Model Context Protocol (MCP) Official Framework
Open standard that enables AI models to securely connect to external tools, databases, development servers, and context sources.
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Review profile →Deployment guide
Self-Hosted AI Agents
Compare source-linked agent tools whose directory profiles reference self-hosting or open-source deployment.
The short answer
Confirm license, model costs, hosting requirements, telemetry, and security controls at the source. This page currently surfaces 18 matching source-linked records from 447 active directory listings. Results are research leads, not endorsements or rankings.
Profiles to research
18 matchesECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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Review profile →hermes agent
The agent that grows with you
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Review profile →deepseek harness
DeepSeek Harness: Everything is a Plugin.
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Review profile →AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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Review profile →firecrawl
The context API to search, scrape, and interact with the web at scale. 🔥
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Review profile →langchain
The agent engineering platform.
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Review profile →ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
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Review profile →graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
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Review profile →browser use
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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Review profile →gemini cli
An open-source AI agent that brings the power of Gemini directly into your terminal.
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Review profile →claude mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
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Review profile →ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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Review profile →deer flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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Review profile →Prompt Engineering Guide
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
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Review profile →awesome claude skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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Review profile →Front End Checklist
🗂 The essential checklist for modern web development, for humans and AI agents
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Review profile →ai agents for beginners
18 Lessons to Get Started Building AI Agents
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Review profile →Verification checklist
- Open the linked primary source and confirm the detail is still current.
- Treat an undisclosed field as unknown rather than assuming a value.
- Compare total fit, support, and constraints, not a single headline feature.
- Ask the listed organization to correct or claim its profile when details differ.
Common questions
How to use this guide
What is included in Self-Hosted AI Agents?
This guide surfaces 18 matching records from 447 active The AI Agent Market listings using published categories, tags, capabilities, and source links.
Are these listings recommendations or rankings?
No. They are research leads selected by transparent matching rules. Inclusion does not establish quality, safety, suitability, or current availability.
How should I verify a listing?
Open the linked primary source, confirm that the relevant detail is current, and ask the listed organization about pricing, eligibility, implementation, support, and constraints before deciding.