The loop is needed for tool calling to work: model requests a tool, harness runs that tool, feeds the output back into the model, model optionally requests another tool
CODE
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MATLAB Campus License Available for University Students
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Thank you for your interest in MATLAB! Your university may have a Campus License. You can find out more here: https://
spr.ly/6013fpErJ If you have other questions, please contact our team here: -
Meta Superintelligence Website Content Extraction Tutorial
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Have fun: curl -s https://www.meta[.]com/superintelligence/ | pandoc -f html -t markdown | grep -i "open"
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Security Literacy and Coding Skills for Productive Discussions
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Yes, they're really good at that – but you still need to have a decent level of both coding and security literacy in order to productively participate in that kind of conversation so it's not a silver bullet
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Cipher: Coding Agent Tool Supporting Multiple IDEs and Platforms
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Cipher is built for coding agents. It works with Cursor, Windsurf, Claude Desktop, Claude Code, Gemini CLI, AWS Kiro, VS Code, Roo Code (via MCP), and even agents like Kimi K2. GitHub Repo: https://
github.com/campfirein/cip
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… Don't forgot star the Repo! -
Gemini CLI analyzes project structure with Cipher MCP tool
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Here’s how it works: I ask Gemini CLI to analyze my project structure.
— Sumanth (@Sumanth_077) 30 juillet 2025
It connects to Cipher MCP tool, maps the structure, detects patterns, and saves them locally.
This context is now reusable across Claude Code, Cursor, or any other connected coding agent. pic.twitter.com/wmsVgHQGDwHere’s how it works: I ask Gemini CLI to analyze my project structure. It connects to Cipher MCP tool, maps the structure, detects patterns, and saves them locally. This context is now reusable across Claude Code, Cursor, or any other connected coding agent.
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Add Cipher as MCP Server for Agent Memory
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Next, let’s add Cipher as an MCP server so agents can discover it automatically • Update "settings.json" if you are using Gemini CLI
• If you’re using Claude Code, add the same config to .mcp.json Now your coding agents can connect to Cipher locally and have long‑term memory -

Installing Cipher and Setting Up Your Environment
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First let's install Cipher and set up your environment: • Install globally: npm install -g @byterover/cipher
• Add .env with your provider (we’ll use Ollama for local embeddings, but OpenAI/Gemini also work)
• Create memAgent/cipher.yml to define your model + system prompt -
Cipher: Open-Source Memory Layer for Coding Agents
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We’ll use Cipher, an open‑source memory layer for coding agents. You can run Cipher as an MCP server so coding agents like Claude Code, Gemini CLI, or plugins for VS Code, Cursor, and Windsurf can connect directly and use its memory layer out of the box
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Building Persistent Memory for Coding Agents Between Sessions
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Coding agents have a major limitation: they forget everything between sessions. Without memory, they can’t retain project context, past fixes, or key decisions. What they need is a persistent memory layer to store and recall context. Let’s see how to set that up.