Credential Vault Proxy Built for AI Agents

What to build

A lightweight credential vault and proxy SDK/service for AI agent developers — a self-hosted open-source tool (with an optional hosted tier) that lets LangChain, AutoGen, n8n, and CrewAI agents authenticate to third-party APIs on behalf of users without ever touching raw secrets. Solo builders ship it as an npm/Python package plus a small proxy server.

Every developer building agentic workflows today is duct-taping API keys into environment variables or passing plaintext tokens directly to agents — a practice OWASP explicitly flags as a top LLM security risk. A purpose-built, agent-native credential vault fills a gap that HashiCorp Vault is too heavy to fill and that no major agentic framework has bothered to solve natively.

Demand

Developers shipping autonomous agents on LangChain, AutoGen, and n8n need this right now because agentic workflows are moving from demos to production, and security teams are pushing back on raw credential exposure. The window is open before AWS or HashiCorp ships an 'agents' mode for their existing vaults.

• Product Hunt — 1Password for AgentsMarket

  Product Hunt: 1Password for Agents. Let AI agents sign in for you without seeing your passwords — active discussion thread confirming real developer interest in agent-scoped credential delegation.

• OWASP LLM Top 10Regulatory

  OWASP's LLM application security guidance explicitly identifies insecure credential handling and over-permissioned agents as top risks, creating compliance-driven demand for a purpose-built credential scoping layer for AI agents.

• LangChain DocumentationTechnical

  LangChain's tool and agent integrations require developers to manually pass API keys and credentials as environment variables or plaintext strings, with no native secrets management layer — validating the gap.

• AutoGen GitHub RepositoryTechnical

  Microsoft's AutoGen does not include a built-in credential proxy or vault system, leaving authentication delegation entirely to individual implementers — a recurring friction point in the repository's issues and discussions.

• HashiCorp Vault Product PageMarket

  HashiCorp Vault is the dominant secrets management solution but is heavyweight, complex, and not designed for ephemeral per-agent authentication — confirming the adjacent paid market exists and developers are already spending on secrets management.

Stack

• FastAPI (Python proxy server)
• HashiCorp Vault OSS (backend secret store for self-hosted tier)
• Supabase (hosted tier: user management + credential metadata)
• LangChain Tools / AutoGen function-calling SDK (integration adapters)
• Docker + Railway (one-click self-hosted deploy)
• Stripe (hosted tier billing)

Solo + AI difficulty

The core proxy server and SDK wrappers for LangChain and AutoGen are achievable in 3-4 weeks with AI assistance — the hard parts are the security model (scoped, short-lived tokens per agent run) and earning developer trust enough to route secrets through your service. The self-hosted OSS path lowers the trust barrier significantly and is the right MVP starting point.

Entry threshold

Requires solid understanding of OAuth, token storage, and secrets management patterns, but no special licences or capital. A solo developer with AI assistance can build an MVP using existing open-source vault primitives and a thin proxy API in a few weeks.

Window

3-9 months

Where to find first users

• Post the OSS repo to Hacker News 'Show HN' — security + agentic AI is a reliable HN upvote combo
• r/LangChain, r/AutoGen, and r/devops — target threads where developers complain about credential handling in agents
• LangChain and AutoGen Discord/GitHub discussions — direct integration PRs or plugin listings get organic adoption
• Product Hunt launch timed alongside a blog post benchmarking agent credential security risks

Competitors

• 1Password
• HashiCorp Vault
• Infisical

Counter-signals & risks

• Established secrets management platforms like HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault could extend their offerings to support agentic workflows, crowding out a purpose-built niche solution.

• The market is highly fragmented across agentic frameworks (LangChain, AutoGen, CrewAI, n8n, etc.), making it difficult to build a universal credential proxy layer that gains broad adoption without significant integration maintenance overhead.

• Developer trust is a major barrier: teams may be reluctant to route sensitive credentials through a third-party hosted proxy service, limiting uptake of the paid tier and constraining revenue potential.