--- title: "xiaozhi-esp32 vs agno" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/78-xiaozhi-esp32-vs-agno-agi-agno" tools: ["78-xiaozhi-esp32", "agno-agi-agno"] --- # xiaozhi-esp32 vs agno *GraphCanon updated Jul 11, 2026* ## Verdict Pick xiaozhi-esp32 when xiaozhi-esp32 is primarily C++; agno is Python; pick agno when agno is primarily Python; xiaozhi-esp32 is C++. [xiaozhi-esp32](https://xiaozhi.me) reports 28k GitHub stars, 6.3k forks, and 659 open issues, last pushed Jul 7, 2026. [agno](https://docs.agno.com) has 41k stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [xiaozhi-esp32's repository](https://github.com/78/xiaozhi-esp32) and [agno's repository](https://github.com/agno-agi/agno). | | [xiaozhi-esp32](/tools/78-xiaozhi-esp32.md) | [agno](/tools/agno-agi-agno.md) | | --- | --- | --- | | Tagline | An MCP-based chatbot | 一个基于MCP的聊天机器人 | Build, run, and manage your own agent platform. | | Stars | 28,016 | 41,090 | | Forks | 6,310 | 5,627 | | Open issues | 659 | 1,009 | | Language | C++ | Python | | 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 | MIT | Apache-2.0 | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [xiaozhi-esp32](/tools/78-xiaozhi-esp32.md) | [agno](/tools/agno-agi-agno.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 659 | 1.0k | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/78-xiaozhi-esp32/trust.md) | [trust report](/tools/agno-agi-agno/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 xiaozhi-esp32 if… - xiaozhi-esp32 is primarily C++; agno is Python. - License: xiaozhi-esp32 is MIT, agno is Apache-2.0. - Tags unique to xiaozhi-esp32: c++, chatbot, esp32, mcp. ### Choose agno if… - agno is primarily Python; xiaozhi-esp32 is C++. - License: agno is Apache-2.0, xiaozhi-esp32 is MIT. - 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 NOT to use xiaozhi-esp32 - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between xiaozhi-esp32 and agno? xiaozhi-esp32: An MCP-based chatbot | 一个基于MCP的聊天机器人. agno: Build, run, and manage your own agent platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose xiaozhi-esp32 over agno? Choose xiaozhi-esp32 over agno when xiaozhi-esp32 is primarily C++; agno is Python; License: xiaozhi-esp32 is MIT, agno is Apache-2.0; Tags unique to xiaozhi-esp32: c++, chatbot, esp32, mcp. ### When should I choose agno over xiaozhi-esp32? Choose agno over xiaozhi-esp32 when agno is primarily Python; xiaozhi-esp32 is C++; License: agno is Apache-2.0, xiaozhi-esp32 is MIT; 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 avoid xiaozhi-esp32? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is xiaozhi-esp32 or agno more popular on GitHub? agno has more GitHub stars (41,090 vs 28,016). Stars measure visibility, not whether either tool fits your constraints. ### Are xiaozhi-esp32 and agno open source? Yes - both are open-source projects on GitHub (xiaozhi-esp32: MIT, agno: Apache-2.0). ### Where can I find alternatives to xiaozhi-esp32 or agno? GraphCanon lists graph-backed alternatives at [xiaozhi-esp32 alternatives](/tools/78-xiaozhi-esp32/alternatives) and [agno alternatives](/tools/agno-agi-agno/alternatives) ([xiaozhi-esp32 markdown twin](/tools/78-xiaozhi-esp32/alternatives.md), [agno markdown twin](/tools/agno-agi-agno/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/78-xiaozhi-esp32-vs-agno-agi-agno.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, xiaozhi-esp32 or agno? xiaozhi-esp32: Very active. agno: 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 xiaozhi-esp32 and agno? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [xiaozhi-esp32 trust report](/tools/78-xiaozhi-esp32/trust); [agno trust report](/tools/agno-agi-agno/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=78-xiaozhi-esp32`](/api/graphcanon/graph?tool=78-xiaozhi-esp32) - 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/_