24 actively-maintained semantic kernel research agents · ranked by maintenance health · 33,699+ indexed
Looking for the best open-source semantic kernel research AI agent? Beacon indexes 33,699+ agents and MCP servers from GitHub and ranks them by real maintenance health — freshness, stars, and activity — so abandoned repos don't top the list. Save time: one search returns ranked, linkable agents in under a second (vs hours on GitHub). Below are 24 semantic kernel research agents you can install today — free, no API key.
What is the best open-source semantic kernel research agent?
Top-ranked semantic kernel research agents on Beacon include Deer Flow, Ai Agents For Beginners, Semantic Kernel, ranked by maintenance health — recent activity, GitHub stars, and open-issue load — not stars alone.
Are these semantic kernel research agents free to use?
Yes. Every semantic kernel research agent listed is open-source and free. Beacon is a free directory — no API key or signup to browse or search.
How do I use a semantic kernel research agent from my editor or AI assistant?
Run 'npx -y beacon-mcp' to add Beacon as an MCP server in Cursor, Claude Desktop, Cline, or Windsurf, then ask your AI to find a semantic kernel research agent.
How does Beacon save time finding a semantic kernel research agent?
Instead of searching GitHub and reading dozens of READMEs, call GET https://registry-ruby.vercel.app/api/v1/search?q=semantic+kernel+research — sub-second results ranked by health, stars, and activity.
Can autonomous AI agents discover semantic kernel research tools programmatically?
Yes. Agents read https://registry-ruby.vercel.app/llms.txt and call POST /api/v1/discover with {"query": "semantic kernel research"} — no API key required.