AI Agent Frameworks, MCP Servers and SDKs

Context Mode is a local MCP plugin for developers whose AI coding agents fill their context windows with logs, file reads and search results. It stores large tool outputs on your machine so the agent can retrieve relevant passages as needed.

HarnessX is a Python framework for developers building AI agents whose behavior they can reuse and adapt. It separates model choice from tool use, memory and context handling, so changing an agent's role doesn't require rewriting it.

Auteur is an AI web design skill for coding agents building animated landing pages and products with several screens. It sets visual direction before code and supplies recipes and automated checks for the resulting site.

Paxm gives AI coding assistants persistent memory of project decisions, conventions and past work. It's for developers who want later sessions or another coding agent to recover context they've already explained.

Captain Memo gives developers a shared memory across coding assistants, so project decisions and lessons remain available between sessions and tools. Claude Code, Codex, Gemini CLI, Cursor and other MCP-compatible assistants can access the same corpus.

Higress is an AI gateway for teams building AI apps and agents that need shared controls across model requests and tool calls. It brings model APIs, MCP services and Kubernetes inference workloads behind one entry point.

AutoAgent lets people create AI agents by describing the work they want done. It's for users who want custom agents without writing the agent code themselves, or a ready-made research assistant for gathering information and producing reports.

CrewAI is a Python framework for developers automating work with teams of AI agents. It combines agents that make decisions with explicit workflow logic, so a process can include both autonomous work and predictable steps.

SkillHub is a self-hosted registry for teams that share reusable AI agent skills and need control over who can publish or access them. It gives organizations a private place to manage internal skill collections.

CyberScraper 2077 turns web pages into structured data through a conversational interface. It's for analysts and researchers who want to describe the information they need and export the results.

Optio coordinates coding agents and automated work for teams using their own infrastructure. A shared feed tracks pull requests, recurring jobs, interactive sessions and agents that stay available between tasks.

iAi Personal Memory Engine gives AI assistants persistent memory on your machine. It's for people using coding agents who want past conversations, project details and preferences available across sessions.

Yuxi is a self-hosted AI agent platform for teams that need answers from their documents and agents that can carry out multi-step work. Its browser workspace brings knowledge sources, task progress and generated files into the same conversation.

agentchattr is a local chat server for developers coordinating multiple AI coding agents. Humans and agents share a conversation and can mention one another to trigger responses without carrying messages between terminals.

iCode is a terminal development workspace for developers who want to work with AI agents and inspect their changes. It brings conversations, agent workflows and a working shell into one interface.

Pathrule gives AI coding agents project knowledge that stays attached to the relevant workspace and file paths. Memories, rules and skills can follow a repository across agents and sessions, so developers can retain decisions and constraints without pasting the same instructions into each conversation.

PraisonAI is a Python framework for developers building AI agents that research, write code, or carry out tasks across apps. It supports single agents and coordinated teams for work that needs several steps or specialist roles.

Team Tasks is a local command-line tool for developers coordinating AI agents through OpenClaw or another orchestration system. Shared JSON files keep task assignments, progress and results in one project record.

memU gives connected AI agents a shared memory of preferences, project decisions and learned workflows. It's for people who move between agents or sessions and want useful context to carry into later tasks.

LangBot is an AI bot platform for teams handling customer support, internal questions, or community chats. It brings agents and existing AI workflows into the messaging services people already use.

AutoTS is an open-source Python package for people who need forecasts across many time series without choosing a model and preprocessing method for each one. It runs in your own Python environment and uses automated search to compare forecasting approaches for your data. The license is MIT.

Vigil SOC is an open source AI SOC for security teams that want agents to investigate alerts and carry out incident response within their own environment. It connects investigations, containment, and reporting through editable playbooks.

Open Multi Agent is a TypeScript framework for developers building self-hosted AI agent teams. It lets you coordinate work across agents, require human decisions before consequential actions, and inspect what happened afterward.

AutoGen is a framework for cooperating AI agents, with local Playwright browser automation, code execution and an experimental OllamaChatCompletionClient for local models. Its orchestration can run on your machine or across servers. Standard OpenAI and Azure OpenAI service connections send model requests to remote services; compatible endpoint overrides are separate configurations.

Potpie's open-source CLI gives developers and coding assistants a local store of project context, backed by a daemon and a browser graph explorer. It's for teams that need agents to understand code alongside engineering decisions and project history. With Claude Code’s standard cloud connection, prompts and model outputs travel to a remote model provider over the network.

Stella is a legal workspace for law firms and legal teams that want matter files, contract review and research in one place. Its AI agent answers questions about a matter with citations that open the relevant source passage.

RESTai is a self-hosted AI platform for developers and teams building document assistants, agents and AI services for other applications. Its web interface manages projects with separate models, prompts and tools, plus a chat playground for testing them.

BotSharp is a C# framework for .NET developers building AI assistants into business applications. It coordinates agents with different responsibilities and keeps track of conversation state.

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.

Humanizer Stack is a pair of Claude Code skills for writers and editors revising public-facing AI drafts. It checks sentence-level habits and the shape of a piece, rather than limiting edits to word substitutions.

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.

AgentFlow is a Python framework for developers coordinating coding agents across tasks that depend on one another. It runs Codex, Claude, Kimi, and Pi agents in workflows that can split work and bring the results back together.

SlopMonster checks English drafts for wording and sentence patterns often associated with AI writing. It's for writers and developers reviewing copy for READMEs, landing pages, emails or scripts.