A local-first AI agents toolkit for Node.js and the browser, providing composable Agent, Task, and semantic memory modules, compatible with local inference backends like Ollama/Llama.cpp, emphasizing explicit control and declarative definitions.
A bilingual unified LLM SDK supporting seamless switching between GPT, Claude, and Gemini models, offering zero-code multi-model integration, standardized tool calling, fine-grained tracing, and built-in Web UI debugging tools.
Ultra-lightweight fully autonomous AI agent infrastructure with 678 KB single binary, supporting 22+ AI providers and 17+ communication channels.
An open-source framework for large language model evaluations from the UK AI Safety Institute, featuring a modular Datasets/Solvers/Scorers architecture, multi-model/tool support, sandboxed execution, and 100+ pre-built benchmarks.
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.
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.
A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
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.
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.
A unified LLM access SDK by Mozilla AI connecting to 30+ cloud and local models via a single interface. Supports OpenAI format I/O without needing a proxy server.
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