TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking explores TAME enhances agent memory trustworthiness by evolving separate executor and evaluator memories, preserving utility and safety.. Commercial viability score: 4/10 in Agent Safety and Memory.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisTIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM AgentsViability: 3.0
- Builds On ThisMEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM GamesViability: 3.0
- Higher ViabilityMemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-EvolutionViability: 7.0
- Higher ViabilityVehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle AgentsViability: 7.0
- Higher ViabilityAMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations