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.
Official Findings of EMNLP 2026 implementation of Corpus2Skill: compile a document corpus into a navigable skill hierarchy that LLM agents explore at query time, with document lookup instead of a serving-time vector-search service.
Memory service, SDK, CLI, and plugins for agent recall and writeback.
A code repository indexing tool to supercharge your LLM experience.
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
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
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
From Java Dev to AI Engineer: Spring AI Fast Track
Turn your local files into a Wiki for your agents. Open-source and local-first.
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.
Your First LLM-Wiki Conversation Knowledge Base
Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants
蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.