Ultra-lightweight fully autonomous AI agent infrastructure with 678 KB single binary, supporting 22+ AI providers and 17+ communication channels.

Model & Inference FrameworkRAGSDK

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On-device full-stack AI SDK for Flutter with LLM, Vision, Speech, Image Gen, and RAG; features compute budget contracts and adaptive QoS with zero cloud dependency.

大语言模型MultimodalSDK

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Open-source platform for testing LLM and agentic apps with AI-powered test generation, adversarial red-teaming, and 60+ evaluation metrics for RAG hallucination detection and conversation consistency verification.

Model & Inference Framework大语言模型SDK

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A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.

OtherSDK大语言模型

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An agent memory system with biomimetic architecture that enables AI to learn from experience via reflection, featuring multi-strategy retrieval and top performance on LongMemEval benchmark, released under MIT license.

Other大语言模型SDK

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An autonomous AI agent platform operating as a real Telegram user with native TON blockchain integration (wallet, DEX, NFT, DNS), featuring 100+ built-in tools, multi-provider LLM support, Hybrid RAG memory system, Plugin SDK, and MCP client extensibility.

Model & Inference Framework大语言模型SDK

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An open-source AI observability and evaluation platform providing OpenTelemetry-based distributed tracing, LLM-as-a-Judge evaluation, dataset versioning, and prompt optimization, designed for debugging and monitoring RAG and Agent applications.

Model & Inference FrameworkSDK大语言模型

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CLI tool that transforms Git repositories into prompt-friendly text digests for LLMs, featuring web access, browser extensions, Python SDK, and private repo support.

Model & Inference Framework大语言模型SDK

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An extremely fast and scalable memory engine and app for the AI era. The Memory API that serves as your AI second brain for saving and organizing everything that matters.

Agent & ToolingTypeScriptPython

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A comprehensive educational project using SpringAI framework that demonstrates and practices SSE streaming, Agent intelligent systems, knowledge graph RAG, FunctionCall, historical message processing, image generation and understanding, and Embedding technologies.

Docs, Tutorials & ResourcesJavaSpring Boot

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