Ag

AgentLair – Give your AI agent an email identity and credential vault

Hacker News

AgentLair – Give your AI agent an email identity and credential vault

Supply chain attacks like the LiteLLM compromise exfiltrate every env var, SSH key, and API key from compromised machines. AgentLair Vault prevents this architecturally — credentials are never in the environment. I built AgentLair to give AI agents a real identity — not just an email address. AgentMail raised $6M to solve the email problem. They've done great work, and email IS the starting point. But an agent's identity is more than email: it's the credentials it carries and the namespace it operates in. What AgentLair is (all in one API): 1. Email — claim my-agent@agentlair.dev, send/receive, MCP-native. One curl call. No OAuth, no human in the loop. 2. Vault — encrypted credential storage. Your agent stores its own API keys at registration, fetches them at runtime. The server stores opaque blobs — you encrypt client-side with our SDK or your own scheme. 3. Pods — multi-tenant namespace isolation. Run multiple agents under one account; each pod only sees its own resources. Useful for SaaS products built on agents. Self-registration in one call: curl -X POST https://agentlair.dev/v1/auth/agent-register \ -H "Content-Type: application/json" \ -d '{"name": "my-research-agent"}' → { "api_key": "al_live_...", "email_address": "my-research-agent@agentlair.dev", "account_id": "..." } The agent gets an identity in a single call. No human in the loop anywhere. MCP server (npm): npx @agentlair/mcp@latest Works with Claude, Cursor, or any MCP-compatible client. 9 tools covering email and vault operations. Why this now: The MCP authentication story is broken. Perplexity's CTO left MCP over "authentication friction." VentureBeat: "When Agent A delegates to Agent B, no identity verification happens between them. A compromised agent inherits the trust of every agent it communicates with." A Cloud Security Alliance study (March 25, 2026) found that more than two-thirds of organizations cannot clearly distinguish AI agent from human actions — and 33% don't know how often their agent credentials are rotated. ( https://www.businesswire.com/news/home/20260324161665/en/ ) The protocol for tool access exists. The identity layer underneath it doesn't. AgentLair is that layer: persistent email address + credential vault + human-backed trust + micropayment hooks. AgentMail is email-only. 1Password announced credential management for agents (enterprise-only). We bundle email + vault + isolation with a free tier. x402 micropayment support and World ID identity verification are next on the roadmap. Where things are: Public beta. Pro plan is $5/stack/month for higher limits. Everything else is free tier. Free tier: 10 emails/day, 10 email addresses, 100 API requests/day. Try it: https://agentlair.dev Docs: https://agentlair.dev/getting-started MCP: npx @agentlair/mcp@latest vs. AgentMail: They do email well. We do email + vault + pod isolation. vs. 1Password: They do credentials for enterprises. We do $5/mo for indie devs.

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, model, apple
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started, compatible, organizations · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, saas · Missing: mrr, revenue, profit
35%35% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released
25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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