AI Agent Frameworks, MCP Servers and SDKs

SkyRL is a Python library for researchers and developers who want to train LLMs with reinforcement learning on their own hardware. Its Tinker API support lets you run existing Tinker training scripts against a server you control without changing the scripts. It's open source under Apache 2.0.

MaxKB is an AI agent platform for organizations building support bots, internal knowledge assistants and business automation. It combines answers based on company documents with workflows that can act through connected tools.

Wingman-AI is a self-hosted AI agent platform for developers and teams handling coding, research, operations or support tasks that need ongoing context. It coordinates agents with distinct roles and retains their sessions across clients.

PrivateGPT is a self-hosted API layer for developers building applications around local models. It requires a separate inference server, such as Ollama, llama.cpp, vLLM or LocalAI; it doesn't run models itself.

Webcmd is a browser automation tool for developers whose AI agents repeatedly work with the same websites. It keeps what agents learn locally so later tasks can use familiar workflows instead of inspecting each site from scratch.

taOS is a self-hosted AI agent platform for people who want to run assistants on their own computers and keep their conversations, files, and memory there. It brings agent management and local model access into a browser-based desktop.

Reticle lets AI coding agents check changes against a running web or desktop app. It's for developers who need to catch failed requests, duplicate submissions and application state that disagrees with what the screen shows.

Local Deep Research is a self-hosted AI research assistant for people investigating complex questions across web sources, academic papers and their own documents. It gathers evidence and writes reports with citations.

aichat is a terminal AI assistant for people who want to discuss files, generate shell commands and use model-powered tools from the command line. It connects to Ollama, OpenAI, Claude, Gemini and OpenAI-compatible API providers.

Arize Phoenix helps developers investigate failures in AI agents and LLM applications and compare proposed fixes. It connects recorded application activity with evaluations and repeatable experiments.

Apache Burr is a self-hosted Python framework for developers building AI agents, chatbots, and other applications with branching decisions. It models application logic as a state machine, so developers can see which action ran, what changed, and why execution took a particular path. Its library and monitoring UI run on your own infrastructure, and its open-source code uses the Apache 2.0 license.

AgentGUI gives researchers and developers a visual workspace for supervising long-running AI agents. Its pixel-art office represents tasks as desks, so you can follow several jobs and intervene while they run.

Pieces builds a searchable history of your work across apps for people who need to recover earlier decisions, find research or pick up an interrupted task. It runs in the background on your computer.

gptme is an AI agent for developers and people doing data analysis or other knowledge work in their own environment. It can act on files and use installed tools, with a choice of local models or cloud providers.

LLMux is a self-hosted AI gateway for developers who want to use local models and cloud providers through one interface while controlling where requests go. It blocks remote inference by default and logs permitted calls that leave the machine.

Onyx is an AI search and chat platform for teams with information scattered across workplace apps. It gives employees and AI agents answers grounded in company documents.

SuperClaude is a configuration framework for developers who want predefined workflows in Claude Code. It adds task-specific commands and specialist agents for planning software, writing code and reviewing the results.

Diariz is a self-hosted meeting transcription app for individuals and teams that want recordings and transcripts on their own server. It turns captured or uploaded audio into searchable meeting records.

arxiv-mcp-server gives AI assistants tools to find and study arXiv papers. It's for researchers who want an assistant to inspect specific sections and work with a locally stored paper library.

ACP Bridge lets teams and bots access coding agents running on a development machine or server through a shared HTTP API. It connects agents through the Agent Client Protocol (ACP), so callers don't need each agent installed on their own computer.

Minutes is a meeting notetaker for people who want searchable records of calls, voice memos and everyday dictation on their own computer. You can read the notes in the app or let an AI assistant search the conversations you choose to share.

Jina Reader is a web extraction API for developers building AI agents, search tools and systems that answer questions from retrieved documents. It turns page content into Markdown or JSON instead of passing raw HTML to an LLM.

Megatron-LM is a Python framework for researchers training large language models on NVIDIA GPU infrastructure. It provides reference training scripts for experimenting with models and studying distributed training.

LangExtract is a Python library for developers who need to turn notes, reports or other text into structured data. It links extracted details to their original passages so people can check the results against the document.

Atlas is a desktop workspace for developers who use coding agents across projects and want to keep the context behind their code changes. It brings agent conversations, code review and project history into one window.

Code Review Graph helps developers review changes with AI coding assistants without repeatedly supplying an entire repository. It keeps a local map of code relationships and returns the context relevant to a change or question.

Minima lets you ask questions about your own documents, with a choice of local inference or an external model. It's a self-hosted RAG tool for people and teams who want document-based answers while controlling where indexing and AI processing happen. It runs in Docker containers and is open source under the Mozilla Public License 2.0.

n8n-MCP connects AI assistants to n8n so automation builders can create and maintain workflows through tools such as Claude, ChatGPT and Cursor. It's a connector for an assistant you already use, rather than a standalone AI agent.

Better Harness helps developers and teams assess how coding agents carry out work. It examines the workflow around a code change to find unclear goals, missing validation and delivery checks that a diff review can miss.

Stash gives AI tools persistent memory so preferences, plans and working context can carry into later conversations. It's for people switching between AI tools and developers building agents that need information to survive between sessions.

CAMEL is a Python framework for developers and researchers building AI agent teams with models running locally through Ollama or through remote providers. Its Ollama integration connects agents to a local model service; choosing OpenAI instead sends model requests to OpenAI and requires an API key. The framework is open source under Apache 2.0.

Wake is a desktop app for developers who need to find past coding-agent conversations across tools. It gathers session histories into a library organized by project and agent.

Laya brings work notifications into one feed for people managing email, tickets, pull requests, and team messages. It gathers related context and prepares action cards with drafts you can review before sending.

SwarmVault is a self-hosted knowledge base for people organizing research, notes or code documentation for themselves and AI agents. It turns collected sources into a persistent Markdown wiki with connections you can inspect.