by EncrEor · MCP Server · ★ 38
RLM - Infinite Memory for Claude Code Your Claude Code sessions forget everything after . RLM fixes that. Français 日本語 The Problem Claude Code has a context window limit. When it fills up: wipes your conversation history Previous decisions, insights, and context are lost You repeat yourself. Claude makes the same mistakes. Productivity drops. The Solution RLM is an MCP server that gives Claude Code persistent memory across sessions: 3 lines to install. 14 tools. Ze
| Stars | 38 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.9956162960755/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-25 |
| Created | 2026-01-18 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~18k |
These tools work well together with rlm-claude for enhanced workflows:
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rlm-claude is Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper. It is categorized as a MCP Server with 38 GitHub stars.
rlm-claude is primarily written in Python. It covers topics such as ai-tools, claude, claude-code.
You can find installation instructions and usage details in the rlm-claude GitHub repository at github.com/EncrEor/rlm-claude. The project has 38 stars and 9 forks, indicating an active community.
rlm-claude is released under the MIT license, making it free to use and modify according to the license terms.