A developer released ALTK-Evolve, a long-term episodic memory subsystem that lets AI agents distill reusable guidelines from past interaction traces and inject only relevant ones at action time. Evalu…
IBM Research introduced consistency guidelines in its altk-evolve toolkit, built on a new Consistency Analyzer, to address a 24.4-point consistency gap in LLM agent reliability. A ReAct agent using GP…
IBM Research's ALT K-Evolve framework shows that the optimal amount of agentic memory varies by model capability, with strong models like DeepSeek-V3.2 (671B MoE) gaining +9.5 percentage points in tas…
IBM Research's ALTK-Evolve and ACE both enable LLM agents to learn from their own trajectories, but ALTK-Evolve uses fewer tokens by delivering only a small core of high-support guidelines plus task-s…