# Research Index

| Date | Topic | File | Key Findings |
|------|-------|------|--------------|
| 2026-03-04 | wshobson/agents deep dive (source-verified) | [2026-03-04-wshobson-deep-dive.md](2026-03-04-wshobson-deep-dive.md) | Plugin architecture (2-level discovery), agent frontmatter (5 fields verified), 3-tier model strategy (Opus/Sonnet/Haiku), progressive disclosure skills (single SKILL.md), TDD workflows (12 steps, 6 phases), Conductor (semantic revert, tracks), Agent Teams (file ownership, ACH), command format. 24+ source files fetched and verified. |
| 2026-03-04 | Memory/RAG landscape deep dive | [2026-03-04-memory-rag-landscape.md](2026-03-04-memory-rag-landscape.md) | Letta uses sqlite-vec internally; Letta=agent memory OS (server required, LLM cost per op), Chroma=too heavy (300MB+ deps, onnxruntime Python 3.13 risk), sqlite-vec=right for Phase 1 (280KB, zero deps, <10ms at iEvo scale); Letta as optional Phase 2 Docker sidecar |
