Aegis

Stop putting API keys where AI agents can read them.

Aegis is a local-first credential isolation proxy for AI agents. It sits between your agent and the APIs it calls — injecting secrets at the network boundary so the agent never sees, stores, or transmits real credentials.

Aegis demo

How It Works

How Aegis works — agent sends request through Gate, credentials injected at the network boundary

Why?

AI agents (Claude, GPT, Cursor, custom bots) increasingly call real APIs — Slack, GitHub, Stripe, databases. The current pattern is dangerous:

Agents see raw API keys — one prompt injection exfiltrates them
No domain guard — a compromised agent can send your Slack token to evil.com
No audit trail — you can't see what an agent did with your credentials
No access control — every agent can use every credential

Aegis solves all four. Your agent makes HTTP calls through a local proxy. Aegis handles authentication, enforces domain restrictions, and logs everything.

Quick Start

bash

# Install
npm install -g @getaegis/cli

# Initialize (stores master key in OS keychain by default)
aegis init

# Add a credential
aegis vault add \
  --name slack-bot \
  --service slack \
  --secret "xoxb-your-token-here" \
  --domains slack.com

# Start the proxy
aegis gate --no-agent-auth

# Test it — Aegis injects the token, forwards to Slack, logs the request
# X-Target-Host tells Gate which upstream server to forward to (optional if credential has one domain)
curl http://localhost:3100/slack/api/auth.test \
  -H "X-Target-Host: slack.com"

Production Setup (with agent auth)

bash

# Create an agent identity
aegis agent add --name "my-agent"
# Save the printed token — it's shown once only

# Grant it access to specific credentials
aegis agent grant --agent "my-agent" --credential "slack-bot"

# Start Gate (agent auth is on by default)
aegis gate

# Agent must include its token
curl http://localhost:3100/slack/api/auth.test \
  -H "X-Target-Host: slack.com" \
  -H "X-Aegis-Agent: aegis_a1b2c3d4..."

MCP Integration

Aegis is a first-class MCP server. Any MCP-compatible AI agent can use it natively — no HTTP calls needed.

Before (plaintext key in config):

config.json

{
  "mcpServers": {
    "slack": {
      "command": "node",
      "args": ["slack-mcp-server"],
      "env": { "SLACK_TOKEN": "xoxb-1234-real-token-here" }
    }
  }
}

After (Aegis — no key visible):

config.json

{
  "mcpServers": {
    "aegis": {
      "command": "npx",
      "args": ["-y", "@getaegis/cli", "mcp", "serve"]
    }
  }
}

Generate the config for your AI host:

bash

aegis mcp config claude   # Claude Desktop
aegis mcp config cursor   # Cursor
aegis mcp config vscode   # VS Code
aegis mcp config cline    # Cline
aegis mcp config windsurf # Windsurf

The MCP server exposes three tools:

Tool	Description
`aegis_proxy_request`	Make an authenticated API call (provide service + path, Aegis injects credentials)
`aegis_list_services`	List available services (names only, never secrets)
`aegis_health`	Check Aegis status

The MCP server replicates the full Gate security pipeline: domain guard, agent auth, body inspection, rate limiting, audit logging.

Setup Guides

Claude Desktop
Cursor
VS Code
Windsurf
Cline
OpenClaw — personal AI assistant (HTTP proxy + skill)

Features

Feature	Description
Encrypted Vault	AES-256-GCM encrypted credential storage with PBKDF2 key derivation
HTTP Proxy (Gate)	Transparent credential injection — agent hits `localhost:3100/{service}/path`
Domain Guard	Every outbound request checked against credential allowlists. No bypass
Audit Ledger	Every request (allowed and blocked) logged with full context
Agent Identity	Per-agent tokens, credential scoping, and rate limits
Policy Engine	Declarative YAML policies — method, path, rate-limit, time-of-day restrictions
Body Inspector	Outbound request bodies scanned for credential-like patterns
MCP Server	Native Model Context Protocol for Claude, Cursor, VS Code, Windsurf, Cline
Web Dashboard	Real-time monitoring UI with WebSocket live feed
Prometheus Metrics	`/_aegis/metrics` endpoint for Grafana dashboards
Webhook Alerts	HMAC-signed notifications for blocked requests, expiring credentials
RBAC	Admin, operator, viewer roles with 16 granular permissions
Multi-Vault	Separate vaults for dev/staging/prod with isolated encryption keys
Shamir's Secret Sharing	M-of-N key splitting for team master key management
Cross-Platform Key Storage	OS keychain by default (macOS, Windows, Linux) with file fallback
TLS Support	Optional HTTPS on Gate with cert/key configuration
Configuration File	`aegis.config.yaml` with env var overrides and CLI flag overrides

Example Integrations

Step-by-step guides with config files and policies included:

Slack Bot — Protect your Slack bot token with domain-restricted proxy access
GitHub Integration — Secure GitHub PAT with per-agent grants and read-only policies
Stripe Backend — Isolate Stripe API keys with body inspection and rate limiting
OpenClaw Skill — Aegis skill for OpenClaw personal AI assistant

Security

Published STRIDE threat model — 28 threats analysed, 0 critical/high unmitigated findings
Full security architecture documentation (trust boundaries, crypto pipeline, data flow)
AES-256-GCM + ChaCha20-Poly1305 encryption at rest
Domain guard enforced on every request — no bypass
Agent tokens stored as SHA-256 hashes — cannot be recovered, only regenerated
Request body inspection for credential pattern detection
Open source (Apache 2.0) — read the code

How Aegis Compares

	`.env` files	Vault/Doppler	Infisical	Aegis
Agent sees raw key	Yes	Yes (after fetch)	Yes (after fetch)	No — never
Domain restrictions	No	No	No	Yes
MCP-native	No	No	Adding	Yes
Local-first	Yes	No	No	Yes
Setup	10 sec	30+ min	15+ min	~2 min

See full comparison for detailed breakdowns against each approach.

Documentation

Document	Description
Usage Guide	Full reference: CLI commands, configuration, RBAC, policies, webhooks, troubleshooting
Security Architecture	Trust boundaries, crypto pipeline, data flow diagrams
Threat Model	STRIDE analysis — 28 threats, mitigations, residual risks
Comparison	Detailed comparison with .env, Vault, Doppler, Infisical
FAQ	Common questions and objections
Roadmap	Feature roadmap
Contributing	Code style, PR process, architecture overview

Install

bash

# npm
npm install -g @getaegis/cli

# Homebrew
brew tap getaegis/aegis && brew install aegis

# Docker
docker run ghcr.io/getaegis/aegis --help

Requires Node.js ≥ 20 — check with node -v

Development

bash

git clone https://github.com/getaegis/aegis.git
cd aegis
yarn install
yarn build
yarn test

See CONTRIBUTING.md for code style, PR process, and architecture overview.

License

Apache 2.0