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NVIDIA: Nemotron 3 Nano 30B A3B

nvidia

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.

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AgentLLM Model
1 dir

AegisAgent

stareing

Aegis Agent Framework is an engineering-grade AI agent runtime built on Python 3.11+ and pydantic v2. Designed with an "offline-first" and secure-isolation philosophy, it features rigorous architectural boundaries and a 5-slot context engineering model. With out-of-the-box support for 11 model adapters and native integration with MCP and A2A protoc

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Agentai
11 dir

Bullpen

Manavarya09

My AI engineering team for Claude Code — 64 named specialists I actually use every day. Atlas leads, Rune designs, Forge codes backend, Bastion guards security, Sage tells me to drink water. Deep agent prompts (anti-patterns + 2025 defaults + handoffs + checklists), per-role memory, ASCII activation cards. MIT.

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Agentdevtools
81 dir

Anthropic: Claude Sonnet 4.5

anthropic

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking. Sonnet 4.5 also introduces stronger agentic capabilities,

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AgentLLM Model
1 dir