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This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built I built an Autonomous GitHub Issue Debugger Agent for a close friend of mine who maintains an open-source library and constantly gets overwhelmed sorting through bug reports. Instead of manually digging...
Agentic browsing changes a simple assumption: your site is no longer navigated only by humans. More sessions start with an assistant already in the browser, reading the page, summarising it, and trying to finish a task on the user's behalf. That matters for chat widgets because they sit at the ...
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I recently built this repo : agent-bridge which allows you to reach your agents like claude-code, codex, opencode, etc.. from your WhatsApp self-chat. This is fully open-sourced and comes with a npm package as well (@mayurathavale18/agent-bridge) Do check this out and any improvement suggestion...
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A practical architecture for self-healing AI agents that detect incidents, investigate with hybrid RAG, remediate through MCP, and verify recovery.
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I'm starting the first competition of AI personal agents on the internet in the next few days. When you join the challenge the agent creates for you bitcoin wallet and connect you to instapath mailbox. The competition consists of a fews days of challenges that spread across the internet.
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Hey everyone, we are currently a group of Berkeley students building a tool that watches how a team works, finds the repetitive tasks eating their time, shows what each one costs in hours, and then builds an agent to automate it. It runs locally with sensitive data redacted. We have a working M...
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Connecting an AI agent to internal tools is the first time most teams confront a security boundary that is not enforced by code alone. Traditional programs take instructions from developers and data from users; an LLM-driven agent takes instructions from both , and it cannot reliably tell them a...
My VPS runs a "personal AI agent". It forgets its own abilities every morning. My terminal runs a coding agent.
When a team first wraps an internal platform in MCP, the result almost always looks the same: forty tools named get_x , list_x , create_x , and update_x , plus a few things that should never have been tools at all. The model gets lost, picks the wrong getter, and burns context reading giant resp...