AI Agent Frameworks, MCP Servers and SDKs

Semantica is a Python toolkit for teams building AI systems that need shared context, traceable decisions and policy checks. It connects facts and decisions to their evidence in queryable knowledge graphs.

Swarm Fleet manages multiple terminal AI agents on your machine for developers coordinating coding, review and ticket work. Each agent has its own terminal, with shared controls for supervising their work.

Langroid is a Python framework for developers building applications where AI agents divide up a task. Each agent can maintain its own conversation and use documents or tools, then delegate work to other agents.

Tandem Browser is a desktop browser for people who want AI agents to carry out web tasks alongside them. You and the agent work in the same logged-in session, so you can watch its actions and step in when needed.

Inspect AI is a Python framework for researchers and developers evaluating language models and AI agents. It measures coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

MetaGPT is a Python AI agent framework for developers who want to generate software projects using local models through Ollama or remote model APIs. The framework runs on your machine and writes a project repository locally. Its example configuration uses OpenAI, which sends model requests to that provider and requires API credentials.

Semantic Kernel is an SDK for developers building AI agents and coordinated workflows inside applications. It lets developers choose local model backends or cloud providers for those applications.

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.

Zep Community Edition is a self-hosted memory service for developers building AI agents and conversational assistants. It turns chat history into connected facts so an assistant can recall context across conversations and distinguish current preferences from older ones.

Rasa Open Source is a Python framework for developers building text and voice assistants on their own servers. It provides natural-language understanding, dialogue management and integrations with messaging channels.

NullClaw runs AI agents on your own hardware or server for coding work and automated background tasks. It's aimed at developers who want an assistant that can carry out multi-step jobs with controls over its access and actions.

Nox is a security scanner for developers building LLM applications, RAG systems and agents with tool access. It traces untrusted input into model calls and model output into dangerous operations, including paths across functions and files.

OpenSandbox gives developers isolated environments for AI agents that need to execute code or interact with browsers and developer tools. It runs on your own infrastructure, locally with Docker or on a Kubernetes cluster.

Embedding Atlas helps researchers and developers inspect embedding datasets and the records behind them. It makes clusters, outliers, and relationships visible alongside the data's metadata.

Tolaria is a desktop knowledge base for personal notes, company documentation, and assistant memory. It keeps your material in ordinary Markdown files that other editors and tools can read.

Fortress is a self-hosted Chromium fork for developers whose scrapers and AI agents encounter browser fingerprint checks. It changes fingerprint behavior inside the browser engine to help automated sessions access protected pages.

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.

mergekit combines pretrained language models into one model for developers and researchers who want to combine specialized skills or balance model behaviors. It works directly with model weights, without additional training or access to the original training data.

GPT Crawler collects website text into knowledge files for people building AI assistants around documentation or other web content. It prepares the material a custom GPT or assistant can use to answer questions about a site.

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.

BeeAI Framework is for developers building AI agents and systems where several agents work together. It lets developers enforce rules on agent behavior while retaining the model's ability to reason.

Safetensors is a file format and library for developers storing and loading AI model weights on their own hardware or servers. It addresses the arbitrary code execution risk of pickle-based PyTorch files.

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.

TEN Framework is a self-hosted framework for developers building voice agents and multimodal conversational applications. Its default assistant example depends on external services even when the application runs on your hardware.

Gradio builds browser interfaces around machine learning models, APIs and Python functions. It's for developers and researchers who want people to try an AI application without writing a separate JavaScript or CSS frontend.

ai-memory keeps project context for developers who switch coding assistants or machines. It preserves unfinished work, failed approaches and open questions so the next session can pick up the task.

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.

Crawl4AI is a web crawler and scraper for developers feeding websites into AI agents, RAG systems and data pipelines. It can extract useful page content without requiring an LLM.

Atlas Note combines a self-hosted note library with AI search and answers that cite your notes. It's for people keeping meeting records, project notes or personal reference material who want to find related information without remembering exact wording. The browser interface runs on your own Docker-hosted server, and the project is open source under the MIT license.

LLM is a command-line tool and Python library for developers who want to use language models in terminal workflows or applications. It supports models running on your machine alongside remote providers such as OpenAI, Anthropic and Google.

Hillnote is a writing and planning workspace for people who want local files and AI help inside their editor. It keeps your work as plain Markdown on disk, readable by other editors and accessible to AI agents.

RedAmon is an AI penetration testing framework for security teams testing systems they're authorized to assess. It connects attack-surface discovery, exploit testing and code fixes in one self-hosted workspace.