mem-agent: Equipping LLM Agents with Memory Using RL
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32
AI & ML interests
synthetic data generation, multi-agent networks
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Small sized agents from Dria trained on interacting with an obsidian-like memory system using python tools. Trained on Qwen3-4B-Thinking-2507.
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driaforall/mem-agent
Text Generation • 4B • Updated • 761 • 87 -
driaforall/mem-agent-mlx-bf16
Text Generation • 4B • Updated • 57 -
driaforall/mem-agent-mlx-8bit
Text Generation • 1B • Updated • 37 • 1 -
driaforall/mem-agent-mlx-4bit
Text Generation • 0.6B • Updated • 106 • 4
powerful agentic models built for pythonic function calling
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driaforall/Dria-Agent-a-3B
Text Generation • 3B • Updated • 15 • 51 -
driaforall/Dria-Agent-a-7B
Text Generation • 8B • Updated • 2 • 45 -
driaforall/pythonic-function-calling
Viewer • Updated • 81.8k • 143 • 27 -
driaforall/verifiable-pythonic-function-calling-lite
Viewer • Updated • 16.4k • 33 • 7
Small sized agents from Dria trained on interacting with an obsidian-like memory system using python tools. Trained on Qwen3-4B-Thinking-2507.
-
driaforall/mem-agent
Text Generation • 4B • Updated • 761 • 87 -
driaforall/mem-agent-mlx-bf16
Text Generation • 4B • Updated • 57 -
driaforall/mem-agent-mlx-8bit
Text Generation • 1B • Updated • 37 • 1 -
driaforall/mem-agent-mlx-4bit
Text Generation • 0.6B • Updated • 106 • 4
fast and powerful agentic models designed to run on edge devices.
powerful agentic models built for pythonic function calling
-
driaforall/Dria-Agent-a-3B
Text Generation • 3B • Updated • 15 • 51 -
driaforall/Dria-Agent-a-7B
Text Generation • 8B • Updated • 2 • 45 -
driaforall/pythonic-function-calling
Viewer • Updated • 81.8k • 143 • 27 -
driaforall/verifiable-pythonic-function-calling-lite
Viewer • Updated • 16.4k • 33 • 7