Letta

@Letta_AI

Building machines that learn.

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Letta
@Letta_AI
Oct 21
Introducing FrontierMemory: a new way to evaluate agent memory through downstream task performance. While existing memory benchmarks focus on recall (saturated via agentic search), FrontierMemory focuses on how agents learn from experience.
OpenAI and 2 others
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Letta
@Letta_AI
Nov 3
Article
Understanding how different models learn from agent experience
We recently released FrontierMemory, a benchmark that tests whether agents get better at tasks by learning from past trajectories. On the leaderboard, memory written by Opus 5.5 led to a 73.3%
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Letta
@Letta_AI
Oct 30
We've updated FrontierMemory to v1.1, with a larger 750-trajectory corpus that reduces reward hacking and includes a more balanced mix of sources. Opus 5.5 remains the strongest memory model, with open-weight models like DeepSeek V4.1 Flash, Kimi K3, and GLM-5.3 close behind.
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Letta
@Letta_AI
Oct 28
FrontierMemory is now on @FireworksAI_HQ's Specialized Intelligence Index. Picking a model for a long-running agent? You can now compare how well each one learns from its own past attempts, combined with cost. View FrontierMemory results under RSI: fireworks.ai/specialized-in…
Fireworks
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Letta
@Letta_AI
Oct 28
We've added GPT-6.1 Terra, Kimi K3.1 Pro and DeepSeek V4.1 Flash to the FrontierMemory leaderboard. Kimi K3.1 Pro ties Opus 5.5 and GLM-5.3 for #1, and DeepSeek V4.1 Flash beats GPT-6.1 Sol and Gemini 4 Argon, for a fraction of the cost.
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