Agent-Aegis
The governance layer for AI agents. One API, 12 frameworks, every governance primitive.
Aegis is to agent governance what Redis is to data structures — one runtime that unifies prompt-injection blocking, PII masking, policy enforcement, trust delegation, and tamper-evident audit across every agent framework. No code changes.
pip install agent-aegis → aegis.auto_instrument() → 12 frameworks are now governed.
What is Aegis • Primitives • Frameworks • Use Cases • 30-Second Start • Research • Docs • Playground
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What is Aegis
Every AI agent framework reinvents the same governance primitives — and each one does it slightly differently. Aegis is the abstraction layer that unifies them.
| Layer | What it does | Examples |
|---|---|---|
| 1. Primitives | A universal contract for every tool call | Action, ActionClaim, Policy, Result, DelegationChain, AuditEvent |
| 2. Adapters | Auto-instrument any framework through its own hooks | LangChain callbacks, CrewAI BeforeToolCallHook, OpenAI Agents tracing, Google ADK BasePlugin, MCP transport, DSPy modules, httpx middleware, Playwright context |
| 3. Governance | Declarative primitives you compose into policy | Prompt injection / PII / leak / toxicity guardrails, RBAC, rate limit, cost budget, drift detection, anomaly scoring, trust delegation, justification gap, selection audit, Merkle audit chain |
| 4. Lifecycle | One runtime, every stage of agent ops | Scan → Instrument → Policy CI/CD → Runtime → Proxy → Audit |
