# AI Agents — MDRSS semantic catalog

> Semantic domain: ai-agents
> Coding agents, agent frameworks, tools, prompting, evaluation, safety, and autonomous workflows.
> Filters: category=agent-frameworks
> Aggregate catalog URL: https://mdrss.com/catalog/ai-agents?category=agent-frameworks

## Feeds

- [AI, Agents & Prompting](https://mdrss.com/s/ai-agents-and-prompting) — Agent frameworks, model behavior, evaluation, prompting, and MCP.
- [AI Search, GEO & SEO](https://mdrss.com/s/ai-search-geo-and-seo) — AI visibility, answer-engine optimization, structured data, and search quality.

## Aggregate endpoints

- RSS: https://mdrss.com/catalog/ai-agents/rss.xml?category=agent-frameworks
- JSON: https://mdrss.com/catalog/ai-agents/feed.json?category=agent-frameworks

## Semantic domain cards (24)

### [Integuru v0](https://mdrss.com/ai-agents/agent-frameworks/2662/2662.md)

This repo contains the earliest version of the Integuru agent we released publicly. It shows the original approach: using browser network requests to generate runnable integration code for platforms without official APIs.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1

### [Agent Starter for React](https://mdrss.com/ai-agents/agent-frameworks/2239/2239.md)

This is a starter template for LiveKit Agents that provides a simple voice interface using Agents UI components and LiveKit JavaScript SDK. It supports voice, transcriptions, and virtual avatars.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1

### [HomeRail](https://mdrss.com/ai-agents/agent-frameworks/2231/2231.md)

English | 中文 HomeRail is a TypeScript runtime that turns one-off agent chats into auditable, reusable workflows. The name comes from what it is: Home — it runs on your own homelab, NAS, or home server, serving the people who live there; Rail — the track shape of a DAG, where agent work flows node to node along explicit edges instead of pooling in a single chat.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [From a request to a reviewable result](https://mdrss.com/ai-agents/agent-frameworks/2205/2205.md)

MARVIS-Agent Tell MARVIS what risk decision you need. It turns local data into governed analysis, models, strategies, and audit-ready deliverables.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1

### [The invariant: agents outlive callers](https://mdrss.com/ai-agents/agent-frameworks/2176/2176.md)

Kheish Persistent agent runtime and control plane for long-lived, tool-using AI workflows. &nbsp; --- Kheish enforces one rule: Everything else in this README is a consequence of that single invariant.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [AgenticGoKit](https://mdrss.com/ai-agents/agent-frameworks/2039/2039.md)

Robust Go framework for building intelligent multi-agent AI systems The most productive way to build AI agents in Go. AgenticGoKit provides a unified, streaming-first API for creating intelligent agents with built-in workflow orchestration, tool integration, and memory management.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [go-agent](https://mdrss.com/ai-agents/agent-frameworks/1856/1856.md)

go-agent is a Go framework for building AI agents with pluggable LLM providers, memory, file context, guardrails, UTCP tool orchestration, and multi-agent coordination. Use it when you want agent runtime pieces that stay idiomatic in Go: For this repository: The module currently targets Go 1.25.10.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [Key Features](https://mdrss.com/ai-agents/agent-frameworks/1788/1788.md)

Solace Agent Mesh Open-source framework for building event driven multi-agent AI systems Star ⭐️ this repo to stay updated as we ship new features and improvements. Key Features • Quickstart • Next Steps • Docs --- Solace Agent Mesh is a framework that supports building AI applications where multiple specialized AI agents work together to solve complex problems.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [Agentic Document Extraction Python Library](https://mdrss.com/ai-agents/agent-frameworks/1759/1759.md)

) Docs · Playground · LandingAI The official Python library for the LandingAI Agentic Document Extraction (ADE) API. Parse PDFs and images into structured, grounded Markdown, then extract typed fields with a JSON Schema or Pydantic model.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [Dash](https://mdrss.com/ai-agents/agent-frameworks/1752/1752.md)

A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [Instructor Php](https://mdrss.com/ai-agents/agent-frameworks/1575/1575.md)

This monorepo contains a set of dev-friendly, framework agnostic components offering 3 main capabilities: Framework integration packages: The library offers a set of small, focused building blocks. Purpose: turn messy model output into typed PHP data.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [Sandlock](https://mdrss.com/ai-agents/agent-frameworks/1566/1566.md)

