Glossary · Subagents & Isolation

Subagents & Isolation.

Fresh windows for dirty work.

Direct answer

A subagent handles a focused task in its own clean context window and returns a 1–2K summary; the parent's working memory never sees the exploration sprawl. This Isolate strategy prevents context multiplication (full-history hand-offs that explode tokens and confuse children), enables parallel investigation, and is the standard treatment for research spikes, blast-radius analysis, and multi-file reconnaissance.

In Anvaya

How We Implement It.

01Subagents & IsolationAnvaya ships 4 subagent profiles with green panes, heartbeats, STALLED detection, and drill-down, plus swarm packs for multi-agent orchestration with merge gates.

Questions

Asked About Subagents & Isolation.

Q

What should I delegate vs do inline?

Delegate bounded research with clear return contracts (lists, summaries, verdicts). Keep tight edit loops inline where full context pays.

Q

How do subagents save tokens?

Tens of thousands of exploration tokens live and die in the child window; only the distilled summary enters the parent. Per delegation, often 10–20x.

Q

What is context multiplication?

Passing full parent history into children (and grandchildren), token explosion plus confusion from irrelevant history. Pass goals, not transcripts.

Run Agents That Fit On Your Laptop.

25.6 MB median RSS. 25 agents ran in parallel on a Core 2 Duo with 4 GB RAM. Hundreds on your machine. Zero cloud required on the Ollama path.

Requires Rust/cargo to build from source. Linux and macOS today, Windows not yet supported. Pre-1.0, public beta. Pricing TBD.