Search results for "amd"
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. ππ» Integrates with 50+ LLM Providers,
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
An easy to use GUI-based tool that performs live translations using OCR and LLMs (Either cloud or local only)
Open-source sandboxes for code execution, browser use, and AI agents.
Autonomous Agents (LLMs) research papers. Updated Daily.
A high-throughput and memory-efficient inference and serving engine for LLMs
A 30-day public U.S. stock challenge: follow a 5000 HKD π¦ claw through live market days.
SmarterRouter: An intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI. Features semantic caching, model profiling, and automatic failover for local AI labs.
MaverickMCP - Personal Stock Analysis MCP Server
High-performance zero-dependency L4/L7 load balancer written in Go. Single binary with Web UI, clustering, MCP/AI integration. 8.5K RPS, 39 E2E tests.
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Lightweight semantic code search engine β 2-stage vector + FTS + RRF fusion + MCP server for Claude Code
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Local AI anywhere, for everyone β LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
Compiler truth in, AI context out. Open semantic glue between language intelligence and AI tools.
π§ Enhance Claude AI context retention by optimizing prompt efficiency and enabling seamless session handoff for consistent memory across interactions
π€ Develop enterprise AI agents with integrated tools for chat, video, image editing, and secure multi-tenant workflows.
Extract tables precisely from PDFs and convert them to clean HTML for RAG pipelines, running fast on CPU without external dependencies.
π Enable local LLMs with real-time Google search, live feeds, OCR, and video insights using noapi-google-search-mcp server tools.
βοΈ Define and compile AI coding rules, commands, and templates into workflows that work across multiple editors and agents.
Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.
π€ Provide 70+ ready-to-use, platform-agnostic AI agent skills for improving tasks like code review, security, and data analysis.
π Enable AI-driven network security scanning with a production-ready Nmap MCP server supporting diverse tools, scan types, and timing templates.
π§ Enable AI coding agents to adopt product management skills and build user-focused software efficiently.
Provide a unified context intelligence layer for AI agents with seamless integration and full capability in a single Python package.
Enable AI agents to retain memory across sessions using persistent storage designed for continuous context retention.
Build and run local AI agents with multi-model support, modular skills, secure controls, and multi-channel access for personal automation tasks.
Implement Recursive Language Models using Deno and Pyodide to enable scalable, code-driven prompt processing with modular sub-agent calls.
Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.
Control autonomous AI agents by enforcing behavior rules to prevent unauthorized actions, improve focus, and boost execution efficiency.
Provide a JSON-RPC 2.0 server that enables Claude Code access via stdio or WebSocket without requiring an API key or extra authentication.
π¬ Provide unofficial API access and documentation for Seedance 2.0 to enable video generation with ByteDanceβs model.
Define and control AI agents in markdown with full prompt transparency, persistent memory, and integrated tools via the Claude Agent SDK.
ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).
