Compare approaches
Different tools solve different parts of the experience problem.
Compare how AI products approach memory, reusable instructions, context, feedback, and portability.
On small screens, scroll the table horizontally to compare all columns.
| Capability | ChatGPT | Claude | Supermemory | AgentExpera's focus |
|---|---|---|---|---|
| Memory and context | Memory can use saved details and past chats, with controls and availability depending on the account and settings. | Memory and chat search can help carry relevant context into later conversations. | Provides memory and retrieval infrastructure for storing and retrieving user or agent context. | Connect task context to the method and circumstances that give an experience meaning. |
| Reusable instructions or skills | Custom Instructions and Projects provide ways to tailor recurring work and keep related context together. | Projects organize work; Agent Skills package reusable instructions and resources for supported Claude workflows. | Focuses on memory and context retrieval rather than a general packaged task-skill format. | Shape reusable methods as experiences that carry their context, rationale, and evidence. |
| Decision rationale and provenance | Project files and conversation context can support continuity; explicit provenance depends on how work is recorded. | Projects and conversation history provide context; a structured rationale record depends on the workflow. | Stored context can be retrieved; provenance depends on what is ingested and retained by an integration. | Keep decision rationale, assumptions, and supporting evidence connected to the experience. |
| Outcome feedback | Users can give feedback and adjust instructions; an outcome-evaluation loop depends on the workflow. | Users can refine project instructions and skills; outcome evaluation depends on the workflow and tools. | Memory-management and retrieval APIs support context operations; task outcome evaluation is a separate workflow. | Use observed outcomes to inform considered improvements to an experience. |
| Versioning and evaluation | Available history and configuration controls vary by feature; they are not a universal task-experience version history. | Project and skill management support reusable setup; formal outcome-linked versions depend on external workflow. | Memory review and updates are supported; this is distinct from task-level experience version control. | Connect evaluation and revisions so the reasoning behind changes remains clear. |
| Cross-system portability | Customizations and memory are managed within ChatGPT features and supported integrations. | Skills use documented formats and supported Claude runtimes; compatibility is runtime-dependent. | APIs and integrations can connect memory to supported applications; this is not a universal experience-execution format. | Build reusable AI experiences designed for compatible AI systems. |
| Independent experience lifecycle | Projects and GPTs organize reusable work within ChatGPT. | Projects and Agent Skills provide reusable structures within supported Claude workflows. | Memory records and retrieval are managed through its service and connected workflows. | Treat the experience as a reusable unit that can inform work beyond one conversation. |
| User control and export | Memory and data controls are documented; export and sharing behavior varies by feature. | Project and skill controls depend on the Claude product and workflow; consult the feature documentation. | Memory can be managed through documented APIs; operations depend on the integration and configuration. | Make context and rationale central to how reusable experiences are understood and reviewed. |
This high-level comparison summarizes different product approaches. Feature availability can vary by plan, settings, integration, and release; vendor documentation is linked below.
Looking for the difference between memory and retrieval-augmented generation? Read our AI agent memory vs. RAG guide.
OpenAI / ChatGPT sources
Anthropic / Claude sources
Supermemory sources
Explore the experience model.
See how structured context and decision rationale fit into the AgentExpera approach.