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Lightweight AI agent orchestration framework

Core models and schemas for LlamaDeploy

Application server components for LlamaDeploy

LlamaAgents x Bedrock AgentCore deployment utilities

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers major gains in agentic coding, front-end development, and overall reasoning, with a significantly improved “vibe coding” experience. The model excels at complex tasks such as 3D scenes, games, and repository-level problem solving, achieving a 78.8 score on SWE-bench Verifi

Deterministic Observability Framework — formal governance, privacy benchmarks, and adversarial testing for multi-agent LLM systems

Generic LLM/RAG platform framework

AI model: Sathman/Meditation-Agent-SmolLM3-3B-v2-GGUF

AI model: rajat0910/telecom-knowledge-agent-gguf

AI model: screenpipe/pipe-agent-v6-GGUF

AI model: agentscope-ai/CoPaw-Flash-9B

AI model: agentscope-ai/CoPaw-Flash-2B-Q4_K_M

AI model: JFernandoGRE/testing_mcprl

AI model: golf-mcp/golf-prompt-guard

AI model: yueqis/full_sft_mcp_10k-qwen-7b-30k-5e-5

AI model: yueqis/full_sft_mcp_1k-qwen-7b-30k-5e-5

AI model: yueqis/non_web_mcp-qwen3-8b-28k-5e-5

AI model: Dolphin42/Qwen2-VL-2B-SFT-MCPcoldstart-1012

AI model: pt-daniele/functiongemma-270m-it-azure-devops-mcp

WP-Hunter is a WordPress plugin/theme reconnaissance and static analysis (SAST) tool. It is designed for security researchers to evaluate the vulnerability probability of plugins by analyzing metadata, installation patterns, update histories, and performing deep Semgrep-powered source code analysis.