Making 64k Context Feel Like 300k with Recursive Agents
TigerConsistent · reddit · 2026-08-23
A user is exploring a recursive local agent architecture to bypass VRAM limits, using a 64k context model to handle tasks requiring 300k+ tokens.
Proposed Workflow:
- Main agent runs at 64k for speed.
- Spawns child agents for large documents, processing slices independently.
- Children can spawn further sub-children for massive tasks.
- Only findings/artifacts are returned to the parent, not full histories.
Key Questions:
- Which framework (e.g., Prime Agent, Hermes) handles this best with minimal custom plumbing?
- Can recursive decomposition be trusted to auto-detect and split oversized inputs?
- How close does this get to native long-context performance on decomposable tasks?
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