Thirty seconds from “what is this?” to “why it matters.”
ContextStream turns the context your team normally loses between sessions into shared memory future agents can use before they touch the repo.
Capture what the team learns
Decisions, corrections, lessons, runbooks, tasks, and repo guardrails become durable project context.
Retrieve it before the next edit
Your agent searches the codebase and the project memory together instead of starting from a blank session.
Carry context across tools
The same project memory follows the team between MCP-compatible coding agents and editors.
agent tasks completed with project memory
Compared with 14 / 24 without it, using the same agent and the same repository. This is a 24-task evaluation, not a customer outcome claim.
Ask the question your last session already answered.
ContextStream retrieves the relevant decision, code, and project scope so the agent can act from evidence instead of guessing.
Stop reteaching agents the same repo context.
Install ContextStream, connect one project, and make the next AI session better than the last one.