--- title: "DistiLlama vs WeKnora" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shreyaskarnik-distillama-vs-tencent-weknora" tools: ["shreyaskarnik-distillama", "tencent-weknora"] --- # DistiLlama vs WeKnora *GraphCanon updated Aug 18, 2026* ## Verdict Pick DistiLlama if distiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy; 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. [DistiLlama](https://github.com/shreyaskarnik/DistiLlama) reports 304 GitHub stars, 32 forks, and 9 open issues, last pushed Sep 2, 2024. [WeKnora](https://weknora.weixin.qq.com) has 20k stars, 2.9k forks, and 556 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [DistiLlama's repository](https://github.com/shreyaskarnik/DistiLlama) and [WeKnora's repository](https://github.com/Tencent/WeKnora). | | [DistiLlama](/tools/shreyaskarnik-distillama.md) | [WeKnora](/tools/tencent-weknora.md) | | --- | --- | --- | | Tagline | Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs | Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. | | Stars | 304 | 19,992 | | Forks | 32 | 2,877 | | Open issues | 9 | 556 | | Language | TypeScript | Go | | Adopt for | DistiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy. | 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 | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, LLM Frameworks | AI Agents, Evaluation & Observability, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DistiLlama](/tools/shreyaskarnik-distillama.md) | [WeKnora](/tools/tencent-weknora.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 709d | 2d | | Open issues (now) | 9 | 556 | | Stars delta | Unknown | +1.5k (30d) | | Open issues delta | Unknown | +145 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/shreyaskarnik-distillama/trust.md) | [trust report](/tools/tencent-weknora/trust.md) | ## Decision facts: DistiLlama - **Pricing:** freemium - DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models. - **Adopt for:** DistiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy. ## 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 ## Choose when ### Choose DistiLlama if… - DistiLlama is primarily TypeScript; WeKnora is Go. - License: DistiLlama is MIT, WeKnora is Other. - Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models.. - Tags unique to DistiLlama: chrome-extension, langchain, llama2, local-llm. - When you prioritize data privacy and prefer not to send sensitive information over the internet for processing. ### Choose WeKnora if… - WeKnora is primarily Go; DistiLlama is TypeScript. - License: WeKnora is Other, DistiLlama is MIT. - Pricing: Free and open-source under the MIT license.. - Tags unique to WeKnora: agent, agentic, ai, chatbot. - Also covers Evaluation & Observability, Vector Databases. - WeKnora ships Docker support for self-hosted deployment. - Use WeKnora if you prefer the Go (Golang) language ecosystem. ## When NOT to use DistiLlama - If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively. - When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance. ## 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. ## Common questions ### What is the difference between DistiLlama and WeKnora? DistiLlama: Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs. WeKnora: Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.. See the comparison table for live GitHub stats and shared categories. ### When should I choose DistiLlama over WeKnora? Choose DistiLlama over WeKnora when DistiLlama is primarily TypeScript; WeKnora is Go; License: DistiLlama is MIT, WeKnora is Other; Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models.; Tags unique to DistiLlama: chrome-extension, langchain, llama2, local-llm; When you prioritize data privacy and prefer not to send sensitive information over the internet for processing. ### When should I choose WeKnora over DistiLlama? Choose WeKnora over DistiLlama when WeKnora is primarily Go; DistiLlama is TypeScript; License: WeKnora is Other, DistiLlama is MIT; Pricing: Free and open-source under the MIT license.; Tags unique to WeKnora: agent, agentic, ai, chatbot; Also covers Evaluation & Observability, Vector Databases; WeKnora ships Docker support for self-hosted deployment; Use WeKnora if you prefer the Go (Golang) language ecosystem. ### When should I avoid DistiLlama? If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively. When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance. ### 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. ### Is DistiLlama or WeKnora more popular on GitHub? WeKnora has more GitHub stars (19,992 vs 304). Stars measure visibility, not whether either tool fits your constraints. ### Are DistiLlama and WeKnora open source? Yes - both are open-source projects on GitHub (DistiLlama: MIT, WeKnora: Other). ### Where can I find alternatives to DistiLlama or WeKnora? GraphCanon lists graph-backed alternatives at [DistiLlama alternatives](/tools/shreyaskarnik-distillama/alternatives) and [WeKnora alternatives](/tools/tencent-weknora/alternatives) ([DistiLlama markdown twin](/tools/shreyaskarnik-distillama/alternatives.md), [WeKnora markdown twin](/tools/tencent-weknora/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/shreyaskarnik-distillama-vs-tencent-weknora.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DistiLlama or WeKnora? DistiLlama: Dormant. WeKnora: 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 DistiLlama and WeKnora? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DistiLlama trust report](/tools/shreyaskarnik-distillama/trust); [WeKnora trust report](/tools/tencent-weknora/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shreyaskarnik-distillama`](/api/graphcanon/graph?tool=shreyaskarnik-distillama) - 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/_