Tools tagged with "Agent Skills"

llmwiki-cli gives AI agents a local Markdown wiki for building and maintaining a personal knowledge base. It's for people who want an agent to organize their information while keeping the wiki files on their own machine.

Halo is a desktop AI workstation for people who want agents to write code, manage files and handle recurring work through a visual interface. You can switch between Claude Code and Codex within the same app.

ZeroToken is a local browser automation server for people using AI agents to repeat web tasks such as collecting reports, logging into sites or testing browser workflows. It turns recorded actions into scripts so later runs don't need an LLM to reason through every step again.

Kelivo is an LLM chat client for people who want local and cloud models in one app while keeping conversation history on their device. It connects to Ollama, self-hosted OpenAI-compatible services and providers including OpenAI, Gemini, Claude, DeepSeek and OpenRouter.

Vercel AI SDK is a free TypeScript library for developers building apps and agents that use local models through Ollama or LM Studio. It runs within your application; those backends run the models. Its default model route uses Vercel AI Gateway, which sends requests to a cloud service, while the documented local integrations connect to your own model server.

PanGuard AI checks skills and MCP servers for threats before AI agents load them, then watches their actions at runtime. It's for developers and teams who want protection against prompt injection, poisoned tools and malicious skills.

TokensBurned tracks AI coding activity for developers who want usage statistics on their GitHub profile. Its client processes records locally, but the profile cards depend on a hosted service that receives aggregate data.

Zengram gives AI agents a shared memory across sessions and machines. It's for people using multiple assistants who want a discovery recorded by one agent to be available to the others.

Dive is a desktop AI agent for people who want a language model to work with files, shell commands and connected tools. It supports models with function calling and acts as a host for Model Context Protocol (MCP) servers.

Blades is an AI agent framework for Go developers building conversational applications and automated workflows. It lets developers combine model connections, application tools and conversation memory within their own software.

AIGNE DocSmith is a locally run AI documentation generator for developers and teams turning project material into guides and reference documents. The Node.js app stores its workspace and generated files locally, but generation requires Anthropic or another LLM provider configuration. Requests to a remote provider send project context to that service; local installation doesn't mean offline inference.

Forge is a terminal coding assistant that works on files in your own development environment while sending model requests to a configured provider, including OpenAI or Anthropic. It's for developers who want an agent to make code changes and run commands within their existing projects.

Multi-Agent Shogun runs and coordinates separate AI coding assistants on your computer or a Linux server. It's for developers dividing implementation and research across parallel tasks. Coordination happens locally, but Claude Code’s standard cloud connection sends prompts and model outputs over the network to their model provider; other agents use their chosen CLI's model access and authentication.

OpenCrust is a self-hosted AI assistant platform for people who want agents to handle tasks through their messaging apps. Named agents can pass work to one another and retain conversation memory between sessions.

OpenBitFun is a desktop AI agent workspace for coding and other tasks that use files and shell commands on your machine or a selected SSH host. It runs on Windows, macOS and Linux. Model requests go to the configured provider; built-in cloud connections send them to external services, and custom providers are also supported.

NVIDIA NeMo Data Designer is a Python framework for developers and data teams creating synthetic datasets with controlled variation and relationships between fields. It can start with an empty dataset or build on your own seed data. The framework is open source under Apache 2.0.

Phone Harness connects an AI agent to a real iPhone or Android to carry out tasks through app screens. It's for developers who want phone automation without relying on an app API.

AI Infra Guard is a self-hosted AI security testing platform for developers and security teams checking agent workflows, model responses and AI infrastructure. It combines vulnerability scans and adversarial prompt tests in a web interface.

Selene is a desktop AI agent app for coding, browser tasks and personal assistants. You can choose local or cloud processing separately for chat, embeddings, voice and image generation.

Memorix keeps project memory for AI coding agents across chats and switches between tools. It's for developers who want decisions, fixes and unfinished work to remain available to the next session.

aionrs is a command-line AI agent for developers who want an assistant to work on local projects. It can carry out coding tasks across multiple steps using a model provider you choose.

txtai is a Python framework for developers building search, chat with their data, and AI agents on their own hardware. It combines a searchable knowledge store with model workflows, so applications can retrieve context and act on it.

Pi Subagents is an extension for developers who want to divide coding work among specialized AI agents in pi. Agents run in separate sessions, so you can assign distinct roles and follow their progress individually.

NoteGen is an AI note-taking app for collecting research, meeting material and ideas before organizing them into finished documents. Notes remain ordinary Markdown files, with attachments stored on your device by default.

Qdrant is a vector database for developers building semantic search, retrieval-augmented generation (RAG), recommendations and AI agent memory. It stores embeddings with metadata so applications can find similar items within a relevant subset of their data.

OpenShell is a self-hosted runtime for teams that need autonomous AI agents to work with files and APIs under explicit access limits. It runs agents in isolated sandboxes and enforces policies at the kernel level.

OpenRig coordinates coding agents for developers working on projects that last weeks or months. You talk to a lead agent, which delegates to specialists and brings back results or decisions that need your attention.

Emdash is a desktop development environment for developers who want to delegate several coding tasks at once. It keeps each task's branch, terminal, conversation, and review state together so parallel work stays separate.

MEX keeps project knowledge alongside code so engineers and their AI coding agents can share context across teammates and sessions. Architecture, requirements and decisions live in readable Markdown that travels with the repository through Git.

Archon is a workflow engine for developers who want AI coding agents to follow a defined development process. It coordinates work across projects, with repeatable stages for planning, implementation, checks and review.

Ruflo is an AI agent framework for developers who want Claude Code and Codex to work as coordinated teams. It adds specialist roles and shared context for projects that involve coding, testing, architecture and documentation.

Clodds is an AI trading terminal for traders who want to research markets and place trades through conversation. It runs on your own machine or server, with a browser interface and messaging connections including Telegram, Discord and Slack.

GitAgent is an AI agent framework for developers who want to version an agent's behavior and saved memory alongside its tools. Agent definitions live in a Git repository, where teams can review changes, fork agents and maintain different behaviors on separate branches.

Code Buddy is a terminal AI coding agent for developers who want it to read a repository, make changes and run commands on their machine. It supports local models through Ollama as well as cloud providers.