--- title: "mempalace vs RasaGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mempalace-mempalace-vs-paulpierre-rasagpt" tools: ["mempalace-mempalace", "paulpierre-rasagpt"] --- # mempalace vs RasaGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick mempalace when tags unique to mempalace: memory, llm, chromadb; pick RasaGPT when tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt. [mempalace](http://mempalaceofficial.com/) reports 57k GitHub stars, 7.4k forks, and 616 open issues, last pushed Jul 10, 2026. [RasaGPT](https://rasagpt.dev) has 2.5k stars, 251 forks, and 57 open issues, last pushed Nov 12, 2025. Figures are from public GitHub metadata via [mempalace's repository](https://github.com/MemPalace/mempalace) and [RasaGPT's repository](https://github.com/paulpierre/RasaGPT). | | [mempalace](/tools/mempalace-mempalace.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Tagline | The best-benchmarked open-source AI memory system. | 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram | | Stars | 57,215 | 2,464 | | Forks | 7,387 | 251 | | Open issues | 616 | 57 | | Language | Python | Python | | Adopt for | MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Model Training, Vector Databases | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mempalace](/tools/mempalace-mempalace.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 240d | | Open issues (now) | 616 | 57 | | Owner type | Organization | User | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/mempalace-mempalace/trust.md) | [trust report](/tools/paulpierre-rasagpt/trust.md) | ## Decision facts: mempalace - **Adopt for:** MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency. ## Choose when ### Choose mempalace if… - Tags unique to mempalace: memory, llm, chromadb. - When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs. - More GitHub stars (57k vs 2.5k) - visibility, not fit. ### Choose RasaGPT if… - Tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt. - Also covers LLM Frameworks. - Leaner open-issue backlog (57). ## When NOT to use mempalace - Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃 - "如果你的应用场景对内存管理层的完全透明或定制化需求不高，因为MemPalace是开源的，可能需要更深的技术介入来满足特定需求。" - If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements. ## When NOT to use RasaGPT - Last GitHub push was 241 days ago (slowing maintenance, Nov 12, 2025). Validate activity before betting a new project on RasaGPT. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - 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 mempalace and RasaGPT? mempalace: The best-benchmarked open-source AI memory system.. RasaGPT: 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram. See the comparison table for live GitHub stats and shared categories. ### When should I choose mempalace over RasaGPT? Choose mempalace over RasaGPT when Tags unique to mempalace: memory, llm, chromadb; When you need a highly benchmarked solution for managing AI model memories, MemPalace can provide superior performance due to its optimization features integrated specifically around ML model needs; More GitHub stars (57k vs 2.5k) - visibility, not fit. ### When should I choose RasaGPT over mempalace? Choose RasaGPT over mempalace when Tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt; Also covers LLM Frameworks; Leaner open-issue backlog (57). ### When should I avoid mempalace? Avoid if requiring a proprietary system where full transparency or customization of the memory management layer may not be necessary, since MemPalace is open source and might involve deeper technical啃 "如果你的应用场景对内存管理层的完全透明或定制化需求不高，因为MemPalace是开源的，可能需要更深的技术介入来满足特定需求。" If your project strictly adheres to non-MIT licenses, then MemPalace might not be suitable due to its MIT license which may conflict with licensing requirements. ### When should I avoid RasaGPT? Last GitHub push was 241 days ago (slowing maintenance, Nov 12, 2025). Validate activity before betting a new project on RasaGPT. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is mempalace or RasaGPT more popular on GitHub? mempalace has more GitHub stars (57,215 vs 2,464). Stars measure visibility, not whether either tool fits your constraints. ### Are mempalace and RasaGPT open source? Yes - both are open-source projects on GitHub (mempalace: MIT, RasaGPT: MIT). ### Where can I find alternatives to mempalace or RasaGPT? GraphCanon lists graph-backed alternatives at [mempalace alternatives](/tools/mempalace-mempalace/alternatives) and [RasaGPT alternatives](/tools/paulpierre-rasagpt/alternatives) ([mempalace markdown twin](/tools/mempalace-mempalace/alternatives.md), [RasaGPT markdown twin](/tools/paulpierre-rasagpt/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/mempalace-mempalace-vs-paulpierre-rasagpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mempalace or RasaGPT? mempalace: Very active. RasaGPT: Slowing. 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 mempalace and RasaGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mempalace trust report](/tools/mempalace-mempalace/trust); [RasaGPT trust report](/tools/paulpierre-rasagpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mempalace-mempalace`](/api/graphcanon/graph?tool=mempalace-mempalace) - 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/_