Gemma 4 E2B as a multi-agent coordinator: task decomposition, tool-calling, multi-turn — it works
Wanted to see if Gemma 4 E2B could handle the coordinator role in a multi-agent setup — not just chat, but the actual hard part: take a goal, break it into a task graph, assign agents, call tools, and stitch results together. Short answer: it works. Tested with my framework open-multi-agent (TypeScript, open-source, Ollama via OpenAI-compatible API). What the coordinator has to do: Receive a natural language goal + agent roster Output a JSON task array (title, description, assignee, dependencies) Each agent executes with tool-calling (bash, file read/write) Coordinator synthesizes all results Quick note on E2B : "Effective 2B" — 2.3B effective params, 5.1B total. The extra ~2.8B is the embedding layer for 140+ language / multimodal support. So the actual compute is 2.3B. What I tested: Gav
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