# Phase 5: Hindsight Memory Provider - Discussion Log > **Audit trail only.** Do not use as input to planning, research, or execution agents. > Decisions are captured in CONTEXT.md — this log preserves the alternatives considered. **Date:** 2026-06-14 **Phase:** 5-Hindsight Memory Provider **Areas discussed:** Hindsight mode, Memory integration, Migration strategy, Recall behavior, Retain frequency --- ## Hindsight Mode | Option | Description | Selected | |--------|-------------|----------| | Cloud | Send data to Hindsight Cloud API. Need account at ui.hindsight.vectorize.io. Zero local infra but external dependency + API cost. | | | Local Embedded | Hermes spins up local PostgreSQL daemon. Uses existing OpenRouter key for LLM extraction. No external data send. ~200MB download, daemon idles after 5 min. | ✓ | **User's choice:** Local Embedded **Notes:** Privacy preference — no external data send. Existing OpenRouter key reused. --- ## Memory Integration | Option | Description | Selected | |--------|-------------|----------| | Hybrid | Auto-inject relevant memories before each turn + expose 3 hindsight tools (retain, recall, reflect) to agent | ✓ | | Context | Auto-injection only, no tools exposed | | | Tools | Tools only, no auto-injection | | **User's choice:** Default (Hybrid) **Notes:** Wants agent to have both automatic context and on-demand search capability. --- ## Migration Strategy | Option | Description | Selected | |--------|-------------|----------| | No migration | Built-in and hindsight run in parallel. No data sync. Hindsight builds fresh knowledge graph. | ✓ | | One-shot seed | Manual migration script to port MEMORY.md contents into hindsight | | | Keep both fallback | Built-in as write-only fallback for critical facts | | **User's choice:** No migration needed **Notes:** Accepts that hindsight starts fresh. Built-in memory continues working in parallel. --- ## Recall Behavior **User's choice:** Agent discretion — with latency constraint **Agent's recommendation:** `recall_budget: low`, `recall_prefetch_method: recall` (raw fact search, no LLM synthesis), `auto_recall: true`, `recall_types: observation` (default) **Notes:** User wants responsive memory recall that doesn't add noticeable latency. Agent recommended fast-path settings accepted. --- ## Retain Frequency **User's choice:** Agent discretion — with latency constraint **Agent's recommendation:** `retain_async: true` (critical for latency), `retain_every_n_turns: 5` (80% overhead reduction), `auto_retain: true` **Notes:** User wants memory extraction without blocking the agent loop. Agent recommended async + batched retain settings accepted. --- ## the agent's Discretion - Bank configuration (bank_id, bank_mission, bank_retain_mission) — use defaults, planner can recommend tuning - Daemon startup and monitoring — standard Hermes daemon management ## Deferred Ideas None.