Synesis is a domain-specific language and compiler that transforms interpretive annotations into formally validated knowledge structures — auditable, portable, and ready for any analytical ecosystem.
SOURCE @author2026
description: Seaweed biofuels: macro-environmental scan.
epistemic_model: Strategic management, PESTEL
method: Conceptual analysis, literature review
END SOURCE
ITEM @author2026
text: Social acceptance shapes industry viability
beyond purely technological constraints.
note: Non-technological factors drive adoption
through the social acceptance pathway.
chain: Social_Acceptance -> SHAPES -> Industry_Viability
END ITEMNote-taking apps optimize for capture — but do not verify integrity across annotations. Reference managers organize citations with precision, but treat meaning as free text. Qualitative research platforms offer powerful visual coding, but keep data in proprietary formats that isolate knowledge from the ecosystems where analysis unfolds.
The fundamental problem is not storage. It is formalization. Not a new tool to replace the others — but a representation layer that connects them: human-readable, machine-processable, auditable by design. A language where human interpretation can be written by researchers, generated by AI, and verified by anyone.
Declare claims, sources, relations, and annotations in a plain-text DSL. Any editor. Any operating system. Fully under version control.
The Synesis compiler checks referential integrity, enforces template constraints, and flags unanchored claims before they propagate.
Output to graph databases, Jupyter Lab, MCP-compatible AI agents, JSON, MS-Excel, or CSV. Structured intelligence, interoperable by design.
Export directly to Neo4j. Knowledge relationships are first-class citizens.
Import compiled knowledge directly into notebooks. Query your claim graph alongside your data analysis.
Expose your knowledge base to MCP-compatible AI agents. Your structured insights become machine-readable intelligence.
JSON, MS-Excel, CSV, REFI-QDA — Synesis speaks the lingua franca of data interchange. No proprietary lock-in, ever.
Plain text files. Diff-friendly. Every analytical decision is tracked, auditable, and reversible. Science as it should be.
Export Zotero annotations directly as .syn SOURCE/ITEM blocks. Your reference library becomes the foundation of a structured knowledge base.
Native Language Server Protocol for .syn. Inline validation, autocomplete and navigation across large files — References, Codes and Relations in dedicated panels, with an integrated Graph Viewer.
Concordances and topical indexes tell you where a concept appears. Synesis goes further: with chain:, researchers and theologians build relational maps of passages — where Faith → PRESUPPOSES → Grace, or Revelation → ENABLES → Understanding — in plain text, auditable and exportable as a graph.
Corpora annotated by multiple researchers, partially AI-generated, verifiable by design. Synesis makes human interpretation accumulable, comparable and queryable — without sacrificing rigor.
Synesis is open source and currently in beta. The documentation is the best place to start.
Read the documentation