Alternatives
Products that do what AI Agents Archive does
Hours of agent work, unlocked for a fraction of the cost.
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Hey HN! Today we're launching Agent Vault - an open source HTTP credential proxy and vault for AI agents. Repo is at https://github.com/Infisical/agent-vault, and there's an in-depth description at https://infisical.com/blog/agent-vault-the-open-source-crede.... We built Agent Vault in response to a question that been plaguing the industry: How do we give agents secure access to services without them reading any secrets? Most teams building agents have run into this exact problem: They build an agent or agentic system and come to realize at some point…
Apr 2026 · github.com
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Deep Work Plan▲114Models matter. Context matters more. Give your agent a plan.
Jun 2026 · deepworkplan.com
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Just watched this video by ThePrimeagen (https://www.youtube.com/watch?v=efwDZw7l2Nk) about attackers jailbreaking Claude to run cyber attacks. The core issue: AI agents need isolation. We built ERA to fix this – local microVM-based sandboxing for AI-generated code with hardware-level security. Think containers, but safer. Such attacks wouldn't touch your host if running in ERA. GitHub: https://github.com/BinSquare/ERA Quick start: https://github.com/BinSquare/ERA/tree/main/era-agent/tutoria... Would love your…
Nov 2025 · github.com
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The era of AI AGENTS is OVER. The era of AI WORKERS begins.
Jun 2026 · aiworkers.so
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Hey HN - I'm Mason, and I'm excited to share AgentCash - a CLI to help your agent discover and pay for premium APIs and paywalled data. The problem we kept running into was simple: if you want an agent to use premium data or services, the setup flow is awful. You have to find the right provider, sign up manually, subscribe, generate an API key, install tooling, and then teach your agent how to use it. Then do that again for the next provider. We wanted a simpler model: give the agent a universal balance, let it discover available resources, and let it pay per call. So AgentCash gives agents…
Mar 2026 · agentcash.dev
- 15KD
Every AI agent that does something useful - opening a PR, posting in Slack, updating a ticket - needs to call an API on behalf of a user. That means OAuth. Authorization flows, token storage, refresh logic, per-user credential isolation. Today, most teams solve this with a long-lived API key in an .env file, shared across every user and every session. As everyone in an organization becomes a software engineer - whether they know it or not - you can't expect each of them to roll their own OAuth. Secure credential handling needs to be baked into the infrastructure. The core issue: agents are a…
Mar 2026 · kontext.dev
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I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req/day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7/10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…
Mar 2026
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Hey HN, Most AI “agents” I’ve tried are basically chatbots with amnesia — they forget everything the moment you close the tab and can’t do anything unless you’re sitting there watching them. I wanted real AI coworkers that just… work. So I built Computer Agents (aiOS). Every agent you create gets its own isolated computer in the cloud — complete with persistent memory, a real file system, code execution environment (with automatic dependency management), and the ability to run scheduled or webhook-triggered tasks 24/7. You give it a goal (“research this market and email me a report…
Mar 2026 · computer-agents.com
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Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
2025 · okteto.com
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You run agents from your phone. Now read them there.
Jun 2026 · marknote.io
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