io.github.getaegis/aegis
Credential isolation for AI agents. Inject secrets at the network boundary.
Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.
Own this server? Screen its description →
AEGIS_MASTER_KEYMaster encryption key for the credential vault
AEGIS_SALTHex-encoded 32-byte salt for key derivation (generated by aegis init)
AEGIS_DATA_DIRDirectory for vault databases and registry (default: .aegis/)
AEGIS_PORTGate proxy port (default: 3100)
AEGIS_LOG_LEVELLog verbosity: debug, info, warn, error (default: info)
AEGIS_LOG_FORMATLog output format: json or pretty (default: json)
AEGIS_VAULTNamed vault to use (default: default)
AEGIS_REQUIRE_AGENT_AUTHRequire agent authentication on every request (true/false, default: false)
AEGIS_POLICY_MODEPolicy enforcement mode: enforce, dry-run, or off (default: enforce)
AEGIS_POLICIES_DIRDirectory containing YAML policy files
AEGIS_METRICSEnable Prometheus metrics endpoint (true/false, default: true)
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
Feature flagging and A/B testing platform with AI-first experimentation workflows.
Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.