Confines untrusted code using Landlock (filesystem + network + IPC), seccomp-bpf (syscall filtering), and seccomp user notification (resource limits, IP enforcement, /proc virtualization). Sandlock targets the gap: strict confinement without image builds or root privileges.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [Hierarchical Autonomous Agent Swarm (HAAS)](https://mdrss.com/ai-agents/agent-frameworks/1561/1561.md)

You can chat with this custom ChatGPT to figure out what's going on! The Autonomous AI Lab discord for the ACE Framework and HAAS Project is now open: https://discord.gg/mJKUYNm8qY This is first and foremost a high velocity hacking group.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1

### [YouTube Automation Agent](https://mdrss.com/ai-agents/agent-frameworks/1558/1558.md)

This release resolves every open GitHub issue (#1, #2, #3, #4, #8, #9, #13): --- Fully automated YouTube channel management system. AI agents handle content strategy, scriptwriting, thumbnail generation, SEO, publishing, and analytics — end to end, on a daily schedule.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale](https://mdrss.com/ai-agents/agent-frameworks/1549/1549.md)

Towards Async, Omni-Modal RL at Scale, Just Relax. 📖 English | 📖 中文 Relax (Reinforcement Engine Leveraging Agentic X-modality) is a high-performance reinforcement learning post-training framework open-sourced by the Xiaohongshu AI Infra Team for multimodal large language models.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [Openhuman](https://mdrss.com/ai-agents/agent-frameworks/1455/1455.md)

OpenHuman OpenHuman is your personal AI super intelligence: a brain that remembers everything, a fantastic orchestrator, a deep researcher. Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator) 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو Download installers from tinyhumans.ai/openhuman or from the GitHub Releases page.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [LazyLLM: A Low-code Development Tool For Building Multi-agent LLMs Applications](https://mdrss.com/ai-agents/agent-frameworks/1376/1376.md)

中文 | EN LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [What you get](https://mdrss.com/ai-agents/agent-frameworks/1367/1367.md)

DashClaw When your AI coding agent tries something destructive, DashClaw catches it before it runs and asks you first, even when you are not at the keyboard. What you get &nbsp;·&nbsp; What it stops &nbsp;·&nbsp; The loop &nbsp;·&nbsp; What it is not &nbsp;·&nbsp; Quick start &nbsp;·&nbsp; Connect an agent An agent tries a destructive tool call.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [Swarm (experimental, educational)](https://mdrss.com/ai-agents/agent-frameworks/1213/1213.md)

Requires Python 3.10+ or Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions: Agents and handoffs.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [nanobot](https://mdrss.com/ai-agents/agent-frameworks/1160/1160.md)

English | 简体中文 | 繁體中文 | Español | Français | Bahasa Indonesia | 日本語 | 한국어 | Русский | Tiếng Việt Discord · X · WeChat / Feishu 🐈 nanobot is an ultra-lightweight, open-source, self-hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long-term memory, MCP integrations, model routing, multi-agent delegation, scheduled automation, and an OpenAI-compatible API in a small, readable core.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:57.792Z · Version: 1

### [DESIGN.md](https://mdrss.com/ai-agents/agent-frameworks/1148/1148.md)

A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:15:38.483Z · Version: 1

### [TencentDB Agent Memory](https://mdrss.com/ai-agents/agent-frameworks/1102/1102.md)

· Team Play · Technical Implementation · Benchmark English · 简体中文 --- Start all three services in one go (memory-core + memory-hub + proxy): Open the panel: http://localhost:8125. Complete installation documentation (standalone Memory Hub deployment, Proxy + Claude Code / CodeBuddy usage, stop and cleanup, port reference, etc.) is available in INSTALL.md (中文: INSTALLCN.md).

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:55.446Z · Version: 1

### [SwarmClaw](https://mdrss.com/ai-agents/agent-frameworks/1028/1028.md)

The self-hosted AI agent runtime and multi-agent framework for autonomous agents. Open-source agent swarms with durable agent memory, MCP tools, skills, delegation, schedules, and 23+ LLM providers — a practical Claude Code and LangChain alternative.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1

### [Open Deep Research](https://mdrss.com/ai-agents/agent-frameworks/999/999.md)

Deep research has broken out as one of the most popular agent applications. This is a simple, configurable, fully open source deep research agent that works across many model providers, search tools, and MCP servers.

Feed: [ai-agents](https://mdrss.com/s/ai-agents) · Snapshot: 2026-08-04T12:16:56.618Z · Version: 1
