· 3 items
arXiv ↗
Cache Engineering for Agents
- What
- Researchers released a new paper detailing advanced KV-cache engineering techniques for LLM agents.
- Why
- It directly targets the dominant cost and context limits of long-trajectory agent execution.
- Impact
- Optimize memory and token handling in your voice agent
arXiv ↗
Object-Oriented Harness: Evolving Agent Harnesses through Object-Orie…
- What
- Object-Oriented Harness (OO-Harness) introduces modular agent harnesses via object-oriented design.
- Why
- It solves the failure modes of monolithic global harnesses when tackling heterogeneous tasks.
- Impact
- Restructure your agent's code architecture for modularity
arXiv ↗
After the Attacker Leaves: Benchmarking Carryover Attacks on LLM Agen…
- What
- A study benchmarks carryover attacks on LLM agents using persistent memory and scheduled tasks.
- Why
- It exposes critical security risks in multi-session agent setups that maintain local state.
- Impact
- Secure persistent memory states in your app architecture