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Tags: LLM tools
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1–24 of 36 · Most stars

Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

  • a2a
  • a2a-mcp
  • a2a-protocol
  • a2a-server

A very simple framework for state-of-the-art Natural Language Processing (NLP)

  • pytorch
  • nlp
  • named-entity-recognition
  • sequence-labeling

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

TranslatedA multi-account gateway that turns Tencent WorkBuddy accounts into an OpenAI-compatible API, while automatically completing all tasks in the task center, with a web admin panel (account pool visualization / points tasks / hot config reload). An enhanced fork based on Sliverkiss/workbuddy2api

  • admin-panel
  • codebuddy
  • gateway
  • golang

The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion, tool calling, and local-network servers. Runs on your CPU, GPU, or NPU. No account, no API key, zero data leaves your device.

Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

A Go-based OpenCode Zen / Zen Go API proxy with OpenAI & Anthropic API compatibility, key/proxy pooling, automatic routing, and WebUI.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  • deep-learning
  • protein-sequences
  • protein-structure
  • semi-supervised-learning