Overlap
Memory & Evals for Multi-platform
Memory & Evals tools that run on Multi-platform. The Catch for each, not a winner list.
6 tools · the Catch, not a ranking
- Mem0Memory infrastructure for AI agents that actually persists
External dependency for a core capability. Async processing adds latency. Platform optimizations are not in the open-source SDK. You are trusting Mem0 with potentially sensitive user data.
- BraintrustEval-first LLM platform that blocks bad prompts in CI
Eval-first means observability is secondary—if your primary loop is debugging traces, look elsewhere. Learning curve to build eval datasets that actually represent production.
- LangfuseOpen-source LLM observability you can self-host
Self-hosting means self-operating—you are running Postgres, ClickHouse, Redis, and the app. Observability-first means evals are layered on, not central.
- LettaEpisodic memory for agents that think across sessions
More complex to reason about than simple vector retrieval. The paging mechanism adds latency and orchestration overhead. Documentation assumes understanding of the original MemGPT paper.
- PromptfooMIT LLM evals & red-teaming CLI; Community free, 10k probes/mo
Vs DeepEval/Braintrust: YAML/CLI-first, not pytest-native Python or Braintrust SaaS. LOUD: Community caps red-team probes (~10k/mo); Enterprise/On-Prem are contact-sales (SSO, dashboards, dedicated runner). LLM API costs are yours. Acquisition governance is a multi-year bet.
- GraphitiApache-2.0 temporal knowledge graphs for agent memory; Zep's OSS engine
Framework only — you run a graph DB + ops. Zep Community Edition deprecated; full Zep SaaS is separate (Free credits then Flex ~$104/mo billed annually). Not a drop-in chat history store. Schema/ops cost vs Mem0 Docker.