Acacian/aegis

v0.1.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Security & Auth

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agent-security ai-agent-security ai-agents ai-governance ai-safety ai-security

+14 more

audit-trail compliance guardrails langchain llm-security mcp mcp-security model-context-protocol pii-detection policy-as-code policy-engine policy-testing prompt-injection selection-governance

Summary

AI summary

Introduces a policy engine with YAML rules, five adapters, and an SQLite audit log.

Full changelog

Aegis v0.1.0

Open-source policy & approval runtime for AI agents acting on systems you don't own.

Install

pip install agent-aegis

What's included

Policy engine — YAML rules with glob matching, 4 risk levels, 3 approval modes
5 adapters — Playwright, LangChain, CrewAI, OpenAI Agents SDK, Anthropic Claude
Approval handlers — CLI interactive, auto-approve, callback-based
SQLite audit log — full action lifecycle tracking
Runtime pipeline — plan → approve → execute → verify → audit
CLI tools — aegis validate, aegis audit
Documentation — https://acacian.github.io/aegis/

Quick start

from aegis import Action, Policy, Runtime

runtime = Runtime(
    executor=PlaywrightExecutor(),
    policy=Policy.from_yaml("policy.yaml"),
)
plan = runtime.plan([
    Action("read", target="salesforce", params={"selector": ".contacts"}),
])
results = await runtime.execute(plan)

See the README for full documentation.

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About Acacian/aegis

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging. Cross-platform: LangChain, OpenAI, Anthropic, MCP.

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