--- title: "agno vs xiaohongshu-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-xpzouying-xiaohongshu-mcp" tools: ["agno-agi-agno", "xpzouying-xiaohongshu-mcp"] --- # agno vs xiaohongshu-mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when agno is primarily Python; xiaohongshu-mcp is Go; pick xiaohongshu-mcp when xiaohongshu-mcp is primarily Go; agno is Python. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [xiaohongshu-mcp](https://www.haha.ai/xiaohongshu-mcp) has 15k stars, 2.2k forks, and 284 open issues, last pushed Jul 6, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [xiaohongshu-mcp's repository](https://github.com/xpzouying/xiaohongshu-mcp). | | [agno](/tools/agno-agi-agno.md) | [xiaohongshu-mcp](/tools/xpzouying-xiaohongshu-mcp.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | MCP for xiaohongshu.com | | Stars | 41,090 | 14,626 | | Forks | 5,627 | 2,170 | | Open issues | 1,009 | 284 | | Language | Python | Go | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [xiaohongshu-mcp](/tools/xpzouying-xiaohongshu-mcp.md) | | --- | --- | --- | | Days since push | 0d | 5d | | Open issues (now) | 1.0k | 284 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/xpzouying-xiaohongshu-mcp/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Choose when ### Choose agno if… - agno is primarily Python; xiaohongshu-mcp is Go. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Also covers AI Agents. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose xiaohongshu-mcp if… - xiaohongshu-mcp is primarily Go; agno is Python. - Tags unique to xiaohongshu-mcp: go, mcp, mcp-server, xiaohongshu-mcp. - Leaner open-issue backlog (284). ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use xiaohongshu-mcp - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between agno and xiaohongshu-mcp? agno: Build, run, and manage your own agent platform.. xiaohongshu-mcp: MCP for xiaohongshu.com. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over xiaohongshu-mcp? Choose agno over xiaohongshu-mcp when agno is primarily Python; xiaohongshu-mcp is Go; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose xiaohongshu-mcp over agno? Choose xiaohongshu-mcp over agno when xiaohongshu-mcp is primarily Go; agno is Python; Tags unique to xiaohongshu-mcp: go, mcp, mcp-server, xiaohongshu-mcp; Leaner open-issue backlog (284). ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid xiaohongshu-mcp? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or xiaohongshu-mcp more popular on GitHub? agno has more GitHub stars (41,090 vs 14,626). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and xiaohongshu-mcp open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agno or xiaohongshu-mcp? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [xiaohongshu-mcp alternatives](/tools/xpzouying-xiaohongshu-mcp/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [xiaohongshu-mcp markdown twin](/tools/xpzouying-xiaohongshu-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agno-agi-agno-vs-xpzouying-xiaohongshu-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or xiaohongshu-mcp? agno: Very active. xiaohongshu-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agno and xiaohongshu-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [xiaohongshu-mcp trust report](/tools/xpzouying-xiaohongshu-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_