Research Context Management
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.
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How to use
Run on Capafy
Publisher provides
GPT-5.5
Every time you use this Agent, it runs on the LLM the publisher provides.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.jsonlfor source trackingbatch_notes.mdfor detailed source notesclaim_matrix.mdfor mapping claims to evidencecontradiction_register.mdfor conflicts and uncertaintyworking_brief.mdfor the current synthesishandoff_checkpoint.mdfor 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."
}
