ByteBell

AI Context Layer for Engineering

AI memory layer that ingests code, docs & decisions into a permission-aware context graph, serving cited answers to IDEs, CLIs, Slack & MCP.

AI Agent Online

Measurable Impact for Technical Teams

Real results within 30 days of implementation

75x

Cheaper Queries

Relevant Context

95%

Accuracy, Uncovers Hidden Bottlenecks

Across Code and Docs

$125k+

Savings in the First Year

92%

Developer Satisfaction

Higher engagement and adoption

Enterprise-Ready Architecture

Permission-aware • Scalable • Auditable

Continuous ingestion + permissions

Code, docs, ADRs, chat

Feeds any assistant via API/MCP

Cursor, Claude, Windsurf

Citations & analytics

Trust, governance, and ROI

Rapid Protocol Evolution

Protocols fork/upgrade weekly, leaving docs obsolete within days, causing developer confusion.

Fragmented Knowledge

Developers waste 30% of their time searching across GitHub, docs, and Discord, leading to frustration.

Slow Onboarding

New devs must learn niche tools, EVM quirks, and gas optimization simultaneously, leading to high churn.

Lack of 24/7 Support

DevRel teams can't keep up with developers across different timezones, creating uneven experience.

Technical Silos

Critical information trapped with a few team members, creating vulnerability to turnover.

Knowledge Vanishing

90% of Discord solutions never reach documentation, creating cycles of repeated questions.

ByteBell Superpowers

Our AI agents understand your code, not just your documentation. Built with cutting-edge technology.

Code-Aware AI

Understands your actual implementation, not just docs. Creates precise, context-aware responses based on your repositories.

Unified Knowledge Hub

Seamlessly integrates GitHub, docs, Discord, and Twitter into one searchable knowledge graph that never forgets.

Unique Indexing

Code repositories, PDFs, technical docs, forums, PPTX, and research papers.

Real-time Analytics

Chat analytics and Slack notifications for unresolved queries and performance tracking.

MCP Integration

Server integration with Claude, Cursor, and other tools for real-time updates.

Tutorial Generation

Automated tutorial creation for rapid onboarding and comprehensive learning paths.

MCP Server Integration

Connect ByteBell directly to your development tools through Model Context Protocol for seamless knowledge sharing

MCP Server Architecture

ByteBell's MCP server implementation allows direct integration with AI development tools, providing real-time access to your ecosystem's knowledge base without leaving your IDE.

• Instant knowledge updates across development tools

• Context-aware code suggestions based on your docs

• Unified developer experience across all platforms

• Automated knowledge synchronization

Claude Integration

Seamless integration with Claude AI for enhanced developer support capabilities

Cursor IDE Support

Direct integration with Cursor and other development environments

Real-time Updates

Live synchronization of knowledge base updates across all connected tools

Protocol Compliance

Built on Model Context Protocol standards for reliable integration

Ready for Next-Gen Development?

Experience the future of developer support with MCP-enabled AI tools that understand your entire ecosystem

Real-time

Knowledge Sync

Zero

Context Switching

100%

IDE Compatible

Pricing Structure

Choose the plan that fits your ecosystem needs

STARTER PLAN

$249 /month

Perfect for individual DevRel professionals or small teams

1500 messages monthly
Manual content refresh
Email/Slack alerts
Github repositories indexing
Websites/Images/Docs indexing