by jerpint · Agent Tool · ★ 89
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context-llemur 🐒 Stop re-explaining your context to every LLM. Every AI conversation starts from zero. Whether you're switching from Claude to Cursor, or from ChatGPT to a local LLM, you're constantly re-explaining your project context. solves this by giving you portable, version-controlled context that travels between ALL your AI tools. ctx Features MCP Server Integration: Full Model Context Protocol support Git-Based: It's just git under the hood CLI for Humans: Take over whenever you feel like it Portable: Use it with any LLM - no vendor lock-in, no assumptions Quickstart CLI MCP includes a full MCP server with tools that give AI agents persistent, version-controlled memory. Starting the MCP Server Claude Desktop Integration Add this to your : json { "mcpServers": { "context-llemur": { "command": "uv", "args": [ "run", "--directory", "/path/to/your/project/", "--with",
| Stars | 89 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.7706295895359/100 |
| Open Issues | 3 |
| Last Updated | 2025-08-19 |
| Created | 2025-07-01 |
| Platforms | python |
| Est. Tokens | ~13k |
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context-llemur is Context management tool for LLM collaboration. It is categorized as a Agent Tool with 89 GitHub stars.
context-llemur is primarily written in Python.
You can find installation instructions and usage details in the context-llemur GitHub repository at github.com/jerpint/context-llemur. The project has 89 stars and 3 forks, indicating an active community.
context-llemur is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to context-llemur on Agent Skills Hub include claude-skills-marketplace, tutor-skills, lenny-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.