Projects sharing features with Openclaw Zero Token

OpenClawChineseTranslation is a framework for building conversational assistants that functions as a cross-platform chat gateway. It synchronizes conversational data between multiple external messaging applications and a centralized core, allowing users to interact with an assistant across different platforms. The system utilizes a plugin-based extension architecture to integrate external services such as note-taking and password managers. It features a model-agnostic provider interface, which enables the underlying intelligence to be swapped by selecting different large language model provid

FastDeploy is a high-performance deployment framework for large language models, vision models, and multimodal models. It provides the infrastructure to launch model services that process combined image, video, and text inputs, exposing these capabilities through a standardized, OpenAI-compatible API for chat and text completions. The project distinguishes itself through advanced inference pipeline engineering and GPU optimization. It employs speculative decoding, tensor parallelism, and a disaggregated execution model that separates prefill and decode phases across different hardware resourc

OpenJarvis is a local-first personal AI assistant and agent framework. It runs language models on a user's own laptop, workstation, or server, keeps agent memory and state on the device, and treats cloud services as optional extras. Agents reason over multiple steps, call tools, search documents, and can run on demand, on a cron schedule, or continuously in the background. Core functionality stays available offline. A unified inference layer connects local runtimes and optional cloud providers behind one interface. It detects the installed GPU vendor, model, and memory, then recommends a suit

ollama-js is a JavaScript client library and API wrapper that provides a programmatic interface for interacting with and managing large language models. It enables the execution of models in both local and cloud-based environments, facilitating the generation of conversational text and the management of model lifecycles. The project distinguishes itself by offering specialized tools for model administration, including the ability to download, create, and remove models, as well as the capacity to define custom model blueprints and prompt templates. It also provides a vector embedding client fo

OmniRoute is a self-hosted AI gateway that puts one OpenAI-compatible endpoint and key in front of many chat, media, search, and local-model providers. It translates each request into the chosen provider's native format and maps the reply back. It is built to serve coding assistants and command-line agents, and it can configure them to send their model traffic through the gateway. It also catalogs free and keyless model tiers and uses them before falling back to paid capacity. Routing and failover are central. Models can be chained into ordered combos with strategies such as priority, round-r

LocalAI is a local generative AI platform and inference engine designed to host large language, vision, and audio models on private hardware. It functions as an API compatible gateway that mimics proprietary service endpoints, allowing existing third-party software to integrate with a self-hosted backend. The platform distinguishes itself as a distributed AI model orchestrator, capable of scaling inference across machine clusters using VRAM-aware routing and hardware coordination. It provides a unified interface for diverse open-source backends and supports self-hosted RAG infrastructure thro

Agentic is a tool marketplace and management platform designed for the Model Context Protocol. It provides a gateway and proxy that enables the discovery, publishing, and distribution of vetted tools for agentic AI frameworks. The platform specializes in Model Context Protocol monetization, allowing developers to transform services into paid products through integrated authentication, usage-based billing, and subscription management. It also includes a converter that transforms OpenAPI specifications into compatible protocol servers for use in AI workflows. The system covers a broad range of

Reef is a platform that lets AI agents keep improving from real usage. It serves live agent traffic through OpenAI- and Anthropic-style endpoints, records each interaction, and turns the resulting user feedback into better versions of the agent. Those versions are tested, versioned, and shipped again and again, without manual retraining cycles. Reef can improve an agent in two ways. It can evolve the agent's harness, meaning its prompts, rules, and skills, stored as a plain text-file tree. Candidate edits are tested on real tasks and the best-scoring ones are published as snapshots that clien

Experiential is an open-source LLM gateway and router. It exposes OpenAI-compatible and Anthropic-compatible APIs in front of hosted models, models reached with your own provider keys, and local models, all under one base URL and one bearer key. Existing OpenAI and Anthropic SDK clients, as well as coding agents, can be pointed at it by changing only the endpoint. The project states that usage carries zero markup. What sets it apart is that routing is learned from your own traffic. It captures traces from desktop coding agents and imports past activity from supported monitoring tools, databas

LLM Gateway is an open-source, self-hostable gateway that sits between applications and AI model providers. It accepts requests at a single OpenAI-compatible chat completions endpoint, so any SDK that allows a custom base URL can send traffic through it, and forwards each request to a suitable model from the connected providers. Each agent uses its own key, and a PostgreSQL database backs the service. What sets it apart is the routing and cost layer. It can score each request and send it to the cheapest model able to handle it, pick a model automatically when the model is set to auto, or appl

OmniRoute is a unified LLM API gateway that connects multiple AI providers to a single endpoint. Its primary purpose is to simplify the integration of various AI models into tools and agents by translating different provider formats into a standardized API. The project distinguishes itself through a multi-strategy request routing system that optimizes for cost, speed, and availability, including automatic model fallbacks and a circuit-breaker resilience model to isolate provider failures. It employs a local-first security posture, using AES-256-GCM encryption to store API keys and conversatio

Yao is an LLM agent framework and low-code web app builder designed for orchestrating autonomous AI agents. It provides a platform to design, deploy, and coordinate agents with specialized personas that can plan tasks, utilize external tools, and execute multi-stage pipelines. The project distinguishes itself through a Model Context Protocol server for connecting assistants to external binaries and HTTP services, and a gRPC remote execution engine that allows agents to manage remote servers and devices. It includes a model-agnostic provider bridge that supports dynamic switching between vario

gpt4free-ts is a TypeScript-based LLM API proxy and gateway that provides a unified interface for accessing large language models without paid subscriptions or official API keys. It functions as a containerized AI bridge that routes requests to various free third-party providers to retrieve chat completions. The project acts as an OpenAI API wrapper, translating requests and responses into the standard OpenAI chat completions format to ensure compatibility with existing AI tools. It utilizes a provider-based routing system to distribute request loads across available endpoints. The gateway s

OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution using directed acyclic graphs. It functions as a centralized system for managing specialized skill packages and executing complex reasoning sequences. The project distinguishes itself through a routing gateway that directs tasks to different AI providers based on complexity, cost, and performance. It utilizes a multi-tier AI memory system that organizes working, episodic, and semantic knowledge using local embeddings and SQLite, alongside a secure execution sandbox that isolat

This project is a terminal-based command line interface client and agent orchestrator for interacting with multiple large language model providers. It functions as an OpenAI API client and a local API gateway that exposes chat completions and embeddings through an HTTP server. The system distinguishes itself by providing a retrieval-augmented generation tool for indexing local files and URLs into a vector database to provide custom document context. It allows for the creation of specialized AI agents that combine custom system prompts with tool calling and external function execution. The to

InsForge is a backend-as-a-service platform that provides an integrated suite of tools for managing relational databases, identity provision, object storage, and serverless compute. It functions as an open-source identity provider and a PostgreSQL database manager featuring integrated vector storage and row-level security. The platform serves as an LLM orchestration gateway, offering a unified endpoint to route requests across various AI providers through an OpenAI-compatible interface. It enables AI-driven application generation and connects AI agents to backend resources using a standardize

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

QwenPaw is a framework for deploying personalized AI assistants and a multi-agent orchestration system. It enables the management of independent AI agents with specialized roles to solve complex tasks through coordinated communication. The system also serves as a local deployment tool for large language models and a gateway for integrating AI assistants with various messaging platforms. The framework is distinguished by an extensible plugin system that allows for the auto-loading of custom skills and functional modules. It features a reflective memory system that evolves the assistant's long-

Nanoclaw is an LLM agent orchestrator and multi-platform chat gateway designed to deploy and manage isolated AI agents. It provides a containerized runtime that executes agents within sandboxed Linux containers, ensuring filesystem and state isolation through dedicated workspaces and host bind-mounts. The project distinguishes itself through a unified routing pipeline that connects agents to diverse messaging platforms, including WhatsApp, Discord, Slack, Telegram, Signal, and iMessage. It integrates the Model Context Protocol to extend agent capabilities via managed external data and functio

Rakazo is a self-hosted, open-source platform of persistent AI bots. Each bot keeps its own conversations, memory, scheduled routines, and history, and can hand work to peer bots or short-lived helper agents. Bots get isolated shared or private computers with a browser, terminal, files, and a graphical desktop, and users can watch a bot's screen and take control of it when needed. The same bots are reachable from web, desktop, and mobile apps, and from messaging channels such as iMessage, Slack, Telegram, and WhatsApp. The model and the computer are both your choice. You can connect your own

This project is a Python software development kit and framework for building applications that integrate with large language models. It serves as a multimodal content generator and vector embedding library, enabling the production and editing of text, images, audio, and video. The toolkit provides specialized capabilities for adapting base models through supervised and reinforcement training. It further distinguishes itself by offering tools for orchestrating complex workflows, including stateful chat sessions, the enforcement of structured output via schemas, and the integration of external

Magpie is a local gateway for coding agents. It points tools such as Claude Code, Codex and Gemini CLI at models from any provider by writing each tool's own config file, so a user picks which model each agent runs on without editing configs by hand. The gateway translates between OpenAI Chat, OpenAI Responses, Anthropic Messages and Gemini formats while preserving streaming, tool calls and reasoning, so any client that accepts a base URL can reach any model. Several features set it apart. Existing subscriptions, such as Claude, ChatGPT or Copilot plans, can be exposed as providers for every

Sa-Token is a Java-based authentication and authorization framework designed to manage user sessions, permissions, and identity verification within web applications and microservice architectures. It provides a centralized security layer that enforces access control policies and identity validation across distributed service environments and API gateways. The framework distinguishes itself through its support for cross-domain single sign-on and its ability to function as an OAuth2 identity provider. It manages user session lifecycles by applying configurable rules for single or multi-login re

Strata is a native engine for running large language models directly on a personal Windows, Linux, or Mac computer, so chat and coding work happen offline without sending data to a cloud service. It loads compressed GGUF model files at several quantization levels, letting users trade memory use, speed, and answer quality against the hardware they have. Strata runs on NVIDIA, AMD, Intel Arc, and Apple Silicon graphics hardware, with a dedicated backend for each and support for multi-GPU and unified-memory systems. Models too large for available memory can be read from the SSD during inference,

PeerTube is a decentralized, open-source video hosting platform that enables users to operate independent, interoperable servers. By utilizing the ActivityPub protocol, it connects these servers into a global, federated network where users can follow channels, discover content, and interact across different instances. The platform is designed to function as a self-hosted video content management system, providing a community-driven alternative to centralized media services. What distinguishes PeerTube is its hybrid approach to content delivery and infrastructure management. It integrates peer

CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools

JMComic-Crawler-Python is a high-performance asynchronous web scraper and API client designed to programmatically retrieve images and metadata from a comic hosting service. It functions as a media archiving tool for batch downloading albums and chapters, automating the process of saving content to a local filesystem. The project is distinguished by its ability to reverse server-side pixel obfuscation, using a decryption tool to reconstruct sliced and shuffled images. To maintain stable connectivity, it utilizes a network bypass utility featuring dynamic domain rotation and proxy routing to ci