Skip to main content
Glama

Aegis

Claude Code's sandbox lets an agent read your SSH keys and AWS credentials by default. Aegis doesn't.

Two layers, both verified on real hardware.

Kernel sandbox — the agent's own shell cannot reach a denied path:

$ ! cat ~/.ssh/id_rsa
cat: /Users/adarsh/.ssh/id_rsa: Operation not permitted

$ ! cat ~/.aws/credentials
cat: /Users/adarsh/.aws/credentials: Operation not permitted

$ tail ~/Library/Application\ Support/Aegis/denials.log
kernel denied file-read-data /Users/adarsh/.ssh/id_rsa to cat(pid 41560)
kernel denied file-read-data /Users/adarsh/.aws/credentials to cat(pid 42180)

MCP proxy — same tool, same file, with and without Aegis in front:

direct to the server:   allowed: TOKEN=proof-env-secret
through aegis proxy:    AEGIS DENIED: read_text_file
                        Reason: path matches deny rule '.env'
                        Rule: deny_paths

What it does

Sits between your AI coding agent and your machine:

  • Deny by default on every tool call

  • Kernel sandbox on subprocesses — cat .env can't bypass it

  • Tamper-evident audit log — hash-chained, integrity checked by aegis doctor, and checkpointed from outside the sandbox under a key the sandbox can't read or write

  • Outbound requests checked before they're made

  • Secrets never reach the MCP server

Related MCP server: SentinelGate

Install (macOS Apple Silicon)

New here? docs/getting-started.md is the step-by-step path, including the two questions that default to No.

python3 -m pip install aegis-mcp
aegis init      # detects Claude Code / Cursor, asks a few questions
aegis doctor    # proves the boundary is actually in place

Upgrading? Re-run aegis init. Your policy.json is yours and is never rewritten behind your back, so a new sandbox domain does not appear on its own — and without the OAuth token endpoint a sandboxed client stops working when its token expires. aegis init offers the new hosts; accepting is one keystroke.

Prefer an app? Download the .dmg

SHA256: bcccaa957fd3a0a15413eb1207a012f0328e309d078e7b7f2af853915e64c6dc

Unsigned build — right-click the app → Open the first time (macOS will warn about an unidentified developer, that's expected). Or build from source.

What it does NOT do

  • Does not stop prompt injection

  • Kernel escape defeats the sandbox

  • The audit database is still writable from inside the sandbox. Checkpoints make tampering with already-checkpointed history detectable — not impossible, and the newest rows aren't covered yet

  • A sandboxed client can't renew an expired login token — run it once outside the sandbox to refresh

  • The sandbox can still read your OAuth token from the Keychain

  • Tool results larger than 16 MiB are refused

  • No external security review, no certifications

  • Not audited by anyone but me — read the source, that's why it's MIT

Full threat model: THREAT-MODEL.md

License

MIT

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    F
    maintenance
    Governance kernel for AI agents — policy enforcement, code safety verification, multi-model hallucination detection (CMVK), trust attestation (IATP), and immutable audit trails. Works with Claude Desktop, Cursor, and any MCP client.
    74
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Open-source MCP proxy that enforces security policies, content scanning, and audit logging between AI agents and tool servers
    25
    AGPL 3.0
  • A
    license
    A
    quality
    A
    maintenance
    MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and CycloneDX 1.6 SBOM generation. Zero runtime dependencies.
    14
    9 npm
    15
    Apache 2.0