Vercel proposes using
<script type="text/llms.txt"> to include inline instructions for LLMs directly in HTML responses, particularly for access control and agent navigation.
<pre>
<script type="text/llms.txt">
## Note to agents accessing this page:
This page requires authentication to access. Automated agents should use a
Vercel authentication bypass token to access this page.
The easiest way to get a token is using the get_access_to_vercel_url or ...
</script>
</pre>
<script type="text/llms.txt"> to include inline instructions for LLMs directly in HTML responses, particularly for access control and agent navigation.
<pre>
<script type="text/llms.txt">
## Note to agents accessing this page:
This page requires authentication to access. Automated agents should use a
Vercel authentication bypass token to access this page.
The easiest way to get a token is using the get_access_to_vercel_url or ...
</script>
</pre>
> Important: We do not accept PRs for core features.
DockaShell is an MCP (Model Context Protocol) server that gives AI agents isolated Docker containers to work in. Each agent gets its own persistent environment with shell access, file operations, and full audit trails. It aims to remove limitations of current AI assistants like lack of persistent memory, tool babysitting, limited toolsets, and no self-reflection, enabling self-evolving agents, continuous memory, autonomous exploration, and meta-learning.
MCP UI extends the Model Context Protocol to enable AI agents to return fully interactive UI components, solving the challenge of delivering commerce experiences that require visual and interactive elements like product selectors and cart flows. It uses an intent-based messaging system to maintain agent control.
Augment Code joins the CLI coding agent race, positioning itself as and alternative to Claude Code with a focus on automation.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
This demo showcases how the Arch can be used to build an HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. It intelligently routes incoming prompts to the correct targets, providing concise and useful responses tailored for HR and workforce decision-making.
GitHub Copilot now has an Agents page to help developers kick off tasks and track progress. Users can assign tasks to Copilot (tech debt, bug fixes, new features) and Copilot will create a draft pull request for review. The feature is available to Copilot Pro/Pro+, Business, and Enterprise users with the coding agent enabled.
The article discusses the Agent2Agent (A2A) Protocol, an attempt to provide a common language for different AI agents to collaborate without revealing their internal workings. It also compares A2A with the Model Context Protocol (MCP), highlighting their complementary roles in building complex AI systems.
A step-by-step guide to develop a custom code-to-diagram MCP server, explaining the fundamentals of Model Context Protocol and its components with a practical example.
