instructa/browser-echo
⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents
Language: TypeScript
#ai #browser #claude_code #codex_cli #cursor #gemini_cli #llm #log #logging
Stars: 193 Issues: 2 Forks: 7
https://github.com/instructa/browser-echo
⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents
Language: TypeScript
#ai #browser #claude_code #codex_cli #cursor #gemini_cli #llm #log #logging
Stars: 193 Issues: 2 Forks: 7
https://github.com/instructa/browser-echo
GitHub
GitHub - instructa/browser-echo: ⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents
⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents - instructa/browser-echo
❤2
Chen-zexi/vllm-cli
A command-line interface tool for serving LLM using vLLM.
Language: Python
#llm #llm_tools #vllm
Stars: 243 Issues: 1 Forks: 5
https://github.com/Chen-zexi/vllm-cli
A command-line interface tool for serving LLM using vLLM.
Language: Python
#llm #llm_tools #vllm
Stars: 243 Issues: 1 Forks: 5
https://github.com/Chen-zexi/vllm-cli
GitHub
GitHub - Chen-zexi/vllm-cli: A command-line interface tool for serving LLM using vLLM.
A command-line interface tool for serving LLM using vLLM. - Chen-zexi/vllm-cli
vakovalskii/sgr-deep-research
Schema-Guided Reasoning (SGR) is a technique that guides large language models (LLMs) to produce structured, clear, and predictable outputs by enforcing reasoning through predefined steps. By creating a specific schema (or structured template), you explicitly define:
Language: Python
#agent #llm #sgr #so #structured_output
Stars: 173 Issues: 0 Forks: 35
https://github.com/vakovalskii/sgr-deep-research
Schema-Guided Reasoning (SGR) is a technique that guides large language models (LLMs) to produce structured, clear, and predictable outputs by enforcing reasoning through predefined steps. By creating a specific schema (or structured template), you explicitly define:
Language: Python
#agent #llm #sgr #so #structured_output
Stars: 173 Issues: 0 Forks: 35
https://github.com/vakovalskii/sgr-deep-research
GitHub
GitHub - vamplabAI/sgr-deep-research: redmadrobot.ai | Hybrid Schema-Guided Reasoning (SGR) has agentic system design create by…
redmadrobot.ai | Hybrid Schema-Guided Reasoning (SGR) has agentic system design create by neuraldeep community - vamplabAI/sgr-deep-research
yassa9/qwen600
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Language: Cuda
#cuda #cuda_programming #gpu #llamacpp #llm #llm_inference #qwen #qwen3 #transformer
Stars: 287 Issues: 1 Forks: 17
https://github.com/yassa9/qwen600
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Language: Cuda
#cuda #cuda_programming #gpu #llamacpp #llm #llm_inference #qwen #qwen3 #transformer
Stars: 287 Issues: 1 Forks: 17
https://github.com/yassa9/qwen600
GitHub
GitHub - yassa9/qwen600: Static suckless single batch CUDA-only qwen3-0.6B mini inference engine
Static suckless single batch CUDA-only qwen3-0.6B mini inference engine - yassa9/qwen600
❤1
oxbshw/LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Language: Python
#ai #ai_agent #ai_agents #fine_tuning #finetuning_llms #freamework #llm #llmops #local_development #mcp_server #memory #rag #rag_chatbot #voice_agent
Stars: 198 Issues: 0 Forks: 29
https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
Language: Python
#ai #ai_agent #ai_agents #fine_tuning #finetuning_llms #freamework #llm #llmops #local_development #mcp_server #memory #rag #rag_chatbot #voice_agent
Stars: 198 Issues: 0 Forks: 29
https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook
GitHub
GitHub - oxbshw/LLM-Agents-Ecosystem-Handbook: One-stop handbook for building, deploying, and understanding LLM agents with 60+…
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools. - oxbshw/LLM-Agents-Ecosystem-Handbook
👍1
WooooDyy/AgentGym-RL
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.
Language: Python
#agent #llm #llm_based_agent #scaling
Stars: 255 Issues: 4 Forks: 21
https://github.com/WooooDyy/AgentGym-RL
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.
Language: Python
#agent #llm #llm_based_agent #scaling
Stars: 255 Issues: 4 Forks: 21
https://github.com/WooooDyy/AgentGym-RL
GitHub
GitHub - WooooDyy/AgentGym-RL: Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision…
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al. - WooooDy...
👀1