Stars and mentions
Last 30 days, Oct 5 – Nov 3
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Across 2 known packages in repositories conorbronsdon owns. Cumulative totals include recorded downloads before the selected range. Missing observations leave gaps; totals may be incomplete.
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Mentions
@boardyai I have great news for you Boardy - we already did! conorbronsdon/chain-of-thought-podcast-mcp
📚 Learning resources and explainers to help anybody go from AI curious to expert: chainofthought.show 🛠️ Open-source tools I build and use every day, like avoid-ai-writing (now over 5k stars!) and my Substack MCP server: github.com/conorbronsdon
@MilkanaBrace @QodoAI @coralbricksdev Usually, I recommend git for solo devs. For a solo dev I built this: conorbronsdon/agent-context-os & Connected data lake for larger teams
Try out avoid-ai-writing for yourself with your favorite agent, or pick up any of 18 open issues and make your first contribution to the project: conorbronsdon/avoid-ai-writing Thank you for all the support, it is surreal
I mean no offense, but you may want to check out: conorbronsdon/avoid-ai-writing Yes, agent PR review consensus is a signal. The maintainer still needs to check that CI was clean (although my PR "review loops", if done my Claude Code or Codex, will do that), and review the changes in the PR.
trying a discoverability experiment: I've opened up all our @chain_ofthought episode transcripts as an MCP + github repo MCP setup: chainofthought.show Code: conorbronsdon/chain-of-thought-podcast-mcp Will be fascinating to see how this impacts AI ingestion + discoverability over time!
Search transcripts or episodes, get episode details, or pull an excerpt. Works with Claude, Cursor and ChatGPT where custom connectors are supported. Listed in the official MCP Registry and on Smithery. MIT licensed. Try it: conorbronsdon/chain-of-thought-podcast-mcp
Search transcripts and episodes, get episode details, or pull an excerpt. Works with Claude, Cursor and supported ChatGPT custom connectors. Listed in the official MCP Registry and on Smithery. MIT licensed. Try it: conorbronsdon/chain-of-thought-podcast-mcp
Your coding agents shouldn't each have their own version of you. Context OS: plain Markdown in one Git repo. Claude Code, Codex, OpenClaw and OpenCode read the same state, and every change goes through review. Use your context effectively across models: conorbronsdon/agent-context-os t.co
Context OS: a Git-backed context and workflow layer for coding agents. Identity, projects, decisions and handoffs in plain Markdown, shared across Claude Code, Codex, OpenClaw and OpenCode. Try it: conorbronsdon/agent-context-os