io.github.getaegis/aegis
编码与调试by getaegis
Credential isolation for AI agents. Inject secrets at the network boundary.
什么是 io.github.getaegis/aegis?
Credential isolation for AI agents. Inject secrets at the network boundary.
README
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.
<p align="center"> <img src="docs/assets/demo.gif" alt="Aegis demo" width="720" /> </p>How It Works
<p align="center"> <img src="docs/assets/how-it-works.svg" alt="How Aegis works — agent sends request through Gate, credentials injected at the network boundary" width="900" /> </p>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):
{
"mcpServers": {
"slack": {
"command": "node",
"args": ["slack-mcp-server"],
"env": { "SLACK_TOKEN": "xoxb-1234-real-token-here" }
}
}
}
After (Aegis — no key visible):
{
"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
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
常见问题
io.github.getaegis/aegis 是什么?
Credential isolation for AI agents. Inject secrets at the network boundary.
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