One agent per tool
Connect Codex, Claude, ChatGPT and Cursor each as its own agent with its own token, so every tool sees the others' work and history names who wrote each line.
Your team writes code in Codex and Claude Code, designs in Claude, and thinks out loud in ChatGPT. Each tool is sharp for an hour and blank the next morning, and none of them knows what the others did. Memava is the one memory they all read and write, with every line signed by the tool that wrote it.
Priya builds the matching logic. Priya's agent logs what it decided, and why, in the project note.
Sam designs the screen. Sam's agent reads the project note first, so the design fits the logic without a meeting.
Alex joins and asks their own agent what changed this week. It answers from the history, with names: the logic, the screen, and what is left.
Connect Codex, Claude, ChatGPT and Cursor each as its own agent with its own token, so every tool sees the others' work and history names who wrote each line.
Every vault ships the end-of-session log skill: an agent records what it did, what is left, and what the next person must know. Your CI can append what merged through the REST door.
Ask your own agent what changed this week and who did it. It answers from the history, person by person, without anyone writing a status update.
See which agent wrote a wrong line and when, fix that line, or undo the agent's whole sitting in one step. An agent can also be switched to Proposals only, so a person accepts each of its changes first.
Memava does not read your repositories, and it does not run or route your agents. It is the memory and the record they share. Your code stays where it lives; what your tools learn about it lands here.
Keep reading: Memava for research teams · How to give AI agents a real, shared memory · CLAUDE.md, AGENTS.md and a shared team memory