--- title: "WeKnora vs unbody" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tencent-weknora-vs-unbody-io-unbody" tools: ["tencent-weknora", "unbody-io-unbody"] --- # WeKnora vs unbody *GraphCanon updated Jul 12, 2026* ## Verdict Pick WeKnora if weKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포; pick unbody if unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. [WeKnora](https://weknora.weixin.qq.com) reports 18k GitHub stars, 2.5k forks, and 358 open issues, last pushed Jul 11, 2026. [unbody](https://unbody.io) has 527 stars, 49 forks, and 3 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [WeKnora's repository](https://github.com/Tencent/WeKnora) and [unbody's repository](https://github.com/unbody-io/unbody). | | [WeKnora](/tools/tencent-weknora.md) | [unbody](/tools/unbody-io-unbody.md) | | --- | --- | --- | | Tagline | Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. | The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data. | | Stars | 18,122 | 527 | | Forks | 2,479 | 49 | | Open issues | 358 | 3 | | Language | Go | TypeScript | | Adopt for | WeKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포 | unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks, Vector Databases | AI Agents, Data & Retrieval, Developer Tools, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [WeKnora](/tools/tencent-weknora.md) | [unbody](/tools/unbody-io-unbody.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 88d | | Open issues (now) | 358 | 3 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/tencent-weknora/trust.md) | [trust report](/tools/unbody-io-unbody/trust.md) | ## Decision facts: WeKnora - **Pricing:** freemium - Free and open-source under the MIT license. - **Adopt for:** WeKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포 ## Decision facts: unbody - **Adopt for:** unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. ## Choose when ### Choose WeKnora if… - WeKnora is primarily Go; unbody is TypeScript. - License: WeKnora is Other, unbody is Apache-2.0. - Pricing: Free and open-source under the MIT license.. - Tags unique to WeKnora: agent, agentic, ai, embeddings. - Also covers Evaluation & Observability, LLM Frameworks. - Use WeKnora if you prefer the Go (Golang) language ecosystem. ### Choose unbody if… - unbody is primarily TypeScript; WeKnora is Go. - License: unbody is Apache-2.0, WeKnora is Other. - Tags unique to unbody: agentic-ai, ai-native, backend, data-enhancement. - Also covers Data & Retrieval, Developer Tools. - You need to build an application that requires continuous learning and updating from new data in real-time. ## When NOT to use WeKnora - Avoid WeKnora if your team's primary expertise is not in Go (Golang). - If you require real-time updates that are more seamlessly integrated with external systems, as WeKnora focuses on internal maintenance processes. - WeKnora might not be the best fit if your specific needs require proprietary licensing or access to features beyond its MIT License. ## When NOT to use unbody - If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis. - For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities. ## Common questions ### What is the difference between WeKnora and unbody? WeKnora: Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.. unbody: The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose WeKnora over unbody? Choose WeKnora over unbody when WeKnora is primarily Go; unbody is TypeScript; License: WeKnora is Other, unbody is Apache-2.0; Pricing: Free and open-source under the MIT license.; Tags unique to WeKnora: agent, agentic, ai, embeddings; Also covers Evaluation & Observability, LLM Frameworks; Use WeKnora if you prefer the Go (Golang) language ecosystem. ### When should I choose unbody over WeKnora? Choose unbody over WeKnora when unbody is primarily TypeScript; WeKnora is Go; License: unbody is Apache-2.0, WeKnora is Other; Tags unique to unbody: agentic-ai, ai-native, backend, data-enhancement; Also covers Data & Retrieval, Developer Tools; You need to build an application that requires continuous learning and updating from new data in real-time. ### When should I avoid WeKnora? Avoid WeKnora if your team's primary expertise is not in Go (Golang). If you require real-time updates that are more seamlessly integrated with external systems, as WeKnora focuses on internal maintenance processes. WeKnora might not be the best fit if your specific needs require proprietary licensing or access to features beyond its MIT License. ### When should I avoid unbody? If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis. For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities. ### Is WeKnora or unbody more popular on GitHub? WeKnora has more GitHub stars (18,122 vs 527). Stars measure visibility, not whether either tool fits your constraints. ### Are WeKnora and unbody open source? Yes - both are open-source projects on GitHub (WeKnora: Other, unbody: Apache-2.0). ### Where can I find alternatives to WeKnora or unbody? GraphCanon lists graph-backed alternatives at [WeKnora alternatives](/tools/tencent-weknora/alternatives) and [unbody alternatives](/tools/unbody-io-unbody/alternatives) ([WeKnora markdown twin](/tools/tencent-weknora/alternatives.md), [unbody markdown twin](/tools/unbody-io-unbody/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/tencent-weknora-vs-unbody-io-unbody.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, WeKnora or unbody? WeKnora: Very active. unbody: Steady. 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 WeKnora and unbody? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [WeKnora trust report](/tools/tencent-weknora/trust); [unbody trust report](/tools/unbody-io-unbody/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tencent-weknora`](/api/graphcanon/graph?tool=tencent-weknora) - 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/_