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Your AI has the wrong type of memory.

AI Code Control

AI gets it wrong because traditional code context memory is syntax: functions and keywords. Your code also has relationships, meaning and a history, and syntax memory keeps none of them. Vybright keeps all three in a perpetual memory called shared semantic memory. Your agent reads that memory, writes better code on the first prompt, and the fixes stay fixed. Give your agent the right memory.

Code phrases connect through a shared record to a coding tool.

Cut AI costs

Share between agents

Repair the past

Reports on demand

Semantic code memory, shared across your agents.

The more code you show your AI, the more it guesses.

Every prompt, your agent rereads half your project to find one function, and you pay for every word. Vybright hands your agent the one piece the job needs and nothing else. You ask once, and the token bill is smaller. Feed it less and get more back.

Related code phrases highlighted across several files.

SHARED MEMORY

Switch AI agents in the middle of a task. The new agent remembers everything the other agents did.

Start one agent on a problem. If you don’t like where that agent went, hand the problem to a second agent. The second agent sees everything the first agent did, because every agent shares the same memory. Bring every agent you run.

Vybright works beside the agents you already use. You keep your editor and every agent in it.

Multiple coding tools connected to one shared change record.
Changes from several coding tools connected in one ordered history.

Record

Every change an agent makes is written to the record as it happens, one small piece at a time, with what it touches attached.

One selected change returns while surrounding code remains in place.

Reverse

Take back one change and leave the work around it standing. Vybright repairs what that change touched.

Linked change records with a verification symbol.

Prove

Every change and every reversal carries a receipt. Reviewers and auditors can check the record without us. A provable record, not a promise the code is right.

HOW IT WORKS

Why small pieces matter

1. Context

Every AI model works from context, the code and history you show it before it answers. Show it the right things and it does the job. Show it too much and it guesses.

2. Big pieces

Today the tools feed context in whole files and whole chat histories. The model pays for every word and has to find the part that matters on its own.

3. Small pieces

Vybright keeps the code in pieces the size of a single change, with what each piece does, what it touches and every change made to it.

4. What you get

An agent gets the exact pieces for the job and nothing else. When it changes something, you know the one piece that changed and what depended on it, and you can take that one change back.

Which agent changed that, and on whose instruction.

When something breaks, the first question is which agent changed the code and what that agent was told. Today the answer is a guess. Vybright answers with the agent, the instruction and the time, for every change that passed through Vybright. The record does not judge whether the code is right, and does not guess who wrote the code.

Agent, instruction and time, every change. Reports on demand. Only what passed through Vybright.

Built for the developer. Ready for the team.

Fix the code once. The fix stays fixed.

Tell your agent to fix the change that went wrong. Your agent fixes that one change, and the work you did after that change keeps working. Your agent used the history of your code to get there. You didn’t have to touch the history. Stop reverting the whole day.

Vybright will reach back through your code’s history as far as you want. For the Developer Preview we’ve reined that reach in to a rolling history of your last 5 changes, for testing.

Communication makes a team. Now your agents can communicate.

Your teammates run different agents on the same code, and that is fine. What one agent changed, the next agent knows. When the work lands on you, the memory comes with the work, and nobody re-explains the codebase.

Better context is lower cost. Shared context is cleaner code.

Registering takes a minute. Tell us where your agent gets the code wrong, or about the fix that didn’t stay fixed.

We email you when the release opens. Please do not include source code.