- Approval: re-prompt unknown answers (max 3), shell-only affirmative guidance recovery; destructive actions stay strict - GoalVerifier subagent with strict JSON verdicts, bounded follow-up rounds, nonzero exit plus open turn on unverified one-shots - Retrieval eval (Hit@K/MRR/nDCG/Context Precision), FTS cascade with title weighting, query/read event logging, --eval-retrieval CLI - Supervisor caps (8 parallel, 64 records) and scheduler hardening (4 fires/tick, per-schedule lease, stated misfire policy) - Sandbox box resource trio: 2g/2.0/256 at create, best-effort update for existing boxes, rm -f recovery pointer - Research archive: 12 subjects, 667 sources, 27 conclusions; suites 979 + 16 green
29 lines
1.1 KiB
Markdown
29 lines
1.1 KiB
Markdown
# Agent memory: episodic versus semantic representations
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## Metadata
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| Field | Value |
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| Institute | Molodetz Institute — Research & Retrieval Division |
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| Subject | prompt-context-scaling |
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| Document type | Source Citation Card |
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| Tier | 2 |
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| Source title | Agent memory: episodic versus semantic representations |
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| Source URL | https://github.com/metabuilder-labs/tokenjam-website/blob/HEAD/src/content/blog/2026-05-13-agent-memory.mdx |
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| Source type | blog post |
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| Date researched | 2026-10-18 |
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| Researched by | tai (agent), model: Muse Spark, on behalf of retoor |
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| Research method | Search aggregator result listing (not independently opened or quoted) |
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| Confidence | Not independently verified |
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| Status | Active |
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## Why it's here
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Surfaced by the memory-layer search; the snippet notes production systems blend episodic and semantic memory with vector plus graph representations. tai's events-plus-records split mirrors this without vectors; seen only as a snippet.
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## Changelog
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| Date | Change |
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| 2026-10-18 | Logged as consulted-but-not-analyzed. |
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