fikstt2/hh-ai-agent
hh.ru аи бот для откликов
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Task-focused AI systems and agent frameworks.
hh.ru аи бот для откликов
iPhone, iPad and CarPlay client for the Hermes AI agent or any OpenAI-compatible model. Talk or type, watch it work, approve what it runs. No account, no tracking.
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
A minimalist, terminal-native coding agent written in C.
The AI agent that always stays sharp. 200k+ tokens of work in a 64k context. Sandboxed for unattended overnight runs. Sub-10ms Go CLI, any model.
A Home Assistant custom component that provides an AI-powered agent capable of generating automations based on natural language queries. The agent connects to all entities in your Home Assistant instance and uses OpenAI's or Llama API to translate user requests into valid Home operations including creating automations for you!
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
剧本分镜智能体(PenShot):电影/动漫/短剧/小说→分镜片段→视频提示词。基于 LLM 通过 LangGraph+LlamaIndex实现任意格式剧本的自动解析,生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致,支持 MCP/REST API/Function Calls/A2A 集成。(LLM-powered text-to-video-prompt agent. Break scripts into Sora/Veo-ready shots with character consistency)
The Private Context Layer & Super Brain for Your Codebase. Give AI agents persistent memory, deep dependency graphs, and instant code context
The memory and context-management layer for production AI agents. 95.6% on LongMemEval, 93.2% on LoCoMo, with an open harness. Python + JS SDKs, 24 framework integrations, MCP server.
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