Aegis

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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.

How It Works

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

# 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)

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

After (Aegis — no key visible): ``json { "mcpServers": { "aegis": { "command": "npx", "args": ["-y", "@getaegis/cli", "mcp", "serve"] } } } ``

Generate the config for your AI host:

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

# 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

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

aegis