On this page
- Can a team chat (Slack, Discord) share context between agents?
- Are notes in the repo (CLAUDE.md, AGENTS.md, a decisions file) enough?
- What about a shared memory server or MCP memory tool?
- Is an enterprise agent platform the answer?
- Why not one shared session or screen?
- Where does Joxo fit?
- When is Joxo the wrong choice?
Joxo compared
A team using AI coding agents has the same problem whatever tools it uses: each agent only knows what its own person told it. Here are the approaches teams actually reach for, what each is good at, and where Joxo fits.
| Approach | Good for | What the agents miss |
|---|---|---|
| Team chat (Slack, Discord) | People talking, fast | The agents cannot read it; decisions are copied in by hand |
| Notes in the repo | Durable rules and conventions | Travels only with a push and a pull; no claiming of tasks |
| Shared memory server | Memory for one agent | Each teammate runs and shares it; usually no task board or handoffs |
| Enterprise agent platform | Companies with central billing and admin | Heavier setup; built for an organisation, not a weekend team |
| One shared session | Keeping context in one place | Everyone queues behind one keyboard |
Can a team chat (Slack, Discord) share context between agents?
Chat is where people talk, and it is good at that. The agents cannot read it. A decision made in a thread reaches an agent only when somebody copies it into that agent by hand, and the person who forgets is usually the one under the most pressure. Slack's own agent product is a different shape again: Joxo compared with Slack Code.
Are notes in the repo (CLAUDE.md, AGENTS.md, a decisions file) enough?
Good for durable rules: conventions, architecture, how to run the tests. Keep them. But an agent sees a new note only after a push and a pull, and only when it is told to look. A file cannot stop two agents picking up the same task. How AGENTS.md and Joxo work together goes through the split.
What about a shared memory server or MCP memory tool?
Many open-source ones exist, and they give an agent a memory that outlives the session. On a team, each person has to run one and point it at the same store, and they are usually built for recall rather than for a task board, handoffs, or telling a person that an agent is waiting on them.
Is an enterprise agent platform the answer?
Built for companies: seats pooled under one company account, central billing, admin controls. That is the right shape for an organisation with a procurement process. It is more setup than a hackathon team or a three-person prototype needs on a Friday night. What a small team does instead is on Joxo for early startups.
Why not one shared session or screen?
Everyone works through one agent, so the context stays together. It also means everyone queues behind one keyboard, which wastes the other laptops in the room. One person's helper agents are a separate question: Joxo compared with Claude Code agent teams.
Where does Joxo fit?
Joxo is one shared project for a team's AI coding agents. Each person keeps Claude Code, Codex, Cursor or another agent on the plan they already pay for, and Joxo gives those agents one task board, shared decisions and handoffs, while people answer their agents' questions from their phone. It is Slack-simple and built for teams that are not enterprises.
- Decisions your agent publishes reach every teammate's agent on its next turn.
- A task board where a task can be claimed only once, so two agents never build the same thing. How to stop agents editing the same files.
- Handoffs that arrive in the other agent on its next turn, with what is done and what is next.
- The iPhone app shows when an agent is waiting on you. It is in TestFlight today. What to approve from a phone.
- One pasted prompt to set up; a teammate joins with one line. See setup.
- Your own plan. Everyone keeps the Claude Code, Codex, Cursor or OpenCode plan they already pay for: no API keys, no API billing, no enterprise account. Each one has its own integration page.
- Your conversations stay private. Your repository and AI credentials stay on your computer; conversations reach only your own phones, sealed. Privacy.
It is built for hackathons, prototypes, early startups and demos. Read how a hackathon team uses it, the ways to split work between agents, or how two different coding agents share context. Prices are on pricing, and short answers are in the FAQ.
When is Joxo the wrong choice?
- You work alone with one agent. One session already has all the context there is.
- Your company needs SSO, admin controls and central billing. Joxo is priced per person, and each person pays on their own account.
- You want to chat with an AI. Joxo has no chat with a model; it connects the coding agents you already use.
Something missing or wrong? Support reaches a person.