--- title: "localGPT vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/promtengineer-localgpt-vs-zai-org-chatglm-6b" tools: ["promtengineer-localgpt", "zai-org-chatglm-6b"] --- # localGPT vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick localGPT when license: localGPT is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, localGPT is MIT. [localGPT](https://github.com/PromtEngineer/localGPT) reports 22k GitHub stars, 2.5k forks, and 25 open issues, last pushed Mar 10, 2026. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 609 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [localGPT's repository](https://github.com/PromtEngineer/localGPT) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [localGPT](/tools/promtengineer-localgpt.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | Chat with your documents locally using GPT models | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 22,202 | 41,035 | | Forks | 2,472 | 5,132 | | Open issues | 25 | 609 | | Language | Python | Python | | Adopt for | localGPT allows users to chat with local documents using GPT models completely privately without internet access. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Inference & Serving | Data & Retrieval, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [localGPT](/tools/promtengineer-localgpt.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 122d | 744d | | Open issues (now) | 25 | 609 | | Owner type | User | Organization | | Security scan | 44 low (44 low) | 75 low (75 low) | | Full report | [trust report](/tools/promtengineer-localgpt/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Shared compatibility - **Python**: [localGPT](/tools/promtengineer-localgpt.md) - Python runtime; [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) - Python runtime ## Decision facts: localGPT - **Requirements:** Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided. - **Adopt for:** localGPT allows users to chat with local documents using GPT models completely privately without internet access. ## Choose when ### Choose localGPT if… - License: localGPT is MIT, ChatGLM-6B is Apache-2.0. - Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.. - Tags unique to localGPT: docker support, document-chat, gpt models, local-inference. - Also covers Inference & Serving. - localGPT ships Docker support for self-hosted deployment. - When absolute privacy is required since no data leaves the user's local device. ### Choose ChatGLM-6B if… - License: ChatGLM-6B is Apache-2.0, localGPT is MIT. - Tags unique to ChatGLM-6B: python. - Also covers LLM Frameworks, Vector Databases. ## When NOT to use localGPT - If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online. - In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update. ## When NOT to use ChatGLM-6B - Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between localGPT and ChatGLM-6B? localGPT: Chat with your documents locally using GPT models. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories. ### When should I choose localGPT over ChatGLM-6B? Choose localGPT over ChatGLM-6B when License: localGPT is MIT, ChatGLM-6B is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Installation is currently tested only on macOS, though instructions for other operating systems are partially provided.; Tags unique to localGPT: docker support, document-chat, gpt models, local-inference; Also covers Inference & Serving; localGPT ships Docker support for self-hosted deployment; When absolute privacy is required since no data leaves the user's local device. ### When should I choose ChatGLM-6B over localGPT? Choose ChatGLM-6B over localGPT when License: ChatGLM-6B is Apache-2.0, localGPT is MIT; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Vector Databases. ### When should I avoid localGPT? If you need to work across multiple devices seamlessly because localGPT requires installation on each device and does not synchronize state online. In scenarios requiring frequent updates or model tuning from a cloud service; localGPT relies solely on locally available models which do not auto-update. ### When should I avoid ChatGLM-6B? Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is localGPT or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 22,202). Stars measure visibility, not whether either tool fits your constraints. ### Are localGPT and ChatGLM-6B open source? Yes - both are open-source projects on GitHub (localGPT: MIT, ChatGLM-6B: Apache-2.0). ### Where can I find alternatives to localGPT or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [localGPT alternatives](/tools/promtengineer-localgpt/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([localGPT markdown twin](/tools/promtengineer-localgpt/alternatives.md), [ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/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/promtengineer-localgpt-vs-zai-org-chatglm-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, localGPT or ChatGLM-6B? localGPT: Slowing. ChatGLM-6B: Dormant. 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 localGPT and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [localGPT trust report](/tools/promtengineer-localgpt/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=promtengineer-localgpt`](/api/graphcanon/graph?tool=promtengineer-localgpt) - 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/_