Skip to main content

Built by makers, shipped in public

Sign in
ContextStream logo

AI Coding Assistants

ContextStream

Shared project context for AI coding agents

Community votes
0
DR by Ahrefs
29 no change since last check
Started
2024

Ahrefs Domain Rating benchmarked 25 Oct 2026, rebuilt 25 Oct 2026.

ContextStream metrics

Benchmarks for contextstream.io: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
MetricValue
Domain Rating29 no change since last check
Trust Flow5 no change since last check
Citation Flow36 no change since last check
Referring domains109 no change since last check
External backlinks943 no change since last check

Ahrefs Domain Rating benchmarked 25 Oct 2026, rebuilt 25 Oct 2026. Main build topic: Society/People (5). Majestic benchmarked 25 Oct 2026, rebuilt 25 Oct 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

ContextStream domain build sheet

Public RDAP record, last read 25 Oct 2026, 17:51 UTC.
Domain age10 months
Registered
Expires
RegistrarCloudflare, Inc
DNSSECNot signed

Inspect contextstream.io's registration

Platform that combines hosted code search with saved project knowledge—decisions, lessons, and plans—to help AI coding agents in Cursor, Claude Code, and other

What it is

Screenshot of the ContextStream homepage
contextstream.io, as visitors see it

ContextStream keeps your project's decisions, preferences, and lessons, plus indexed code and search, outside any one session. The next agent starts where the last one stopped. It brings indexed code and saved project knowledge into AI tools you already use through MCP, so agents stay aligned as the work evolves. Every part of an answer points to its source and says whether that source is current. The platform includes decisions with reasoning, preferences, insights, lessons, plans, runbooks, and handoffs that agents can follow, update, and pass on.

What it is built with

  • Hosted code search with indexing and dependency graphs
  • Save and retrieve project decisions with reasoning
  • Record lessons from past work to guide future tasks
  • Plans, runbooks, and handoffs for agent coordination
  • MCP integration with Cursor, Claude Code, Codex, Grok
  • Change impact analysis and code health metrics
  • Team collaboration with shared workspaces
  • Privacy controls and access permissions
  • ContextCode CLI and VS Code extension
  • Knowledge Atlas to explore code and project connections

Pricing

Pricing model: Freemium

Starter: Free with 10,000 credits every month, 1 user, up to 15 projects. Pro: $19/month with 25,000 credits every month, 1 user, unlimited projects. Elite: $49/month with 100,000 credits every month, 1 user, unlimited projects. Team: $79/user/month with 200,000 credits per seat pooled, 3+ users, $2

See ContextStream's full pricing (new tab)

Questions from the bench

What is ContextStream?
ContextStream is shared project context for AI coding agents. It combines hosted code search with saved project knowledge—decisions, lessons, preferences, insights, and plans—and delivers relevant context to Cursor, Claude Code, Codex, Grok, and other MCP clients so agents build on past work across sessions.
How do I connect ContextStream to Cursor, Claude Code, or Codex?
Start free at contextstream.io, then run the MCP installation script or add the hosted MCP URL in your MCP client. Setup walks you through signing in, choosing a workspace, linking the project, and selecting your supported editor. The connection and instruction files are configured automatically, then indexing starts in the background. Restart your editor afterward.
Does my code leave my machine?
Yes. Code search sends eligible file contents to ContextStream for hosted indexing, even with a local MCP connection. You should review .gitignore and .contextignore before indexing, as built-in exclusions do not guarantee that every sensitive file is excluded.
What do the ContextStream benchmarks show?
Published benchmarks report 91.4% memory accuracy on the LongMemEval-S suite, 99.38% useful-file code recall at Recall@10, and 23 out of 24 agentic wake-bench tasks passed with ContextStream versus 14 out of 24 without. These are results on published evaluations, not a guarantee for every project.
Do you train AI models on my data?
No. ContextStream does not use your project data to train AI models, and never sells it. The same access and sharing controls apply on every plan.

Find ContextStream online

Leave a review for ContextStream

Nobody has put ContextStream on the bench yet. Leave the first review.

Your rating

Reviewing is free, and nobody can pay for a review. Read the bench notes

Maker reviews · Workshop notes · Show it off · Did you make this? Claim it · Report this build

More on this profile

ContextStream has a free listing. The owner can unlock the full profile with a paid launch for $5:

  • Founder story (locked)
  • Milestones (locked)
  • Demo video (locked)
  • Dofollow website link (locked)

More builds like this

Ask us