Context Engineering for AI Agents Needs Shared Memory Too

For intricate agent workflows, a clever prompt is only the start. The agent needs the right decision, source link, or code history at the right step, even after a new session or tool switch.

Streamient keeps notes, decisions, URLs, emails, and Git context searchable and reusable through MCP. Teams can inspect and update the shared memory instead of rebuilding a briefing for every agent. See how Streamient works and why agents need more context.

As this discussion on context engineering asks: which workflow would you give an agent next?