.

05 / Shared learning, controlled access

Share what agents learn.
Keep private work private.

Both agents benefit from the same release procedure. Scoped access keeps release events and review notes separate.

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Shared procedures

Both agents can read and apply the same release procedure.

Scoped keys

Scoped keys control which agent can read which records.

Capability-scoped access

Grant access by capability, so each agent gets only what its work needs.

Private records

Release events and review notes stay separate from the shared procedure.

Encryption

Encryption helps protect shared company knowledge and experience.

Snapshots

Snapshots help protect what your agents have learned.

Our investors

Backed by founders and operators
who have built at scale.

Exponential VC AGI House Lighthouse Ventures Gi21 Capital Founders Factory

Angel investors: Thomas Wolf (Hugging Face), Ryan Petterson (Unity), Mikko Kodisoja (Supercell), Urho Konttori (Varjo/Distance), Clive Downie (Unity), Matt Bilbey (EA Games)

Experience your agent can use

Help your agent improve
with every task.

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Read the API docs →
Common questions

Fit learning into
the way you work.

Read the API docs →

Give your agents experience they can reuse outside the model. MidBrain stores interactions and documents, retrieves what is relevant, and consolidates stable knowledge and useful procedures.

No. Keep the agent and model you already use. Add MidBrain through the API or MCP.

Scoped keys control which agent can read which records. Grant access by capability, so each agent gets only what its work needs, while release events and review notes stay separate from the shared procedure.

Agents can recall a learned procedure, apply a reviewer’s correction on the next task, and share the lesson with other authorised agents. MidBrain works with Claude Code, Cursor, Codex, MCP and the REST API.