TrendRadar
sansan0/TrendRadar
A news and trend monitor combining multi-source aggregation, AI analysis and notifications.
ToolAI.io · Kanal GitHub
Lacak repositori AI open source aktif dalam topik LLM, agen, MCP, RAG, dan coding, lengkap dengan jumlah bintang serta informasi proyek yang terverifikasi.
Data repositori publik
sansan0/TrendRadar
A news and trend monitor combining multi-source aggregation, AI analysis and notifications.
666ghj/MiroFish
Explore scenarios with interacting AI agents, knowledge graphs and generated reports.
jeecgboot/JeecgBoot
An enterprise low-code platform combining code generation, business workflows and AI features.
microsoft/graphrag
A graph-based text indexing and question-answering research project, now largely in maintenance mode.
Panniantong/Agent-Reach
A toolkit giving AI agents access to reading and search workflows across websites.
TauricResearch/TradingAgents
A multi-agent framework using language models to organize financial research workflows.
google/langextract
LLM-based structured extraction with source-text alignment and visualization for reviewable document processing.
berriai/litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
theopenco/llmgateway
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
taichuy/1flowbase
An open-source AI gateway that allows local agent clients to publish fusion-style multi-model workflows as OpenAI and Claude-compatible virtual models, providing full observability into traces, tokens, latency, and costs.
NVIDIA/TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way
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