anthropic

Use multiple LLM backends in a single crate, simple builder-based configuration, and built-in prompt chaining & templating.

Multi-Model Chat — Compare responses from multiple AI models side by side in real-time. Supports GPT, Claude, Mistral, and local models (Ollama). Built with React, TypeScript, and Tailwind CSS.

AZMX AI — The sovereign agent platform.

Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.

A multimodal chat interface with many tools.

🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.

Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development review using → test AI large language models. Capable of autonomously handling medium to large-scale engineering projects.

Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks

Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory

Claude Code Prompt Mechanism Visualizer — Electron desktop app

Privacy-first LLM proxy and AI gateway - load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts.

Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, Maritaca AI, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).

A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.

A general-purpose Python framework for building LLM agents and multi-agent systems. "Four lines of code, an agent with memory."

One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (connect any MCP server), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.

大师.skill — 输入行业，自动调研 6 轨[行业大佬 / 工具地图 / 工作流 / 知识正典 / 信息源 / 术语标准] → 提炼为可运行的行业 Master OS skill；装到任意 Claude Code / OpenClaw / Codex / Hermes agent 即让其进入「这一行的资深人」模式。MIT，Python + Shell。

Finish-First Autonomous Agent Loop for Claude Opus 4.7 – 2026 Edition

Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadashy)

🦑 Unified Swift SDK for LLM inference across local and cloud providers

Make Opus 4.8 (or any Claude model) work like Claude Fable 5 — a Claude Code skill + guard hooks (plan gate, model ceiling, per-task enforcement) for Fable-5-grade discipline: plan, self-verify, and route sub-agents, without Fable 5.