Letta
Platform for stateful agents with persistent memory (home of MemGPT) and Letta Code, a memory-first local coding agent.
Delv Safety Grade: B
Score 72/100 · assessed 2026-04-18
Letta (formerly MemGPT) is an open-source framework for building stateful AI agents with persistent memory, developed by a venture-backed startup. The project shows strong transparency with active GitHub development, comprehensive documentation, and standard PyPI distribution. However, as an autonomous agent framework, it carries inherent risks: agents can execute arbitrary code, access filesystems, and make external API calls based on their configuration. The maintainer is a relatively young startup (founded 2023) rather than an established vendor, presenting some organisational risk. The framework's power and flexibility mean security depends heavily on how users configure and deploy agents. No known security incidents, but the broad capabilities require careful deployment practices and understanding of agent behaviour.
Green flags
- Fully open source with active development and 12k+ GitHub stars
- Comprehensive documentation and transparent roadmap
- Standard PyPI distribution with semantic versioning
- Active community with responsive issue tracking
- Clear separation between OSS and commercial offerings
Red flags
- Autonomous agents can execute arbitrary Python code in user environment
- Framework enables filesystem access and modification by AI agents
- Relatively young startup (2023) as primary maintainer
- Agent memory persistence could retain sensitive data indefinitely
- External LLM calls may leak context to third-party providers
Permissions requested
Pricing
Platforms
Review
Pay for Letta if you need an agent that learns your work over time, not just per-session. Skip it if you want fire-and-forget task automation or don't have workflows that benefit from long-term memory.
Good at
- Persistent memory across sessions actually works, rare in this space
- Memory editing and pruning gives you control when the agent drifts
- Letta Code integrates memory with local coding, learns your codebase patterns
- Self-hostable OSS version, no vendor lock-in
- Freemium model is honest: free tier is genuinely usable
Watch out
- Memory can accumulate noise, requires manual pruning
- Slower than stateless agents because it retrieves and updates memory
- Memory management UI feels unfinished, not intuitive
- Less suited for one-off tasks where memory offers no advantage
- Documentation assumes familiarity with memory architectures
Use cases
- long-term memory agents
- personal assistants
- stateful workflows