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agentic-search - RAG + agents in one Search your docs → AI agent answers + cites sources. Local-first. github.com/agentic-search…

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@singift_one @Rafiboy89 Connected bro, it’s a pleasure 🫡

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At the same time, AI “supply chain” risks are exploding: models from third‑party hubs, fine‑tuning datasets, plugins/MCP tools, and shared knowledge bases can all be poisoned or backdoored in ways that silently affect every agent that uses them. Research on model poisoning (e.g., PoisonGPT‑style work) shows you can embed backdoors or biased behaviors in models that normal benchmarks won’t detect, while articles on AI attacks stress that supply‑chain poisoning is far more dangerous than one‑off prompt injection because it compromises all downstream users of a model or tool. This is converging with classic OSS supply‑chain problems … where a single compromised package or build pipeline leads to mass compromise … but now the payload can be “slightly wrong” decisions at scale rather than obvious malware. kiteworks.com/cybersecurity-… uscsinstitute.org/cybersecurity-… blog.mithrilsecurity.io/attacks-on-ai-…

Agentic AI is rapidly becoming one of the top enterprise security concerns for 2026 because organizations are giving autonomous agents long‑lived API keys, broad SaaS access, and permission to act without humans in the loop. Each agent effectively becomes a non‑human identity that can touch CRMs, ticketing systems, cloud consoles, and internal databases, but most IAM and PAM programs were never designed to monitor or constrain thousands of such identities in real time. Analysts expect AI‑enabled automation to be embedded in over 65% of enterprise operations by 2026, while Gartner forecasts that autonomous agents will create more than 40% additional identity‑related attack vectors by 2027, mostly via over‑privileged access and weak governance around tools and connectors.

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openbrowser - Chromium fork for low-end devices 256MB RAM capable browser w/ adblock. IoT/old laptop savior. github.com/OpenBrowserAI/…

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