Context-as-a-Service (CaaS) — Public Preview
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.
Installation
pip install agentmesh-context
Quick Start
from 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")
Features
- 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
Contributing
See CONTRIBUTING.md for development setup and guidelines.
License
MIT License — see LICENSE for details.
1 maintainer
Metadata
1 maintainer
Release files for agentmesh-context 3.7.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| agentmesh_context-3.7.0.tar.gz | 86.7 kB | Without provenance | Details for agentmesh_context-3.7.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| agentmesh_context-3.7.0-py3-none-any.whl | Python 3 | none | any | Details for agentmesh_context-3.7.0-py3-none-any.whl |
Total release size: 155.0 kB
Release files / agentmesh_context-3.7.0.tar.gz
| Download URL | agentmesh_context-3.7.0.tar.gz |
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| Size | 86.7 kB |
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Release files / agentmesh_context-3.7.0-py3-none-any.whl
| Download URL | agentmesh_context-3.7.0-py3-none-any.whl |
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| Size | 68.3 kB |
| Tags | Python 3 |
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