MCP server for anyscale integration
MCP server for anyscale integration
Infrastructure code to manage the R&D AWS account. Published as an npm package consumed by service repos.
A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, Fireworks AI, Google Gemini, Goose AI, Groq, Hugging Face, Mistral AI, Perplexity, Reka A
An MCP server that bridges the gap between your applications and various LLM providers
OpenAI Chat Completions provider for agex-ts. Lowers NeutralTurn[] to OpenAI messages; streams via SSE; baseUrl-friendly for OpenAI-compatible local servers (ollama, vLLM, LM Studio, OpenRouter, Together, etc.).
Astra Assistants API - drop in replacement for OpenAI Assistants, powered by AstraDB
Fine-tuning orchestration for OrkaJS - dataset validation, API orchestration, and model versioning
Backend provider adapters for AI Matey - Universal AI Adapter System
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
A comprehensive, unified interface for all types of AI models - natural language, vision, audio, and video. Supports 51 providers with dynamic model discovery and multi-modal capabilities.
MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
Cloud fine-tune APIs (OpenAI, Anthropic, Together, Fireworks, Anyscale, Bedrock, Vertex AI) + dataset pipelines for the Brainwires Agent Framework. Local LoRA/QLoRA/DoRA fine-tuning and training-from-scratch live in the sibling `rullama` workspace (`rullama-finetune`, `rullama-training`).
A dead-simple AI-powered CLI tool for effortlessly crafting meaningful Git commit messages.
Adaptive prompting techniques, K-means task clustering, and temperature optimization for the Brainwires Agent Framework
Speech (TTS / STT) provider clients for the Brainwires Agent Framework — Azure Speech, Cartesia, Deepgram, ElevenLabs, Fish Audio, Google TTS, Murf, plus browser-native `web_speech` (wasm32)
Codebase indexing + hybrid retrieval (vector + BM25) for the Brainwires Agent Framework. Includes AST-aware chunking via tree-sitter (12 languages), Git history search, and reranking via spectral diversity / cross-encoder.
Built-in concrete tools for the Brainwires Agent Framework — bash, file_ops, git, web, search, code_exec, semantic_search, browser, email, calendar, system. Built on `brainwires-tool-runtime`.
Tool execution runtime for the Brainwires Agent Framework — executor trait, registry, error taxonomy, sanitization, validation, transactions, smart router, plus optional orchestrator / OAuth / OpenAPI / sandbox / sessions / RAG-tool-search modules
OpenAI integration for Vein - shared memory system for AI agents and tools
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