Agent Context
UnclaimedAttach external codebases to your workspace for AI tools like Copilot and Cursor to use as reference.
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What is Agent Context?
Agent Context (ide & code editors): Attach external codebases to your workspace for AI tools like Copilot and Cursor to use as reference. Agent Context is a VS Code extension designed to enhance AI-assisted development by providing AI coding tools with access to external reference codebases. It allows developers to attach external folders containing valuable code (e.g., previous services, internal starter projects, architecture patterns, experimental repos) to their current workspace. Key capabilities: Attach external folders as live references, Expose external code via symlinks inside workspace, Maintain a shared instructions file for humans and AI, Provide a sidebar to manage attached context, Store descriptions for each reference. Agent Context ships a free plan plus paid tiers that unlock as usage grows. Buyers most often compare Agent Context against Amazon CodeWhisperer, Aider, Gemini CLI.
TL;DR - Agent Context
- Provides AI coding tools with external code context via symlinks.
- Keeps repositories clean by avoiding code copying or vendoring.
- Generates shared instructions for humans and AI on reference projects.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Enhances AI coding tool context without polluting current repository.
- Facilitates consistent code generation by AI based on real examples.
- Streamlines development by making reference code easily accessible.
- Supports team alignment on reference implementations.
- Lightweight and integrates directly into VS Code.
Cons
- Requires VS Code and Node.js for development.
- Relies on symlinks, which might have specific OS considerations or limitations.
- Primarily benefits users of AI coding tools like Copilot and Cursor.
Key Features
Attach external folders as live referencesExpose external code via symlinks inside workspaceMaintain a shared instructions file for humans and AIProvide a sidebar to manage attached contextStore descriptions for each referenceAuto-managed .gitignore block for symlinked foldersFast, lightweight, zero-copy workflowConfiguration options for target folder and instructions file
Pricing Plans
Free TrialFree
$0 USD per month
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- Issues & Projects
- Community support
- GitHub Copilot Access
- GitHub Codespaces Access
Team
$4 USD per user/month
- Everything included in Free
- Access to GitHub Codespaces
- Repository rules
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
- GitHub Secret Protection
- GitHub Code Security
Enterprise
$21 USD per user/month
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate
About Agent Context
By Toolradar Team·
Agent Context is a VS Code extension designed to enhance AI-assisted development by providing AI coding tools with access to external reference codebases. It allows developers to attach external folders containing valuable code (e.g., previous services, internal starter projects, architecture patterns, experimental repos) to their current workspace. This is achieved by creating symlinks to these external projects within the workspace, making them accessible to AI tools like GitHub Copilot and Cursor without copying or vendoring the code directly into the repository.
The tool is built for developers who frequently reuse patterns across projects and want their AI assistants to generate more consistent and accurate code based on real-world examples. It maintains a clean repository by using symlinks and generates a shared instructions file that describes each reference project, helping both humans and AI understand their purpose. This enables AI tools to leverage a broader context, leading to better code suggestions and improved developer productivity, especially in environments where code consistency and adherence to established patterns are crucial.
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Agent Context FAQ
How does Agent Context prevent external code from being copied into my main repository?
Agent Context uses symlinks (symbolic links) to create references to external folders within your workspace. This means the actual code files remain in their original location, and only a pointer to them is created in your current project, effectively avoiding duplication and keeping your repository clean.
What kind of information does the generated instructions file contain for AI tools?
The generated instructions file typically lists the available reference projects, describes what each project is useful for, and provides guidance to AI tools on how to leverage these examples. This helps AI generate more relevant and consistent code suggestions based on your established patterns.
Can I customize where the symlinked reference projects are created within my workspace?
Yes, Agent Context provides a configuration option called
agentContext.targetFolder which defaults to .examples/. You can change this setting to specify a different directory within your workspace where the symlinks to external reference projects will be created.Is Agent Context compatible with other AI coding assistants besides GitHub Copilot and Cursor?
While the documentation specifically mentions GitHub Copilot and Cursor, Agent Context works by making external codebases accessible within your VS Code workspace. Any AI coding assistant that reads and processes the code within your active workspace, including symlinked directories, should theoretically be able to utilize the context provided by Agent Context.
Source: github.com