---
title: "RasaGPT vs claude-mem"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/paulpierre-rasagpt-vs-thedotmack-claude-mem"
tools: ["paulpierre-rasagpt", "thedotmack-claude-mem"]
---

# RasaGPT vs claude-mem

*GraphCanon updated Aug 18, 2026*

## Verdict

Pick RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex; pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.

[RasaGPT](https://rasagpt.dev) reports 2.5k GitHub stars, 250 forks, and 57 open issues, last pushed Nov 12, 2025. [claude-mem](https://claude-mem.ai) has 91k stars, 8.0k forks, and 200 open issues, last pushed Aug 17, 2026. Figures are from public GitHub metadata via [RasaGPT's repository](https://github.com/paulpierre/RasaGPT) and [claude-mem's repository](https://github.com/thedotmack/claude-mem).

| | [RasaGPT](/tools/paulpierre-rasagpt.md) | [claude-mem](/tools/thedotmack-claude-mem.md) |
| --- | --- | --- |
| Tagline | First headless LLM chatbot platform built on top of Rasa and Langchain | Persistent Context Across Sessions for Every Agent |
| Stars | 2,464 | 91,018 |
| Forks | 250 | 7,953 |
| Open issues | 57 | 200 |
| Language | Python | JavaScript |
| Adopt for | RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms. |
| Categories | AI Agents, Inference & Serving, Model Training | AI Agents, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [RasaGPT](/tools/paulpierre-rasagpt.md) | [claude-mem](/tools/thedotmack-claude-mem.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 268d | 0d |
| Open issues (now) | 57 | 200 |
| Stars delta | Unknown | +3.3k (30d) |
| Open issues delta | Unknown | -116 (30d) |
| Full report | [trust report](/tools/paulpierre-rasagpt/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) |

## Shared compatibility

- **Python**: [RasaGPT](/tools/paulpierre-rasagpt.md) - Python runtime; [claude-mem](/tools/thedotmack-claude-mem.md) - Python runtime

## Decision facts: RasaGPT

- **Adopt for:** RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.

## Decision facts: claude-mem

- **Requirements:** Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.
- **Adopt for:** claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity.
- **License detail:** Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms.

## Choose when

### Choose RasaGPT if…

- RasaGPT is primarily Python; claude-mem is JavaScript.
- License: RasaGPT is MIT, claude-mem is Apache-2.0.
- Tags unique to RasaGPT: ai, chatbot, fastapi, langchain.
- Also covers Model Training.
- When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.

### Choose claude-mem if…

- claude-mem is primarily JavaScript; RasaGPT is Python.
- License: claude-mem is Apache-2.0, RasaGPT is MIT.
- Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported..
- Tags unique to claude-mem: ai-agents, ai-memory, chromadb, claude.
- claude-mem ships an MCP server manifest.
- When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.

## When NOT to use RasaGPT

- For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions.
- Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.

## When NOT to use claude-mem

- When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate.
- If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow.

## Common questions

### What is the difference between RasaGPT and claude-mem?

RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories.

### When should I choose RasaGPT over claude-mem?

Choose RasaGPT over claude-mem when RasaGPT is primarily Python; claude-mem is JavaScript; License: RasaGPT is MIT, claude-mem is Apache-2.0; Tags unique to RasaGPT: ai, chatbot, fastapi, langchain; Also covers Model Training; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.

### When should I choose claude-mem over RasaGPT?

Choose claude-mem over RasaGPT when claude-mem is primarily JavaScript; RasaGPT is Python; License: claude-mem is Apache-2.0, RasaGPT is MIT; Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.; Tags unique to claude-mem: ai-agents, ai-memory, chromadb, claude; claude-mem ships an MCP server manifest; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents.

### When should I avoid RasaGPT?

For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.

### When should I avoid claude-mem?

When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow.

### Is RasaGPT or claude-mem more popular on GitHub?

claude-mem has more GitHub stars (91,018 vs 2,464). Stars measure visibility, not whether either tool fits your constraints.

### Are RasaGPT and claude-mem open source?

Yes - both are open-source projects on GitHub (RasaGPT: MIT, claude-mem: Apache-2.0).

### Where can I find alternatives to RasaGPT or claude-mem?

GraphCanon lists graph-backed alternatives at [RasaGPT alternatives](/tools/paulpierre-rasagpt/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([RasaGPT markdown twin](/tools/paulpierre-rasagpt/alternatives.md), [claude-mem markdown twin](/tools/thedotmack-claude-mem/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/paulpierre-rasagpt-vs-thedotmack-claude-mem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, RasaGPT or claude-mem?

RasaGPT: Slowing. claude-mem: Very active. 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 RasaGPT and claude-mem?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [RasaGPT trust report](/tools/paulpierre-rasagpt/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=paulpierre-rasagpt`](/api/graphcanon/graph?tool=paulpierre-rasagpt)
- 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/_
