synthesize-agent-memory-landscape

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Use when asked to write or refresh a public cross-system synthesis from retained analyse-agentic-system results and their memory-comparison fields. Produces one snapshot-bound analysis; excludes legacy reviews and Commonplace transfer scans.

AI & Automation 88 stars 11 forks Updated yesterday CC-BY-4.0

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# Synthesize the agent-memory landscape Produce a public comparison whose numbers and qualitative findings come from one frozen population of main-analysis results. ## Inputs and authority Use the requested output, selected systems, and current or historical mode from the user request or invoking packet. A request to refresh a named artifact supplies its output authority. Without a file destination, return the synthesis in the response. Load the output collection's contract before writing there. The evidence inputs are generated reviews under `kb/agentic-systems/reviews/` and the exact retained results named by their `analysis-result` paths and `analysis-result-sha256` values. Read the full retained results for findings: source register, shared records, memory/context lens, reconciliation, and limits. The compact review supplies publication identity and navigation. It cannot replace a missing full result or comparison assessment. Use `kb/types/agentic-system-analysis-result.md` for the `memory-comparison` contract. Each row preserves its source revision, run, analysis cutoff, evidence tier, compared memory boundary, and per-axis assessment, basis, values, and canonical records. No legacy review, old CSV, transfer scan, or newly acquired source may supply or repair a finding. Missing required inputs block the selected population; report the main-analysis regeneration needed. Existing results must not be hand-patched to make a comparison pass. ## Freeze the evidence 1. *...

Details

Author
zby
Repository
zby/commonplace
Created
6 months ago
Last Updated
yesterday
Language
Python
License
CC-BY-4.0

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