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.