How to connect Slack, Notion, and GitHub to an AI agent

GitHub usually explains implementation history: pull requests, issues, ownership, bugs, and code decisions. Slack explains coordination: what changed, who decided it, and what is blocked.

Notion or Confluence explain durable process: onboarding docs, product requirements, operating principles, and team knowledge that should not disappear in chat history.

A production agent should not ask users to paste personal tokens into random config files. Use OAuth where possible, store tokens securely, and map each connected account to the correct organization and project.

For early imports, URL, text, PDF, and repository sync are enough to prove value. For company-wide rollout, source status and failure handling matter as much as the initial connection.

Slack should produce decisions, people, dates, blockers, and preferences. GitHub should produce architecture decisions, changed files, owners, and bug context. Notion should produce durable procedures and facts.

Treat every extracted memory as a claim with evidence. If the system cannot point back to where a claim came from, the agent should not rely on it.

The agent should ask the memory layer for relevant context before important actions. That keeps prompts small, avoids stale dumps, and lets the retrieval engine choose the right source mix.

With RetainDB, the dashboard manages sources and the agent reads through MCP or API. That gives humans control and gives agents a stable context interface.