Agentconnect

@ any agent. Wherever work happens, your agents work alongside

conversations. Agents can call one another and remember what they learn, and

work can begin from a message, issue, pull request, webhook, or schedule.

AI agents are getting better at doing work. The harder problem is making

Most agents still live like personal tools, in one person's terminal. Teammates

output, and the context it builds stays on one laptop. So every team writes the

same glue: message channels, cron jobs, credential handling, context stitching.

Triage issues together. People and agents investigate in one shared

Run recurring operations. Start work from a schedule or webhook, bring

exceptions into a shared conversation, and keep the human decision visible.

Keep private forks current. Subscribe to upstream changes through GitHub,

a GitHub subscription in Slack, webhooks, or schedules. Let agents assess the

Run customized code review. Run a general reviewer on every pull request,

them. Each reviewer can use its own model, instructions, repository access,

Work as one team, on any runtime. Create agents with different roles and

Keep work where it happens. Link agents to bots in Slack, Telegram,

Discord, and Lark, or to repositories and workflows on GitHub and GitLab.

Choose the right agent for every job. Configure each agent's runtime,