Hmbown/aleph
Skill + MCP server to turn your agent into an RLM. Load context, iterate with search/code/think tools, converge on answers.
This tool helps developers efficiently work with large codebases, extensive logs, or long documents using a language model. It acts as a persistent memory and computation server, allowing the language model to perform iterative tasks like searching, code execution, and data analysis without being limited by its context window. Developers can feed in codebases, log files, or documents, and receive concise, derived answers after the tool processes the information and reasons over it.
175 stars.
Use this if you are a software developer, data scientist, or operations engineer who needs to use a language model to analyze large projects, extensive log files, or lengthy documents iteratively without repeatedly feeding raw content into the model's limited context.
Not ideal if your primary need is simple, single-turn interactions with a language model that don't require iterative reasoning or processing of very large datasets.
Stars
175
Forks
19
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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