Genspark vs Letta
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Genspark if you want ai super agent that produces decks, sheets, sites, and even phone calls (Supervised agent, freemium); choose Letta if you want open-source framework for stateful ai agents with long-term memory (Supervised agent, freemium).
| Genspark | Letta | |
|---|---|---|
| What it is | AI Super Agent that produces decks, sheets, sites, and even phone calls | Open-source framework for stateful AI agents with long-term memory |
| Type | agent | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Free; Plus $19.99/mo (annual, credits) | freemium · Free (open source); Cloud Pro $20/mo + usage |
| Best for | consumers, smb, mid-market | developers |
| Deployment | saas | self-hosted, saas, api |
| Modalities | text, voice, browser, image, api | text, code, api |
| Models | model-agnostic, gpt, claude, gemini | model-agnostic, gpt, claude, open-source |
| Protocols | mcp | mcp, rest-api |
| Integrations | Slack, Salesforce, Microsoft Office, Google Workspace, GitHub | MCP servers, OpenAI, Anthropic, Ollama, custom tools |
| Capabilities | 5 documented | 4 documented |
Genspark
- +Produces finished, editable artifacts (decks, sheets, sites, calls) from one prompt
- +Model-agnostic mixture-of-agents routing with cross-model checking pitched as a hallucination reducer
- +Call For Me is a real, distinctive capability that acts in the physical world
- -Opaque credit consumption that burns fast
- -Uneven reliability: phone calling fails on complex IVR, is geographically limited, and public trust signals are mixed
Letta
- +Genuinely differentiated memory architecture (self-editing memory blocks from MemGPT research, not a RAG wrapper)
- +Open source under Apache-2.0, self-hostable, and model-agnostic, which avoids lock-in
- +Strong developer ergonomics: REST API, Python and TypeScript SDKs, and the ADE GUI with deep state visibility
- -Positioning has become muddy across research lab, stateful-agents platform, and a Letta Code coding agent
- -Real usage costs climb well beyond the $20 Pro tier once LLM token pass-through is counted
Which should you choose?
Genspark is ai super agent that produces decks, sheets, sites, and even phone calls, best for consumers, smb, mid-market. Letta is open-source framework for stateful ai agents with long-term memory, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Genspark and Letta profiles. Open either profile to review its evidence and last-reviewed date.