What is ContextStream?
ContextStream is a project memory layer for AI coding tools like Cursor, Claude Code, and Codex. It stores decisions, lessons, guardrails, handoffs, and code context, then feeds them to your agents through MCP. Each new session starts with the full picture instead of a blank prompt, which cuts repeated mistakes.
Top Features:
- Project memory: saves decisions, lessons, runbooks, and handoffs for every future session.
- Code search: hosted search finds relevant files and shows what a change could affect.
- MCP integration: connects to Cursor, Claude Code, Codex, and Grok in one install.
Use Cases:
- Session handoffs: pick up earlier work with notes on what is still open.
- Guardrails: keep agents inside the boundaries your project must always respect.
- Team coordination: see who is working on what and what recently changed.
Who Can Use ContextStream?
- Solo developers: keep long AI coding sessions on track without repeating yourself.
- Engineering teams: share one pooled memory so every agent follows the same decisions.
- Tech leads: record architecture choices that new contributors and agents should follow.
Pricing
- Starter (free): 10,000 monthly credits, one user, and up to 15 projects.
- Pro ($19 monthly): 25,000 monthly credits and unlimited projects for one user.
- Elite ($49 monthly): 100,000 monthly credits for heavy solo agent usage.
- Team ($79 per user): pooled credits, shared workspaces, and a three-seat minimum.
Pros and Cons
Pros:
- Wide tool support: works with the AI coding agents many developers already use.
- Generous free tier: the Starter plan includes every core feature with no deadline.
- Published benchmarks: memory and code recall scores are shared on a public page.
Cons:
- Credit system: metered credits need some tracking on busy projects.
- Coding focus: the memory is built for software projects, not general work.
- Setup required: you must install the MCP server before agents see context.
FAQs:
1) Which tools does it work with?
It connects through MCP to Cursor, Claude Code, Codex, Grok, and VS Code.
2) Is there a free plan?
Yes, Starter is free with 10,000 monthly credits and no card required.
3) What kind of memory does it store?
Decisions, lessons, guardrails, code context, handoffs, runbooks, and who is working on what.
4) Can teams share memory?
Yes, the Team plan pools credits and gives members shared workspaces.
5) How is setup done?
Run a one-line install script that adds the MCP server to your tools.