AI · alternatives · 2026
24 alternatives to PIC Standard: AI Action Firewall
Open standard for Provenance & Intent Contracts (PIC) in AI agents. Verify intent, provenance, and evidence before high-impact tool calls. - pic-standard/pic-standard
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
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…
Mar 2026 · github.com · its alternatives →
- 2
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…
2025 · picaos.com · its alternatives →
- 3
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,…
Mar 2026 · github.com · its alternatives →
- 4
Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
2025 · github.com · its alternatives →
- 5
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:…
Feb 2026 · mnemom.ai · its alternatives →
- 6OS
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…
2025 · its alternatives →
- 7
Action library for AI Agent. Contribute to sheet0/npi development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 8
Security firewall for AI agents. Cloudflare for MCP.
Feb 2026 · agent-wall.github.io · its alternatives →
- 9
- 10
Hi HN, I wrote a book on the Model Context Protocol (MCP) – the open standard from Anthropic that lets AI agents connect to external tools and data sources. I'm an RPA/automation practitioner (CEO of Niuexa, LinkedIn Learning instructor) and I noticed there was no comprehensive resource covering MCP architecture, security patterns, and enterprise deployment strategy. So I wrote one. The book covers: - MCP architecture deep dive (servers, clients, hosts, transport layers) - 20-point security checklist for MCP deployments - EU AI Act compliance for agentic systems - Real-world breach…
Nov 2025 · blueprint-mcp.railsblueprint.com · its alternatives →
- 11
Project AI agents from unsafe actions before they execute.
Aug 2026 · agentfirewall.launchreadyal.com · its alternatives →
- 12
Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them
2025 · twitter.com · its alternatives →
- 13
Kaval▲19Verify what your AI agent believes before it takes action
Jul 2026 · usekaval.com · its alternatives →
- 14
As AI agents autonomously write and deploy code, there's no standard for verifying that what they shipped actually satisfies business requirements. OQP is an attempt to define that standard. It's MCP-compatible and defines four core endpoints: - GET /capabilities — what can this agent verify? - GET /context/workflows — what are the business rules for this workflow? - POST /verification/execute — run a verification workflow - POST /verification/assess-risk — what is the risk of this change? The analogy we keep coming back to: what OpenAPI did for REST APIs,…
Apr 2026 · github.com · its alternatives →
- 15
The Composable Standard for AI-Driven Innovation
2025 · openexus.com · its alternatives →
- 16LO
Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026 · its alternatives →
- 17
Cryptographic proof that your AI agent actually did the work
Aug 2026 · github.com · its alternatives →
- 18
Background: I've been working on agentic guardrails because agents act in expensive/terrible ways and something needs to be able to say "Maybe don't do that" to the agents, but guardrails are almost impossible to enforce with the current way things are built. Context: We keep running into so many problems/limitations today with MCP. It was created so that agents have context on how to act in the world, it wasn't designed to become THE standard rails for agentic behavior. We keep tacking things on to it trying to improve it, but it needs to die a SOAP death so REST can rise in it's…
Mar 2026 · github.com · its alternatives →
- 19
ask an agent to buy something, and it hits a wall. Why?
Mar 2026 · github.com · its alternatives →
- 20
Decision firewall for AI code reviews and PR merges
Mar 2026 · github.com · its alternatives →
- 21
Deterministic offline release evidence for AI agents
Jul 2026 · iisacc-justmoong.github.io · its alternatives →
- 22
Cryptographic accountability for AI agents
Jul 2026 · mcp.itechsmart.dev · its alternatives →
- 23
Was it done by AI or Human?
Apr 2026 · agenticprovenanceprotocol.com · its alternatives →
- 24
Software makes commitments all of the time. "I won't transfer more than $500," "I'll only access these three APIs," "I won't modify production data." But there is truly no way to verify it actually kept those commitments after the fact. All you do is just trust the logs and which the software itself wrote. I built Nobulex to fix this. It is open-source middleware that does three things: 1. Lets you define behavioral rules in a simple DSL (permit, forbid, require) 2. Intercepts all actions at runtime and blocks anything that will violate the rules 3. Logs everything in a hash-chained audit…
Mar 2026 · github.com · its alternatives →
Also compare
- ProofShot – Give AI coding agents eyes to verify the UI they build alternatives
- Pica – Rust-based agentic AI infrastructure (open-source) alternatives
- Open-source browser for AI agents alternatives
- Agents.json – OpenAPI Specification for LLMs alternatives
- Trust Protocols for Anthropic/OpenAI/Gemini alternatives
- Open-Source MCP Server for Context and AI Tools alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →