Research Agents

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.

See Demo Below

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.

rememberrecallforget
{
  "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outperform RNNs for long-context tasks" starts at 0.7 confidence and strengthens as more evidence is found — or gets superseded by contradicting evidence.

believebeliefs
{
  "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.

relateentities
{
  "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.

DimensionFlat Memory (RAG)Headkey
Multi-session researchStarts from zero each sessionBuilds on weeks of accumulated findings
Contradicting sourcesReturns all sources equallyTracks belief confidence, detects conflicts
Source relationshipsNo concept of citations or linksGraph connects papers, concepts, evidence
SynthesisMust re-read everything to summarizeAsk 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.

Step 1 of 5
> The agent stores a key finding from a research paper.
Tool Call: remember
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