WizMem

WizMem for Codex and AI agents

The memory and skill layer for AI agents.

WizMem gives agents a durable project brain: tasks, memories, retrieval traces, feedback, and reusable skills in one inspectable workspace.

Codex task sessionwizmem / web-frontend
active

Implement the sales plan on the homepage

Retrieve the business plan, apply the product story, then save what changed.

directProject decisions

Keep app reads on the mirror, writes on the source system, and preserve tenant boundaries.

score 1.56
reusableDeployment playbook

Run the build, smoke the route, record commands, and save the outcome after validation.

score 1.33
subscribed_skillWebsite chatbot skill

Expose retrieved context in the UI and verify the answer text before calling the demo done.

score 1.09

Agent performance system

Useful work becomes better future context.

WizMem is not a vector database, prompt library, or chat-history search tool. It is the loop that helps an agent capture what worked, retrieve the right context, prove which sources helped, and package hard-won expertise into reusable skills.

01

Task starts

Codex asks WizMem for the brief.

The request includes repository, folder, route, and the work to be done.

02

Context appears

Direct memory, reusable lessons, and subscribed skills stay separate.

The agent can see where each source came from before it acts.

03

Work is recorded

Commands, changed files, tests, blockers, and outcomes attach to the task.

The task becomes evidence instead of disappearing into a chat transcript.

04

Memory improves

Useful sources are reinforced. Stale, wrong, or noisy sources are marked down.

The brain gets better because the product tracks which context actually helped.

05

Skill emerges

A reviewed procedure can become a capability card or shareable skill.

Hard-won project expertise becomes portable without exposing the private project brain.

Five-second proof

Generic AI gives advice. WizMem-backed AI remembers the deal.

Open live sales demo
Customer question

This feels expensive and we already have HubSpot. How do I justify it to my CFO, and what happens if my reps do not use it?

Without WizMem

Vague and generic

Compare your CRM options based on adoption, reporting, automation, and ROI. Ask the vendor about onboarding, training, contract flexibility, and whether a pilot is available.

With WizMem

Grounded in retrieved memory

Keep HubSpot. WizMem sits on top of the sales motion to enforce follow-up discipline. For Northstar, the package is $4,800 per month on an annual agreement, and one recovered job per quarter covers the annual investment at your $18,000 average gross profit.

First users

Built for teams whose AI work depends on remembered context.

Developers

Agents forget repository decisions, deployment fixes, and validation commands.

WizMem starts each task with scoped project memory and saves the verified outcome.

Less rediscovery before every real code change.
Founders

Product, customer, and strategy context is scattered across chats and notes.

WizMem stores durable facts, decisions, preferences, and lessons with provenance.

AI work stays aligned with what the company already decided.
Agencies

Similar client builds still start from a blank prompt.

WizMem turns repeated implementation paths into reviewed capability cards.

The next project starts with a playbook, not a memory test.
Support and sales

Useful customer context lives in old conversations and rarely reaches the next reply.

WizMem retrieves the relevant history and shows the sources behind the answer.

The agent remembers the deal, policy, or customer promise.

Second business engine

Useful work becomes a skill another agent can use.

The near-term product is free memory plus one shareable skill alpha. WizMem should prove that a finished project can become reviewed, redacted, portable expertise.

Useful workReviewed memoryCapability cardShareable skillFaster future task
Watch the skills demo

Free memory wedge

First value should happen before procurement.

  1. Create account
  2. Make an API key
  3. Connect Codex through MCP
  4. Run one real task
  5. Inspect retrieved memory and saved outcome
  6. Review the first candidate lesson
Create account