--- title: "kratos vs Agent-Reach" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/go-kratos-kratos-vs-panniantong-agent-reach" tools: ["go-kratos-kratos", "panniantong-agent-reach"] --- # kratos vs Agent-Reach *GraphCanon updated Jul 11, 2026* ## Verdict Pick kratos when kratos is primarily Go; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; kratos is Go. [kratos](https://go-kratos.dev) reports 26k GitHub stars, 4.2k forks, and 83 open issues, last pushed Jul 1, 2026. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) has 55k stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [kratos's repository](https://github.com/go-kratos/kratos) and [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach). | | [kratos](/tools/go-kratos-kratos.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Tagline | Your ultimate Go microservices framework for the cloud-native era. | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | | Stars | 25,781 | 54,715 | | Forks | 4,165 | 4,509 | | Open issues | 83 | 144 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools | LLM Frameworks, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kratos](/tools/go-kratos-kratos.md) | [Agent-Reach](/tools/panniantong-agent-reach.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 0d | | Open issues (now) | 83 | 144 | | Owner type | Organization | User | | Full report | [trust report](/tools/go-kratos-kratos/trust.md) | [trust report](/tools/panniantong-agent-reach/trust.md) | ## Choose when ### Choose kratos if… - kratos is primarily Go; Agent-Reach is Python. - Tags unique to kratos: architecture, go, cloud-native, generate. - Leaner open-issue backlog (83). ### Choose Agent-Reach if… - Agent-Reach is primarily Python; kratos is Go. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers LLM Frameworks, AI Agents. ## When NOT to use kratos - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Agent-Reach - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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 kratos and Agent-Reach? kratos: Your ultimate Go microservices framework for the cloud-native era.. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories. ### When should I choose kratos over Agent-Reach? Choose kratos over Agent-Reach when kratos is primarily Go; Agent-Reach is Python; Tags unique to kratos: architecture, go, cloud-native, generate; Leaner open-issue backlog (83). ### When should I choose Agent-Reach over kratos? Choose Agent-Reach over kratos when Agent-Reach is primarily Python; kratos is Go; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents. ### When should I avoid kratos? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Agent-Reach? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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 kratos or Agent-Reach more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 25,781). Stars measure visibility, not whether either tool fits your constraints. ### Are kratos and Agent-Reach open source? Yes - both are open-source projects on GitHub (kratos: MIT, Agent-Reach: MIT). ### Where can I find alternatives to kratos or Agent-Reach? GraphCanon lists graph-backed alternatives at [kratos alternatives](/tools/go-kratos-kratos/alternatives) and [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) ([kratos markdown twin](/tools/go-kratos-kratos/alternatives.md), [Agent-Reach markdown twin](/tools/panniantong-agent-reach/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/go-kratos-kratos-vs-panniantong-agent-reach.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kratos or Agent-Reach? kratos: Active. Agent-Reach: 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 kratos and Agent-Reach? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kratos trust report](/tools/go-kratos-kratos/trust); [Agent-Reach trust report](/tools/panniantong-agent-reach/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=go-kratos-kratos`](/api/graphcanon/graph?tool=go-kratos-kratos) - 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/_