Comparison
OpenMemory vs llm-app
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; pick llm-app if llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz.
Markdown twin · OpenMemory alternatives · llm-app alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | OpenMemory | llm-app |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (41d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- OpenMemory
- Local persistent memory store for LLM applications
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- OpenMemory
- 4.5k
- llm-app
- 59k
Forks
- OpenMemory
- 501
- llm-app
- 1.5k
Open issues
- OpenMemory
- 18
- llm-app
- 8
Language
- OpenMemory
- TypeScript
- llm-app
- Jupyter Notebook
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- OpenMemory
- -
- llm-app
- -
Runtime
- OpenMemory
- -
- llm-app
- -
License
- OpenMemory
- Apache-2.0
- llm-app
- MIT
Last pushed
- OpenMemory
- Aug 20, 2026
- llm-app
- Jul 5, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- OpenMemory
- Very active (96%)
- llm-app
- Steady (60%)
Days since push
- OpenMemory
- 0d
- llm-app
- 41d
Open issues (now)
- OpenMemory
- 18
- llm-app
- 8
Stars delta
- OpenMemory
- +100 (30d)
- llm-app
- +11 (30d)
Open issues delta
- OpenMemory
- +5 (30d)
- llm-app
- -2 (30d)
Full report
- OpenMemory
- Trust report
- llm-app
- Trust report
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; llm-app is Jupyter Notebook.
- License: OpenMemory is Apache-2.0, llm-app is MIT.
- Tags unique to OpenMemory: ai-agents, embeddings, long-term-memory, memory-engine.
- OpenMemory ships Docker support for self-hosted deployment.
- Need to integrate persistent memory support for specific LLMs like Claude.
When NOT to use OpenMemory
- Require cloud-based memory storage services.
- Your project must use languages other than TypeScript.
- Seek a generic vector database without specific LLM integrations.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; OpenMemory is TypeScript.
- License: llm-app is MIT, OpenMemory is Apache-2.0.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers LLM Frameworks.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (CaviraOSS/OpenMemory) · observed Aug 21, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Aug 21, 2026
- Last push (CaviraOSS/OpenMemory) · observed Aug 20, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Aug 16, 2026
- GitHub forks (pathwaycom/llm-app) · observed Aug 16, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenMemory 4.5k · llm-app 59k (synced Aug 21, 2026).
Common questions
- What is the difference between OpenMemory and llm-app?
- OpenMemory: Local persistent memory store for LLM applications. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over llm-app?
- Choose OpenMemory over llm-app when OpenMemory is primarily TypeScript; llm-app is Jupyter Notebook; License: OpenMemory is Apache-2.0, llm-app is MIT; Tags unique to OpenMemory: ai-agents, embeddings, long-term-memory, memory-engine; OpenMemory ships Docker support for self-hosted deployment; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose llm-app over OpenMemory?
- Choose llm-app over OpenMemory when llm-app is primarily Jupyter Notebook; OpenMemory is TypeScript; License: llm-app is MIT, OpenMemory is Apache-2.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers LLM Frameworks; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid OpenMemory?
- Require cloud-based memory storage services. Your project must use languages other than TypeScript. Seek a generic vector database without specific LLM integrations.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is OpenMemory or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,037 vs 4,457). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and llm-app open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, llm-app: MIT).
- Where can I find alternatives to OpenMemory or llm-app?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and llm-app alternatives (OpenMemory markdown twin, llm-app 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, OpenMemory or llm-app?
- OpenMemory: Very active. llm-app: 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 OpenMemory and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; llm-app trust report.