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Research Context Management

Research Context Management

by: Spann
Research Context Management helps agents run long, evidence-heavy research without losing sources, claims, contradictions, or next steps. It builds a durable workspace with a source ledger, batch notes, claim matrix, contradiction register, working brief, and handoff checkpoint, so deep research, audits, market scans, and reports can be reviewed, resumed, and turned into reliable outputs with clearer evidence trails.
#리서치#분석#생산성
평점
더 많은 평가가 필요합니다
판매
1
사용 방법
Capafy에서 실행
외부 앱에서도 사용 가능
퍼블리셔 제공
GPT-5.5

Research Context Management

Research Context Management helps agents run long, evidence-heavy research without losing sources, claims, contradictions, or next steps in chat history.

It creates a durable research workspace with:

  • source_ledger.jsonl for source tracking
  • batch_notes.md for detailed source notes
  • claim_matrix.md for mapping claims to evidence
  • contradiction_register.md for conflicts and uncertainty
  • working_brief.md for the current synthesis
  • handoff_checkpoint.md for clean continuation across sessions

Best For

  • Deep research projects
  • Source-grounded reports
  • Conflicting evidence reviews
  • Long-running investigations
  • Research that needs handoff between agents, models, or sessions

Example Output

Source Ledger Entry

{
  "title": "Platform Documentation",
  "url": "https://example.com/docs",
  "publisher": "Example Platform",
  "access_date": "2026-05-28",
  "source_tier": "official",
  "key_claims": [
    "Defines the current API behavior",
    "Lists supported status values"
  ],
  "why_it_matters": "Primary source for platform behavior."
}

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