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A lightweight security layer that filters the inputs and outputs of LLM and agent applications — prompt injection, jailbreaks, leakage, secrets, PII and unsafe actions.

Local contextual, hybrid, and agentic RAG for PDF documents

Production-grade autonomous AI agent platform optimized for Google Cloud Run, Neon pgvector, and Gemini/Cloudflare

AI model: prithivMLmods/Orion-9B-Agentic-CodeCore-Merge-GGUF

RAG and agentic AI security auditor: prompt injection, context poisoning, data exfiltration

Modular runtime for AI agents in Python — agents, providers, tools and a small, readable core.

Async-first, LangGraph-style SDK for building agent workflows with pluggable agent and LLM backends.