Project understanding
Understand complete projects and code context, with layered memory for project knowledge, coding preferences and engineering conventions.
Now available: V— · New Context CompactionAI Coding Agent forReal Software Projects
CodeBear is an AI coding assistant with long-term memory that understands codebases, edits code, runs tests and commands, and completes real software development tasks.
6Core capabilities
MCP+Plugin ecosystem
3Native platforms
AI CODING AGENT PROJECT UNDERSTANDING CODE GENERATION & EDITING CODE REVIEW & TESTING COMMAND EXECUTION PROJECT SEARCH MCP INTEGRATION LONG-TERM PROJECT MEMORY AI CODING AGENT PROJECT UNDERSTANDING CODE GENERATION & EDITING CODE REVIEW & TESTING COMMAND EXECUTION PROJECT SEARCH MCP INTEGRATION LONG-TERM PROJECT MEMORYCapabilities
Understand complete projects. Finish real development work.
As an AI coding agent and developer assistant, CodeBear supports developers, engineering teams and technical leaders across project understanding, code generation, debugging, testing and AI-assisted development.
File operations
Read, create and edit local code files for code generation, code changes and context-aware code completion.
Command execution
Run build, test and development commands to debug issues and verify results inside real software projects.
Project search
Search code, files and project context to support code review, issue diagnosis and complex development tasks.
MCP integration
Connect MCP tools and external capabilities to extend AI workflows, developer platforms and API integrations.
Multi-platform support
Support for macOS and Windows brings an AI coding assistant directly into your local software development environment.
Live Agent
Watch it work for real
Not a chatbot—an agent that executes tasks inside your project.
code – bear – agent — ~/your-projectLive
Add pagination to the users API.
FAQ
About the CodeBear AI coding assistant
Learn how CodeBear works as an AI coding agent to understand codebases, generate and edit code, run tests and connect MCP tools.
What is CodeBear?
CodeBear is an AI coding agent and coding assistant for real software projects. It understands project context, reads and edits local files, runs development commands and helps complete verifiable engineering tasks.
Can CodeBear generate, edit and test code?
Yes. CodeBear supports code generation, code editing, context-aware completion, code review and testing. It can run build and test commands inside a project to diagnose issues and verify results.
How is CodeBear different from a typical AI coding assistant?
CodeBear uses layered long-term memory to understand complete projects, retain project knowledge, coding preferences and engineering conventions, and complete multi-step tasks with project search and command execution.
Which platforms and integrations does CodeBear support?
CodeBear supports macOS and Windows and connects to external tools, APIs and developer platforms through MCP, helping developers and engineering teams automate software development workflows.
Who is CodeBear for?
CodeBear can serve as an AI Developer Assistant, AI Programmer or Programming Agent for individual developers and engineering teams. It supports AI-Assisted Development, Automated Programming and Real Project Coding workflows that improve Developer Productivity across Software Development AI use cases.
Does CodeBear support end-to-end coding workflows?
Yes. CodeBear combines Project Understanding, Code Generation, Code Editing, Code Completion, Code Review, Code Testing, Command Execution and MCP Integration in one AI coding workflow.
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macOS
V—Apple Silicon · arm64 · DMG
Coming soon
macOS
V—Intel · x64 · DMG
Coming soon
Windows
V—Windows 10 / 11 · x64 · EXE
Coming soonAlways evolving
Every release makes CodeBear stronger and more reliable
Put AI to workinside your real project
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Red Bear AI Product Portfolio
From foundation models and AI coding agents to long-term memory platforms, Red Bear AI provides a complete AI technology stack for enterprises and developers.
Red Bear AI develops memory-native artificial intelligence technologies across foundation models, AI agents, AI coding and AI memory platforms, helping enterprises and developers build AI systems that continuously learn, understand users and complete complex tasks.