AgentOps vs LangGraph vs Letta vs Mem0
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
AgentOps
Session replay and cost tracking for AI agent debugging
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LangGraph
Open-source graph framework for durable, stateful AI agents
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Letta
Framework and cloud for building stateful AI agents with long-term mem...
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Mem0
A memory layer for AI agents that lets them remember users and past in...
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| RECATOOLS Score | 6.7 / 10 | 8.3 / 10 | 7 / 10 | 7.5 / 10 |
| Capability | — | — | ||
| Value for money | — | — | ||
| Ease of use | — | — | ||
| ASEAN readiness | — | — | ||
| API quality | — | — | ||
| Pricing | Freemium | Freemium | Freemium | Freemium |
| Free tier | — | — | Open-source framework (Apache-2.0) is free to self-host. | Open-source library (Apache-2.0) is free to self-host; managed cloud has a free starter tier. |
| Paid from | — | — | Letta Cloud paid usage-based plans for hosted agents. | Paid managed cloud plans for higher usage (usage-based). |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✗ | ✓ | ✓ | ✓ |
| Free to use | ✓ | ✓ | ✓ | ✓ |
| Users | — | — | — | 60K+ GitHub stars |
| Founded | 2023 | — | 2024 | 2023 |
| Maker | — | — | Charles Packer, Sarah Wooders | Taranjeet Singh, Deshraj Yadav |
| Verdict | Once an agent is doing more than one LLM call, you lose visibility fast — which step looped, which tool call blew the budget, why the output drifted. AgentOps addresses that directly with session replay, per-call cost an... |
LangGraph has genuine production mileage that most agent frameworks can only cite in a blog post: Klarna's customer-support assistant runs on it at 85 million users, Replit Agent's multi-step app-building flow is built o... |
What this is for: Building agents that keep persistent, self-managed memory and state across long-running interactions. Who this is for: Developers who need agents with durable memory rather than stateless prompt-and-re... |
What this is for: Adding long-term, personalized memory to AI agents and assistants so they recall users and prior context. Who this is for: Developers building agents, chatbots, or copilots that need persistence beyond... |
| Full review → | Full review → | Full review → | Full review → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.