# ContextStream — AI Coding Tool Review & Pricing

> ContextStream is an AI coding platform that provides persistent project memory and code intelligence for AI agents across various tools like Cursor and Claude Code. It unifies code search, decision logs, lessons, and project plans into a single, queryable intelligence layer via the Model Context Protocol (MCP).

Source: https://ai.dosa.dev/tools/contextstream · Updated Oct 15, 2026 · Category: AI Codebase Knowledge & Generation · Published by dosa.dev

## At a glance

- **Tool**: ContextStream
- **Company**: ContextStream
- **Category**: [AI Codebase Knowledge & Generation](https://ai.dosa.dev/category/codebase-ai)
- **Pricing model**: Freemium
- **Official website**: https://contextstream.io

## Key features

- Persistent project memory and session recall
- Precise code search and dependency/call graph analysis
- Decision learning to store project-specific reasoning and lessons
- Agent coordination and orchestration across workspaces
- ContextCapsules for sharing scoped, redacted context bundles

## Pricing

**Model**: Freemium

Starter plan is free with 10,000 monthly credits and 15 projects. Pro is $19/month for 25,000 credits, Elite is $49/month for 100,000 credits, and Team is $79/user/month (3-seat minimum) for 200,000 credits per seat.

## Who it is for

- **Best for**: Developers seeking to maintain consistent project context, reasoning, and decision history across different AI coding sessions and tools without repeating instructions.
- **Not ideal for**: Users requiring strictly local, offline-only data processing, as the platform relies on hosted indexing and context management.

## Verdict

A powerful utility for power users of AI coding agents who want to solve the problem of fragmented chat history by creating a durable, intelligent knowledge base for their repositories.

## Recent updates

Recent releases include expanded 3-hop Atlas traversal, decision-aware AI agent workflows, and agent run pause/resume controls in ContextCode v0.7.50.

## Frequently asked questions

### Is ContextStream free?

ContextStream is Freemium. Starter plan is free with 10,000 monthly credits and 15 projects. Pro is $19/month for 25,000 credits, Elite is $49/month for 100,000 credits, and Team is $79/user/month (3-seat minimum) for 200,000 credits per seat. Check the official site for current plans.

### Is ContextStream open source?

ContextStream is not listed as open source on ai.dosa.dev - it is Freemium.

### How much does ContextStream cost?

Starter plan is free with 10,000 monthly credits and 15 projects. Pro is $19/month for 25,000 credits, Elite is $49/month for 100,000 credits, and Team is $79/user/month (3-seat minimum) for 200,000 credits per seat. Pricing changes often - verify on the official site.

### Who is ContextStream best for?

Developers seeking to maintain consistent project context, reasoning, and decision history across different AI coding sessions and tools without repeating instructions.

### Who is ContextStream not ideal for?

Users requiring strictly local, offline-only data processing, as the platform relies on hosted indexing and context management.

### What are the best ContextStream alternatives?

The closest ContextStream alternatives on ai.dosa.dev are Greptile, Fern, remio - all listed under AI Codebase Knowledge & Generation.

### Who makes ContextStream?

ContextStream is developed by ContextStream. It is listed in the AI Codebase Knowledge & Generation category on ai.dosa.dev.

## Top alternatives

- [Greptile](https://ai.dosa.dev/tools/greptile) (Freemium) — Engineering teams needing consistent, context-aware code reviews and automated validation that integrates across multiple AI coding agents.
- [Fern](https://ai.dosa.dev/tools/fern) (Freemium) — Teams needing to keep SDKs, documentation, and AI-agent knowledge bases in sync with their API specifications.
- [remio](https://ai.dosa.dev/tools/remio) (Freemium) — Knowledge workers such as consultants, researchers, product managers, and strategists who need to synthesize large volumes of internal documentation, meetings, and research into actionable outputs.
- [OKF Agent Memory](https://ai.dosa.dev/tools/okf-agent-memory) (Open Source) — Software engineering teams and developers needing auditable, version-controlled AI agent memory without the latency or recurring costs of vector databases.
- [Tseha](https://ai.dosa.dev/tools/tseha) (Freemium) — Engineering teams that want to ensure AI coding agents consistently follow internal architectural rules, use approved components, and apply current design tokens across multiple repositories.
- [Brain Scanner](https://ai.dosa.dev/tools/brain-scanner) (Free) — Developers working with AI coding agents who need to track project evolution, maintain context across multiple sessions, and audit changes.
- Full alternatives guide: https://ai.dosa.dev/tools/contextstream/alternatives