Comparison
localGPT vs ChatGLM-6B
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.
Markdown twin · localGPT alternatives · ChatGLM-6B alternatives
GraphCanon updated today
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Trust & integrity
| Signal | localGPT | ChatGLM-6B |
|---|---|---|
| Maintenance | Slowing (122d since push) As of today · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 44 low (44 low) As of today · osv@v1 | 75 low (75 low) As of today · osv@v1 |
Tagline
- 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
Stars
- localGPT
- 22k
- ChatGLM-6B
- 41k
Forks
- localGPT
- 2.5k
- ChatGLM-6B
- 5.1k
Open issues
- localGPT
- 25
- ChatGLM-6B
- 609
Language
- localGPT
- Python
- ChatGLM-6B
- Python
Adopt for
- localGPT
- localGPT allows users to chat with local documents using GPT models completely privately without internet access.
- ChatGLM-6B
- -
Persona
- localGPT
- -
- ChatGLM-6B
- -
Runtime
- localGPT
- -
- ChatGLM-6B
- -
License
- localGPT
- MIT
- ChatGLM-6B
- Apache-2.0
Last pushed
- localGPT
- Mar 10, 2026
- ChatGLM-6B
- Jun 27, 2024
Categories
- localGPT
- Data & Retrieval, Inference & Serving
- ChatGLM-6B
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- localGPT
- Slowing (36%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- localGPT
- 122d
- ChatGLM-6B
- 744d
Open issues (now)
- localGPT
- 25
- ChatGLM-6B
- 609
Owner type
- localGPT
- User
- ChatGLM-6B
- Organization
Security scan
- localGPT
- 44 low (44 low)
- ChatGLM-6B
- 75 low (75 low)
Full report
- localGPT
- Trust report
- ChatGLM-6B
- Trust report
Shared compatibility
- Python · localGPT: Python runtime · ChatGLM-6B: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (PromtEngineer/localGPT) · observed Jul 11, 2026
- GitHub forks (PromtEngineer/localGPT) · observed Jul 11, 2026
- Last push (PromtEngineer/localGPT) · observed Mar 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: localGPT 22k · ChatGLM-6B 41k (synced Jul 11, 2026).
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 and ChatGLM-6B alternatives (localGPT markdown twin, ChatGLM-6B markdown twin), 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 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; ChatGLM-6B trust report.