Acacian/aegis

v0.1.1 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

Policy conditions now support time windows, weekday schedules, param thresholds, regex matching.

Full changelog

What's New

Policy Conditions 🎯

Rules now support conditional logic beyond glob matching:

Time windows: time_after: "18:00" — block writes after hours
Weekday schedules: weekdays: [1, 2, 3, 4, 5] — restrict to business days
Param thresholds: param_gt: { count: 100 } — escalate bulk operations
Regex matching: param_matches: { email: "@corp\\.com$" } — match patterns

httpx/REST API Adapter

HttpxExecutor maps action types (get, post, put, delete) to HTTP methods
Install: pip install 'agent-aegis[httpx]'

Python Logging Audit Backend

LoggingAuditLogger — structured JSON to Python logging
Risk levels map to log levels (LOW→DEBUG, CRITICAL→ERROR)
Drop-in replacement for SQLite AuditLogger

JSONL Audit Export

aegis audit --format jsonl -o audit.jsonl
AuditLogger.export_jsonl() API

Policy JSON Schema

aegis schema CLI command
policy.schema.json for editor auto-complete

Quality of Life

Runtime async with context manager
run_one() convenience for single-action governance
90 tests (up from 45)

Full Changelog: https://github.com/Acacian/aegis/compare/v0.1.0...v0.1.1

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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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