Part of Agent OS - Kernel-level governance for AI agents
Context management for RAG systems.
CaaS provides stateless utilities for routing, prioritizing, and filtering context in retrieval-augmented generation (RAG) pipelines. It manages what information gets sent to the LLM, reducing token waste and improving response quality.
pip install caas-corefrom caas import DocumentStore, VirtualFileSystem
store = DocumentStore()
store.add_document({"content": "API auth uses JWT", "timestamp": "2025-01-15"})
vfs = VirtualFileSystem()
vfs.create_file("/project/main.py", "print('hello')", agent_id="agent-1")- Document storage with time-based prioritization
- Virtual File System for multi-agent collaboration
- Context routing to appropriate model tiers
- Stateless design with no framework dependencies
See CONTRIBUTING.md for development setup and guidelines.
MIT License — see LICENSE for details.