Gather and synthesize knowledge autonomously
Research agents collect information across dozens of sources over days or weeks. With Headkey, findings are distilled into searchable memories, hypotheses tracked as beliefs with confidence, and sources connected in a knowledge graph.
Three Primitives, One Cognitive Architecture
Each primitive serves a different purpose. Here's how they work for this use case.
Memories
Distill findings from every source
The agent extracts key facts from papers, articles, and databases and stores them with tags and importance levels for later retrieval.
{
"content": "Transformer attention scales O(n²) with sequence length. Flash Attention reduces this to O(n) memory.",
"tags": [
"attention",
"performance"
],
"importance": "high"
}Beliefs
Track hypotheses with confidence
"Transformer architectures outperform RNNs for long-context tasks" starts at 0.7 confidence and strengthens as more evidence is found — or gets superseded by contradicting evidence.
{
"statement": "Transformers outperform RNNs for long-context tasks",
"confidence": 0.7,
"subject": "Transformers",
"object": "long-context tasks"
}Relationships
Connect sources, concepts, and conclusions
The agent maps how papers cite each other, how concepts relate, and how evidence supports or contradicts hypotheses.
{
"subject": "Flash Attention Paper",
"object": "Efficient Transformers",
"predicate": "contributes to"
}Flat Memory vs. Structured Cognition
What changes when your agent has a mind, not just a vector store.
| Dimension | Flat Memory (RAG) | Headkey |
|---|---|---|
| Multi-session research | Starts from zero each session | Builds on weeks of accumulated findings |
| Contradicting sources | Returns all sources equally | Tracks belief confidence, detects conflicts |
| Source relationships | No concept of citations or links | Graph connects papers, concepts, evidence |
| Synthesis | Must re-read everything to summarize | Ask pulls memories + beliefs + entities at once |
See It in Action
A research agent that accumulates findings across sessions, tracks hypotheses with confidence, and maps how sources and concepts connect.
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