ContextStream

What is ContextStream?

ContextStream gives AI coding agents a shared memory of your project so decisions, lessons and plans survive between sessions and between tools. It indexes your repositories and exposes hosted code search by intent, exact text or structure, along with dependency and call graphs that show what a change touches. Saved decisions keep a history of what changed and which choice is current, and lessons resurface when similar work comes up. You can reach it from an MCP editor such as Cursor, Claude Code or Codex, from a browser workspace, or from the ContextCode CLI and VS Code extension. Agents can run in specialist roles, hand work to each other and pause for your approval. Every plan has the full feature set and differs only in credits, projects and seats. Starter is $0 per month with 10,000 credits, Pro is $19 per month, Elite is $49 per month, and Team is $79 per user per month with a three-seat minimum.

Use cases

• Keep project decisions across agent sessions
• Search a codebase by intent or structure
• Check what a change affects before refactoring
• Hand work between coding agents
• Run planning, build and review agents
• Share workspaces and credits with a team

Who it's for

• Software developers
• Engineering teams
• Agent builders

Why use ContextStream

• Decisions and lessons are stored once and reused by every connected agent, so you do not repeat context in each session.
• Every plan includes the same features, so the free tier is not a cut-down version of the paid product.
• Dependency and call graphs let you see what a change affects before you start a refactor.
• Stored project memory does not expire when the monthly credit allowance runs out.
• Works from the editor or agent you already use because access is through MCP.

ContextStream features

• Precise code search by intent, exact text, symbol, path or pattern
• Cross-project search within authorized repositories
• Full dependency and call graphs with change impact analysis
• Decision history that tracks which decision is current
• Lessons that resurface when similar work comes up
• Agent orchestration, coordination and handoffs
• Execution controls to pause, resume and approve runs
• ContextCode CLI and VS Code extension on every plan
• Documents, tickets, tasks, reminders and diagrams tied to the project
• Code health analysis for circular dependencies and unused code

ContextStream integrations

• Cursor
• Claude Code
• Codex
• Grok
• VS Code
• MCP

How to get started with ContextStream

1. Create a free account and connect your editor or agent through MCP, or open the browser workspace.
2. Index your project so code, documents and media become searchable.
3. Work with your agent as usual; decisions, lessons and plans are saved to the project.
4. In later sessions or other tools, the agent recalls that history and gets ranked context for the task.
5. Check the billing history in the dashboard to see which operations used credits.

ContextStream limitations

• Usage is metered in Context Credits, and heavier operations such as graph builds cost more
• Starter is limited to 1 user and up to 15 projects
• Team plan requires at least 3 seats, $237 per month minimum
• Your coding assistant's own model charges are billed separately

ContextStream pricing

Yes, ContextStream has a free plan. Paid plans start at $19 per month, according to the official pricing page on 24 Oct 2026.

ContextStream plans

• Starter

  $0/month

  • 10,000 credits every month
  • 1 user, up to 15 projects
  • Unlimited workspaces
  • Every core feature

• Pro

  $19/month

  Billed monthly

  • 25,000 credits every month
  • 1 user, unlimited projects
  • Credit packs available

• Elite

  $49/month

  Billed monthly

  • 100,000 credits every month
  • 1 user, unlimited projects
  • Credit packs available

• Team

  $79/user/month

  Billed monthly, $237/month minimum for 3 seats

  • 200,000 credits per seat, pooled
  • 3+ users, unlimited projects
  • Shared workspaces and administration

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

ContextStream alternatives

The main ContextStream alternatives listed on Debuly are Mem0, Zep, Letta, claude-mem, Context7 and Graft (now Trail-code). The table compares pricing and platforms; order is A–Z.

1. 

   claude-mem

   Open-source memory engine that saves what your coding agent does, summarizes it and brings it back in later sessions.

   CodingDeveloper platformsProductivity
   FreemiumVisit claude-mem (official site)
2. 

   Context7

   Documentation service that feeds coding agents current, version-specific library docs and code examples through MCP, a CLI or an API.

   CodingDeveloper platforms
   FreemiumVisit Context7 (official site)
3. 

   Graft (now Trail-code)

   Open source context layer that maps a codebase for coding agents and stores team learnings as Markdown files in git.

   CodingDeveloper platformsAutomation and agents
   Open sourceVisit Graft (now Trail-code) (official site)
4. 

   Letta

   Platform, formerly MemGPT, for building stateful AI agents with persistent memory, from a terminal app, SDK or API.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Letta (official site)
5. 

   Mem0

   Memory layer for AI agents and apps, available as an open-source package or a managed platform that keeps user context across sessions.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Mem0 (official site)
6. 

   Zep

   Managed memory and context platform for AI agents, built on the Graphiti knowledge graph, with Python, TypeScript and Go SDKs.

   Developer platformsAutomation and agents
   FreemiumVisit Zep (official site)

ContextStream FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from contextstream.io · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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