PIC Standard: AI Action Firewall

What it does

Open protocol that forces AI agents to prove their intent and back every important action with verifiable evidence, before anything dangerous happens. Quick benefits: - Stops prompt-injection disasters and hallucinations from turning into real money losses or data leaks - Works locally: no sending sensitive data to the cloud - Plugs right into LangGraph or your existing agent stack in minutes - MCP ready - Free & open-source (Apache 2.0): audit it, fork it, own it

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  ProofShot – Give AI coding agents eyes to verify the UI they buildMar 2026 · github.com · ▲161

  I use AI agents to build UI features daily. The thing that kept annoying me: the agent writes code but never sees what it actually looks like in the browser. It can’t tell if the layout is broken or if the console is throwing errors. So I built a CLI that lets the agent open a browser, interact with the page, record what happens, and collect any errors. Then it bundles everything — video, screenshots, logs — into a self-contained HTML file I can review in seconds. proofshot start --run "npm run dev" --port 3000 # agent navigates, clicks, takes screenshots proofshot stop It works with…

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  Pica – Rust-based agentic AI infrastructure (open-source)2025 · picaos.com · ▲63

  Hi HN, Founder here. We built Pica, an open-source platform in Rust to enable agentic AI with three main focus areas: - Access to APIs and tools: Universal SDKs that let AI agents use thousands of external actions without blowing up your context window. - Visibility and traceability: Full audit logs of every decision/action to ensure transparency and accountability. - Alignment with human intentions: Seamless guardrails for autonomous tasks; e.g., restricting certain email actions to human approval. Why this matters: As autonomy in AI grows, we need robust solutions for trust and…

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  Open-source browser for AI agentsMar 2026 · github.com · ▲155

  Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…

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  Trust Protocols for Anthropic/OpenAI/GeminiFeb 2026 · mnemom.ai · ▲40

  Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…

• OS
  Open-Source MCP Server for Context and AI Tools2025 · ▲43

  Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

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  An Open Source project for enhancing AI Agents in taking action2024 · github.com · ▲47

  Action library for AI Agent. Contribute to sheet0/npi development by creating an account on GitHub.

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