Meta's ReActNet compiles a fresh agent topology per query, cutting 20-agent runs from 7h to 6min
blaizedsouza · x · 2026-09-13
Meta engineers' ReActNet eliminates the most expensive part of multi-agent systems: instead of training a communication topology, it compiles a fresh one for every query, dropping 20-agent runtimes from 7 hours to 6 minutes.
The pain point: 5 agents works fine, but 20 turns into a group chat that's slower than one model and costs more than the task is worth.
How it works — no RL, no gradients, no training stage:
- An LLM controller reads the query and the agent roster
- It compiles a sequence of directed graphs, one per reasoning stage
- Every edge carries a written instruction (e.g. "list boundary cases for this behavior")
- Each agent updates its state from its own previous state plus assigned neighbors
- A final node aggregates all states into the answer
Scores 92.75 average on gpt-4o benchmarks.
More from coding & agent
- Anthropic quietly ships server-side rule banning game rewrites in Claude Code — petrusenko_max · 2026-10-31
- Bootstrapping competitive edge with frontier tokens — curious_vii · 2026-10-31
- Element Forge: open-source editable AI VFX for real footage in ComfyUI — zitroffell · 2026-10-30
- Gym-Anything Adds Audit Agents That Try to Break Simulations With Legal Robot Actions — wellecks · 2026-10-30
- durable-object-migrator: zero-downtime exports for Cloudflare Durable Objects — samgoodwin89 · 2026-10-30
- This 5-question interview prompt makes Grok design your first two custom bots in minutes — nateliason · 2026-10-30