nowfound

AI · March 14, 2026

AgentArmor – open-source 8-layer security framework for AI agents

I've been talking to founders building AI agents across fintech, devtools, and productivity – and almost none of them have any real security layer. Their agents read emails, call APIs, execute code, and write to databases with essentially no guardrails beyond "we trust the LLM." So I built AgentArmor: an open-source framework that wraps any agentic architecture with 8 independent security layers, each targeting a distinct attack surface in the agent's data flow. The 8 layers: L1 – Ingestion: prompt injection + jailbreak detection (20+ patterns, DAN, extraction attempts, Unicode…

AgentArmor – open-source 8-layer security framework for AI agents launched on March 14, 2026 with 10 votes, #1,177 of 23,380 launches that month and more than 90% of that year's launches.

Visit github.com ↗Alternativestop 5% of March 2026

In plain words

AgentArmor is an open-source security framework that adds eight independent protective layers to AI agents used in fintech, devtools, and productivity applications. It addresses the lack of guardrails in agents that read emails, call APIs, execute code, and write to databases by detecting prompt injections and jailbreaks at ingestion, encrypting stored data, separating instructions from context, scoring action risks, monitoring outputs, validating tool responses, managing agent permissions, and auditing all operations. The framework wraps any agentic architecture without requiring architectural changes.

written from the facts on this page · September 2026

From the sources

8-layer defense-in-depth security for agentic AI. Covers OWASP ASI Top 10 across ingestion, storage, context, planning, execution, output, inter-agent, and identity layers. - Agastya910/agentarmor

In the maker’s words, at launch

I've been talking to founders building AI agents across fintech, devtools, and productivity – and almost none of them have any real security layer. Their agents read emails, call APIs, execute code, and write to databases with essentially no guardrails beyond "we trust the LLM." So I built AgentArmor: an open-source…

Does a similar job

all alternatives →
  • AgentaNov 2025 · agenta.ai · ▲362

    Open-source prompt management & evals for AI teams

  • Open AgentsApr 2026 · open-agents.dev · ▲161

    OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.

  • PylarDec 2025 · pylar.ai · ▲502

    Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…

  • Agency – Unifying human, AI, and other computing systems, in Python2023 · github.com · ▲106

    Hello hackernews! I'm excited to share a new open source python library I just released for creating AI agent-integrated systems. The name is `agency`. It differs from other agent libraries, most importantly in that it's intended to address a distinct part of the overall problem, that of agent integration. It is not an agent toolchain like LangChain and others. `agency` is a framework intended for safely integrating agents with computing systems and humans in a way that all parties can easily understand and communicate with each other. I've spent a lot of time on the readme which contains a…

  • Open Agent Studio2024 · ▲254

    Build no-code agents to target markets untouched by AI

  • Open-source playground to red-team AI agents with exploits publishedMar 2026 · github.com · ▲30

    We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 17d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 17d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 19d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 20d ago · stillwet.art

  • A real-time world model you can explore and change

    AI · 29d ago · world.pixverse.video

  • Hemory▲381

    Keep listening. Searchable memory for your AI agents.

    AI · 29d ago · hemory.com

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, March 2026

the whole month →
  • AI-native CRM that builds itself and does work for you

    AI · Mar 2026 · lightfield.app

  • Tobira.ai▲728

    A network where AI agents find deals for their humans

    AI · Mar 2026 · tobira.ai

  • Switch from ChatGPT to Claude with import memory feature

    AI · Mar 2026 · claude.com

  • Littlebird remembers everything across your meetings, messages, docs, and apps, then takes action so you can recall any detail and never lose context.

    AI · Mar 2026 · littlebird.ai

  • Your AI Coworker that proactively executes tasks

    AI · Mar 2026 · viktor.com

  • Jupid▲659

    File your taxes with Claude Code

    Commerce · Mar 2026 · jupid.com