Comparison
mempalace vs RasaGPT
Verdict
Pick mempalace when tags unique to mempalace: memory, llm, chromadb; pick RasaGPT when tags unique to RasaGPT: gpt-3, fastapi, gpt-4, chatgpt.
Markdown twin · mempalace alternatives · RasaGPT alternatives
GraphCanon updated today
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Trust & integrity
| Signal | mempalace | RasaGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (240d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- 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
Stars
- mempalace
- 57k
- RasaGPT
- 2.5k
Forks
- mempalace
- 7.4k
- RasaGPT
- 251
Open issues
- mempalace
- 616
- RasaGPT
- 57
Language
- mempalace
- Python
- RasaGPT
- Python
Adopt for
- mempalace
- MemPalace is an advanced open-source AI memory system that integrates with ChromaDB to optimize machine learning model memories and enhance data retrieval efficiency.
- RasaGPT
- -
Persona
- mempalace
- -
- RasaGPT
- -
Runtime
- mempalace
- -
- RasaGPT
- -
License
- mempalace
- MIT
- RasaGPT
- MIT
Last pushed
- mempalace
- Jul 10, 2026
- RasaGPT
- Nov 12, 2025
Categories
- mempalace
- Vector Databases, Model Training
- RasaGPT
- Vector Databases, LLM Frameworks, Model Training
Trust and health
Maintenance
- mempalace
- Very active (96%)
- RasaGPT
- Slowing (36%)
Days since push
- mempalace
- 0d
- RasaGPT
- 240d
Open issues (now)
- mempalace
- 616
- RasaGPT
- 57
Owner type
- mempalace
- Organization
- RasaGPT
- User
Security scan
- mempalace
- No MCP manifest
- RasaGPT
- No lockfile
Full report
- mempalace
- Trust report
- RasaGPT
- Trust report
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.
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.
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 RasaGPT
- Last GitHub push was 241 days ago (slowing maintenance, Nov 12, 2025). Validate activity before betting a new project on RasaGPT.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MemPalace/mempalace) · observed Jul 11, 2026
- GitHub forks (MemPalace/mempalace) · observed Jul 11, 2026
- Last push (MemPalace/mempalace) · observed Jul 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 (paulpierre/RasaGPT) · observed Jul 11, 2026
- GitHub forks (paulpierre/RasaGPT) · observed Jul 11, 2026
- Last push (paulpierre/RasaGPT) · observed Nov 12, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mempalace 57k · RasaGPT 2.5k (synced Jul 11, 2026).
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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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.
- 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 and RasaGPT alternatives (mempalace markdown twin, RasaGPT 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, 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; RasaGPT trust report.