Desktop AI Assistant powered by GPT-6, GPT-5, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Memory service, SDK, CLI, and plugins for agent recall and writeback.
A code repository indexing tool to supercharge your LLM experience.
Build resilient agents.
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
Your entire engineering context, deeply understood
A structural code search engine for Al agents.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A lightweight, lightning-fast, in-process vector database
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Prismer Cloud
Build autonomous AI agents in Python.
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
Learn AI and LLMs from scratch using free resources
The Developer's Guide to AI - A Field Guide for the Working Developer
From Java Dev to AI Engineer: Spring AI Fast Track
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
Universal memory runtime for AI agents
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
Multi-agent systems, memory, planning, reasoning loops
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.