Business · GitHub ·91 ★

deep-recall

Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-personalized responses through efficient context retrieval and integration.

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Details

Author
jkanalakis
Category
Business
Platform
GitHub
Framework
custom
Language
python
Stars
91
First indexed
2026-05-15
Last active
2025-05-03
Directory sync
2026-05-15
@jkanalakis

Overview

Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-personalized responses through efficient context retrieval and integration.

Quick start

git

git clone https://github.com/jkanalakis/deep-recall

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What deep-recall can do

frameworkhrinferenceragpersonal
  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Inference — inference task automation.
  • Rag — Retrieves grounded context before answering.
  • Personal — Remembers your preferences to assist over time.

Frequently asked questions

What is deep-recall?
Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-personalized responses through efficient context retrieval and integration.
How do I install deep-recall?
Use git: `git clone https://github.com/jkanalakis/deep-recall`. Full setup details on the source page linked above.
Is deep-recall open source?
deep-recall is published on GitHub.
What are alternatives to deep-recall?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for deep-recall is sourced from GitHub, published by jkanalakis.

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