Tools tagged with "Agent Skills"

OKF Agent Memory gives AI coding agents persistent project knowledge across sessions. It's for developers who want agents to retain architectural decisions and project constraints without loading the entire knowledge base into every prompt.

Cezar manages AI coding agents on your computer or your own server. It's for developers coordinating work across repositories who want to review tasks, agent activity and code changes in one browser interface.

Lexora is a personal desktop AI agent for research, creative projects and everyday planning as well as coding. It works toward a goal while you give direction and review its work.

DSH AgentTeams coordinates AI agents inside DeepSeek Harness for coding, research and review tasks. A lead agent assigns work to specialists and combines their results, while you can review the proposed team before execution.

AutoRAG Agent searches documents and connected archives where they already live, then reads the relevant sources to produce answers with file, page or line references. It runs on macOS, Windows and Linux and suits people researching information spread across local files, messages and notes.

Gauntlet Loop is an AI agent skill for people who want generated websites, writing or software judged against a specific example. It writes a prompt that asks an agent to build, compare and revise work against a reference you choose.

AgentRQ lets people assign work to AI agents, follow their progress and answer requests for decisions from a browser, phone or desktop app. Agents run on computers you own; the task dashboard can run on your server or the hosted service.

OpenBrowser is a self-hosted browser automation agent for people who need visual judgment and interaction across web pages. Its server and Chrome extension run locally, but the documented Qwen setup sends model requests to DashScope's cloud API and requires an API key and internet access. Browser execution stays local; model processing uses the remote provider.

Ringer coordinates parallel AI coding agents on your machine. It's for developers who want to divide implementation work among workers and judge the results with executable checks.

bb-browser gives AI agents access to your local Chrome session, including the website accounts you're already signed into. It's for people building agents that need to work with authenticated websites without a separate API integration for each service.

SpecShip is a workflow extension for Kiro that coordinates AI agents through planning, implementation, review and pull request preparation. It's for developers who want agent work checked against written requirements and tests.

MemOS gives AI agents persistent memory across conversations and tasks. Developers can use it for assistants that recall preferences, support history or earlier work, with on-device, self-hosted and hosted storage options.

MemSearch gives coding assistants searchable project history across sessions. It's for developers who want to recover earlier fixes, revisit design decisions or continue work in another agent.

Pi Boomerang is an extension for developers using the Pi coding agent on long autonomous tasks. It reduces the history carried into later prompts by replacing completed work with a handoff summary, while keeping file changes on disk.

TrailSnap is a self-hosted AI photo album for people and families who want to organize their pictures and retrace past trips. It connects photos with places and travel records so you can find a particular memory or review a whole journey.

Hive coordinates AI agents for teams processing batches of leads, tickets, repositories or documents. A persistent lead agent, called a queen, develops a method on one item before assigning parallel workers, with human approval before the group starts.

MCP Gateway & Registry gives platform teams a shared catalog and access gateway for the tools their AI agents and coding assistants use. It addresses scattered server connections, credentials and access policies across an organization.

Tinybot is a desktop AI agent for people who want an assistant to work with their files and project folders. Workspaces keep related conversations together, and execution records let you inspect what the agent did and what it produced.

MLX VLM is a Python package for developers and researchers who want to run multimodal models on their own Mac. It supports local inference and fine-tuning through MLX.

OpenEnsemble is a self-hosted AI assistant platform for people who want shared access on their own server, with a separate workspace for each user. Linux is the main installation target; macOS supports local development with different feature support. You can choose a single assistant or an ensemble of specialist agents using different models. It's open source under AGPL-3.0.

dstack is a self-hosted AI compute orchestration tool for teams running development, training and inference across cloud providers and their own servers. It gives those workloads a shared interface across Kubernetes, VMs and bare-metal clusters.

webctl gives developers and AI agents command-line control of a browser for website tasks. It uses Chromium through Playwright and connects with coding assistants through skills and prompts.

BrowserSkill connects AI agents to your signed-in Chrome or Microsoft Edge profile for web tasks and website debugging. It's for people who want agents to work with existing accounts and developers investigating browser bugs.

Scarf gives people running the Hermes AI agent a native interface for conversations, project work and host management. It requires an existing Hermes installation; the iPhone companion, ScarfGo, connects directly to your hosts over SSH.

AgentScope is a Python framework for developers building AI agent applications on their own servers. It includes an SDK, a FastAPI backend and a web UI for applications with multiple users and separate sessions.

PenguinHarness builds runnable AI agent applications from plain-language requirements on your computer or server. It's for developers who want agents to handle app creation, evaluation, tuning and deployment.

LiteRT is Google's framework for developers adding machine learning and generative AI to apps that run on users' devices. It succeeds TensorFlow Lite and supports local inference without a server round trip.

MCP Toolbox for Databases connects coding assistants and AI agents to databases. It's for developers who want assistants to inspect data during development or use defined database actions in applications.

Deep Agents is an AI agent framework for developers building assistants that carry out multi-step work. It provides planning and task execution defaults that you can customize without forking the project.

II Agent is an AI agent for developers and teams who want an assistant to carry out research, build applications and handle documents. It can act through a browser, shell and files to complete tasks that need several steps.

SeekerClaw runs a personal AI agent on Android phones for people who want recurring tasks, device control and Solana wallet actions through Telegram or Discord. The agent stays active in the background and uses Claude, OpenAI, OpenRouter or an OpenAI-compatible gateway for its AI engine.

Tide Commander is a self-hosted workspace for developers coordinating several AI coding agents across projects. It brings agent conversations and project tools into a browser interface so you can assign work and inspect the results together.

Smart Second Brain is an Obsidian plugin for people who want to find and work with information across their notes. It connects search and a topic graph with an AI assistant that can use your vault as context.

Prime Agent is a local terminal coding and research agent for work that continues across sessions. It runs commands and edits files in your project directory, while a persistent Python environment keeps working state available. Its hosted subscription and API-key routes send model requests to the selected provider; local execution doesn't imply offline inference.