Acacian/aegis
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
Appears on
Quick read
Latest capture 2026-09-21 10:54
16 paths
Agent instructions and tool configuration found in this repository.
Agent instructions
Agent workspace 9
Claude Code 3
Cursor
Devin 2
1 observed capture since 2026-09-21. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.
Claude Code Dedicated Development Harness - Achieving High-Quality Development Through an Autonomous Plan→Work→Review Cycle
The linter for your agent harness. Works with Claude Code, Codex, and Cursor.
Deterministic safety solutions for probabilistic AI agents
Your agent's favorite harness, built on Pydantic AI
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.