Sentinely
Runtime security for AI agents. 3 lines integration.
What it does
Most AI agent security tools filter inputs before they reach the model. Sentinely works inside the pipeline, scoring every action before it executes. It detects prompt injection, tracks each agent's behavioral baseline and flags drift, quarantines suspicious memory writes, and catches multi-agent manipulation. Every action is logged with a full audit trail for SOC2 and EU AI Act compliance. 3-line integration. Works with LangChain, CrewAI, OpenAI, and Vercel AI SDK.
Does the same job
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Sentinel Gateway: AI Agent SecurityApr 2026 · ▲1Solution to AI Agent prompt injection and hijacking attacks
- LTLocal task classifier and dispatcher on RTX 3080Feb 2026 · github.com · ▲26
Hi HN, I am shubham a 3d artist who learned coding in college as an I.T. graduate know logics but not an expert as i just wanna try my hands on to ai So i built Resilient Workflow Sentinel this is offline ai agent which classify urgency (Low,Medium and HIgh) and dispatches to the candidates based on availability Well i want an offline system like a person can trust with its sensitive data to stay completely locally Did use ai to code for speeding and cutting labor. Its works on RTX 3080 system (this is an basic affordable setup not heavy ai machinery) which i want it to make it reliable…
Sentinel AgentOSJun 2026 · github.com · ▲2Guard+Memory+Eval—reliable, auditable, self-improving Agents
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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