by bonigarcia · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
[WIP] Context engineering: the art and science of shaping context-aware AI systems
| Stars | 61 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 39.25/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-12 |
| Created | 2025-10-16 |
| Platforms | mcp, python |
| Est. Tokens | ~99k |
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context-engineering is [WIP] Context engineering: the art and science of shaping context-aware AI systems. It is categorized as a MCP Server with 61 GitHub stars.
context-engineering is primarily written in Python. It covers topics such as agent-skills, agentic-ai, context-engineering.
You can find installation instructions and usage details in the context-engineering GitHub repository at github.com/bonigarcia/context-engineering. The project has 61 stars and 11 forks, indicating an active community.
context-engineering is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to context-engineering on Agent Skills Hub include remind, oreilly-ai-agents, Context-Engineering-for-Multi-Agent-Systems. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.