--- title: "agno vs kratos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-go-kratos-kratos" tools: ["agno-agi-agno", "go-kratos-kratos"] --- # agno vs kratos *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when agno is primarily Python; kratos is Go; pick kratos when kratos 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. [kratos](https://go-kratos.dev) has 26k stars, 4.2k forks, and 83 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [kratos's repository](https://github.com/go-kratos/kratos). | | [agno](/tools/agno-agi-agno.md) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Your ultimate Go microservices framework for the cloud-native era. | | Stars | 41,090 | 25,781 | | Forks | 5,627 | 4,165 | | Open issues | 1,009 | 83 | | 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 | MIT | | 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) | [kratos](/tools/go-kratos-kratos.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 9d | | Open issues (now) | 1.0k | 83 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/go-kratos-kratos/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; kratos is Go. - License: agno is Apache-2.0, kratos is MIT. - Tags unique to agno: agents, python, developer-tools, ai-agents. - 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 kratos if… - kratos is primarily Go; agno is Python. - License: kratos is MIT, agno is Apache-2.0. - Tags unique to kratos: architecture, go, cloud-native, generate. ## 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 kratos - 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 kratos? agno: Build, run, and manage your own agent platform.. kratos: Your ultimate Go microservices framework for the cloud-native era.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over kratos? Choose agno over kratos when agno is primarily Python; kratos is Go; License: agno is Apache-2.0, kratos is MIT; Tags unique to agno: agents, python, developer-tools, ai-agents; 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 kratos over agno? Choose kratos over agno when kratos is primarily Go; agno is Python; License: kratos is MIT, agno is Apache-2.0; Tags unique to kratos: architecture, go, cloud-native, generate. ### 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 kratos? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or kratos more popular on GitHub? agno has more GitHub stars (41,090 vs 25,781). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and kratos open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, kratos: MIT). ### Where can I find alternatives to agno or kratos? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [kratos alternatives](/tools/go-kratos-kratos/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [kratos markdown twin](/tools/go-kratos-kratos/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-go-kratos-kratos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or kratos? agno: Very active. kratos: 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 kratos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [kratos trust report](/tools/go-kratos-kratos/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/_