LLM 模型排行

This open-source repository offers reference code for integrating workplace datastores with Cohere's LLMs, enabling developers and businesses to perform seamless retrieval-augmented generation (RAG) on their own data.

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

A Ghidra script that enables the analysis of selected functions and instructions using Large Language Models (LLMs). It aims to make reverse-engineering more efficient by using Ollama's API directly within Ghidra.

面向外贸与 B2B 场景的 AI 客户挖掘系统，基于 FastAPI、LangGraph 和 React，实现公司理解、关键词生成、网页搜索、线 索提取与联系方式发现AI-powered B2B lead hunting system built with FastAPI, LangGraph, and React for automated company research, keyword generation, web search, lead extraction, and contact discovery.

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

daily notes

Download models from the Ollama library, without Ollama

Create keyboard shortcuts for an LLM using OpenAI GPT, Ollama, HuggingFace with Automator on macOS.

A simple to use Ollama autocompletion engine with options exposed and streaming functionality

From Java Dev to AI Engineer: Spring AI Fast Track

autoupdate paper list

Automatically generate engaging AI podcasts from nothing but an episode title.

OpenClaw skill for scraping any URL using the Decodo Web Scraping API.

Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.

Zero-overhead, terminal-native local-LLM runtime manager. Launches, supervises, and routes local models behind one OpenAI-compatible endpoint.

JavaScript implementation of LiteLLM.

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