LLMs & Model Tooling
Model-layer infrastructure: training, fine-tuning, prompting and everything that wraps a large language model.
Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.
CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more.
Estimate whether a Hugging Face model fits and fine-tunes on your local GPU.
Token efficient Claude Code full Python rebuild. AI Coding Agent in 260K LoC pure Python. Up to 200X Cost Saving!
pi coding agent in a technicolor web trenchcoat
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Supercharge Claude Code with 11 AI agents, 36 commands & 15 skills — the claude-code plugin framework inspired by oh-my-zsh. 6-layer security hooks included. 5-min install.
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。
A curated, non-BS library of the best resources for building and evaluating AI agents — papers, blogs, talks, tools, benchmarks. Maintained by BenchFlow.
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Open-source engine behind AI app-builders — isolated dev sandboxes, a built-in coding agent, and live preview URLs. Self-host in one command.
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.
AI SRE AgenticOps for Kubernetes and cloud infrastructure.
LLMFlows - Simple, Explicit and Transparent LLM Apps
MCP server for JADX-AI Plugin
Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking
Learn any journal's writing conventions from its published papers, then revise your manuscript to match — section by section.
Local First Ai Agent. Optimized for Local Ai models. Long context window. Proper tools callings. Runs privately on your device.
A simple CLI to run LLM prompt and implement MCP client.
A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.
Shell and coding agent on mcp clients
Audit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap deploy. The orchestrator your compliance team will sign off on. https://bernstein.run
wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate autonomous multi-agent workflows, task execution, and artifacts.
Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
Real-time token, cost, and AI limits widget with multi-device sync for Claude Code, Codex, OpenCode, Hermes, OpenClaw, Cursor, Antigravity and more. | 为 AI Tools 打造的即时Token、成本与限额监控桌面组件，支持多设备同步