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.
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Latest capture 2026-09-21 10:54
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Agent instructions and tool configuration found in this repository.
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Agent workspace 9
Claude Code 3
Cursor
Devin 2
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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.
Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required.
The linter for your agent harness. Works with Claude Code, Codex, and Cursor.
Deterministic safety solutions for probabilistic AI agents
Claude Code Dedicated Development Harness - Achieving High-Quality Development Through an Autonomous Plan→Work→Review Cycle
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.