Tools tagged with "Tool calling"

Cheshire Cat is a Python framework for learners, researchers and creatives building custom AI assistants. It supports hands-on experiments through a web chat interface and an API. It isn't recommended for production use because it's unstable and may have breaking changes or incomplete features.

Frona is a self-hosted AI assistant for people who want agents to carry out tasks through chat with controlled access to files, networks and accounts. Agents can work independently or delegate parts of a task to other agents.

FastCtx is a local MCP runtime for coding agents working in code repositories. It gives agents structured results for routine file work without relying on shell commands for every read or search.

DocsGPT helps teams search company documents and build AI assistants that answer from those materials. It can run inside your network with local models, including an air-gapped deployment where documents and questions stay within that network.

Lollms WebUI is a local AI interface for writing, coding assistance and media generation through a choice of models. The project receives minimal maintenance, and its interface has no built-in user authentication.

YoMo is a self-hosted framework for developers building AI agents that call application tools. It supports distributing inference and tool execution across locations closer to an application's users.

doc.haus is a self-hosted legal AI agent for lawyers and firms reviewing or drafting contracts. It's a fork of OpenCode that edits Word documents through actual tracked changes, so reviewers can accept or reject each edit in Word.

next-wiki is a self-hosted wiki for people and teams who want AI-assisted knowledge management with a record of where information came from. It keeps original sources separate from AI-written material and reviewed pages, so an assistant's synthesis remains traceable to its evidence. It's open source under Apache 2.0 and runs as a browser app on your own Docker host with PostgreSQL.

Klaat Code is a terminal AI coding agent for developers who want an assistant to read code, make changes, and run commands in their projects. Its default model routing runs through hosted Klaatu, which receives your messages; file edits and shell commands happen on your machine.

PyGPT is a desktop AI assistant for people who want to chat with models, work with their documents and delegate tasks from one application. It supports local AI through Ollama alongside cloud providers.

MTPLX is a native Mac app, command-line tool and local LLM server for people running chat or coding models on Apple Silicon. It uses a model's own multi-token prediction heads to accelerate generation without a separate draft model.

Agently is a Python AI agent framework for developers building assistants and service backends with local Ollama models or hosted model APIs. It runs within your application, without requiring a separate orchestration service. Model requests go to the endpoint you choose, so using a remote provider sends the request data outside your machine.

LiteLLM is an AI gateway for platform teams managing model access across applications and providers. It puts cloud and self-hosted models behind a shared interface so developers can switch providers without rewriting their integration.

RSI Harness builds on the Pi coding agent for developers and researchers who want to version and share tailored agent setups. It collects each setup into a local directory bundle called a Genome.

Anything Analyzer is a desktop protocol analyzer for developers and security researchers investigating APIs, authentication and request signing. It brings browser and app traffic into one session for inspection and AI analysis.

Hunyuan-A13B is Tencent's language model for developers and researchers building self-hosted AI applications. It handles general text and reasoning tasks, with optimization for AI agent workloads.

Granite is IBM's family of AI models for developers and businesses building applications on their own hardware or servers. You can customize the models for enterprise tasks, including coding assistants and document analysis.

Dograh is an open source voice AI platform for teams building agents that answer or place phone calls. It's a self-hosted alternative to Vapi and Retell, with control over conversation flows and a choice of AI providers.

Waku Agent is a personal AI assistant that runs on your laptop, stores its memory locally and calls remote model providers. It's for developers who want to inspect and change the assistant's behavior in Python. The agent uses provider API credentials for reasoning; requests to cloud providers are processed by those services.

Xinference serves AI models on your own computer or servers for developers and researchers building applications around models they control. It brings chat, document search and media generation into one platform.

Voxta is an AI companion for people who want a character they can talk to, assign tasks to or use in interactive stories. You choose its personality, voice and optional avatar.

FastLLM is an open-source inference engine for people running large language models on their own machines or self-hosted servers. Its main draw is hardware flexibility: large mixture-of-experts (MoE) models can spread their weights across GPU memory, system RAM and disk when they don't fit entirely on a graphics card.

Kolega Code is a local-first AI coding assistant for developers working in the terminal or an editor. Its Gigacode engine lets a model write a Python workflow to coordinate sub-agents for repository reviews, migrations and tasks with independent workstreams. You can inspect and rerun those workflows, including parallel work and separate verification steps.

WritHer is a voice dictation app for people who want to write in Windows desktop apps and manage everyday tasks by speaking. It works offline after the initial model downloads, without an account.

Unity MCP connects AI assistants to the Unity Editor so game developers can ask an assistant to make changes directly in a project. It works with local LLMs and MCP clients including Claude, Codex, Cursor and VS Code.

Devon is an open-source AI coding agent that runs on your machine and works across files in a project. It's aimed mainly at Python developers who want help making code changes and investigating bugs, with the ability to redirect the agent while it works.

wllama lets developers add local LLM inference to browser apps without a separate inference server. It brings llama.cpp to JavaScript and TypeScript projects through WebAssembly, so models run on the user's device.

NeMo Guardrails is a Python toolkit for developers building AI assistants that need rules for what they say and which actions they take. It adds checks around conversations, document-based answers and tool use.

Paritok is a self-hosted gateway for developers whose coding agents send large file reads, tool output and conversation histories to an LLM. It reduces that input before the request reaches the upstream model.

Sidekick is a native macOS app for people who want AI answers grounded in their documents and research materials. Its built-in llama.cpp engine runs GGUF models such as Qwen3.5 without a separate model runner.

OwnPilot is a self-hosted AI assistant for people who want personal records and agents that can carry out tasks in one web interface. It supports local model backends as well as cloud providers.

Strix is an AI penetration testing tool for developers and security teams assessing code, web applications and APIs. Its free, open source edition runs locally with Docker under the Apache 2.0 license. It supports local models through Ollama or LM Studio, as well as remote providers such as OpenAI and Anthropic; cloud-backed runs send model requests to the selected provider.

PocketPal AI runs language models on phones and tablets for people who want an assistant they can use without sending conversations to a server. Core chat works offline after a model download and doesn't require an account.

Hatice is a self-hosted coding agent orchestrator for developers who want agents to work through issue-tracker tasks. It assigns issues to Claude Code agents and manages work across multiple turns.