Build Production-Grade AI Systems
Unified Python ecosystem for RAG, AI agents, memory, and security — built for developers who need to ship reliable LLM applications from prototype to production.
Three libraries. One coherent platform.
Each Fennec library is designed to work independently or together — pick what you need, skip what you don't.
Fennec Community
Core framework for building advanced LLM applications including RAG systems, AI agents, orchestration pipelines, retrieval workflows, and modular AI architectures.
Read documentationFennec Memory
Memory management system for long-term conversational memory, contextual persistence, semantic recall, and intelligent memory workflows in AI systems.
Read documentationFennec Guard
Security and protection layer for AI systems including prompt injection detection, input validation, safety filtering, and secure LLM interactions.
Read documentationWorks with the tools you already use
Plug-and-play support for the leading LLM providers, embedding models, and vector stores.
LLM Providers
Embeddings
Vector Databases
Ready to build with Fennec?
Explore the documentation, browse the source, and start shipping AI features that actually work.