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Knowledge Management
Organize information, libraries, metadata, collections and citations into a coherent local knowledge environment.
JASS DIGITAL LAB · FLAGSHIP PROJECT
Project Athena
Local-First Knowledge & Intelligence
A personal knowledge and intelligence system for organizing, retrieving, understanding and working with information — built around local-first computing, modular AI providers and measurable retrieval.
01 · THE IDEA
More than an AI assistant.
Athena is being developed as knowledge and intelligence infrastructure: a modular foundation where libraries, documents, retrieval, models, citations and workspace context can work together.
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Document Intelligence
Build a path from documents and source material toward structured, searchable and usable knowledge.
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Retrieval & RAG
Retrieve relevant knowledge before generation, with measurable retrieval quality and application-level boundaries.
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AI Provider Platform
Connect local and pluggable AI providers rather than locking the system to a single model or vendor.
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Workspace Intelligence
Bring context, projects, sessions and knowledge together into an environment prepared for intelligent workflows.
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Local & Private
Designed around local-first operation and user-controlled infrastructure wherever practical.
02 · ARCHITECTURE
A system built in layers.
Athena separates knowledge, intelligence and workspace concerns so each layer can evolve without turning the whole system into a monolith.
LIBRARY
Documents
Metadata
Citations
Collections
INTELLIGENCE
Retrieval
RAG
AI Providers
Local Models
WORKSPACE
Context
Projects
Sessions
UI
ATHENA CORE SERVICES
Ollama
LM Studio
Docling
Vector / Search
Provider Adapters
03 · ENGINEERING JOURNEY
Built incrementally.
Athena's roadmap is organized as engineering stages, allowing the foundation to stabilize before increasingly intelligent capabilities are exposed.
A15StabilizationStrengthen the foundation and establish a dependable baseline.
A16AI Provider PlatformIntroduce a modular boundary for local and pluggable AI providers.
A17AI Control CenterExpose provider and model control through a coherent application layer.
A18Document IntelligenceMove from source documents toward structured knowledge workflows.
A19Retrieval IntelligenceDevelop measurable retrieval and application-level retrieval services.
A20Workspace IntelligenceExpose context and workspace intelligence through the user interface.
A21Plugin EcosystemExtend Athena through controlled integrations and capabilities.
04 · MEASURED RETRIEVAL
Build it. Measure it. Improve it.
Athena's retrieval work includes a benchmark rather than relying only on feature descriptions.
25Benchmark questions
78Indexed documents
147Indexed chunks
60%Top-1 accuracy
88%Top-3 accuracy
96%Top-5 accuracy
0.731Mean reciprocal rank
145.10 msAverage latency
Benchmark baseline:
athena_core_v1.json
05 · ENGINEERING PHILOSOPHY
Library First.
Code Second.
Prefer user-controlled local infrastructure and offline-capable workflows.
Keep knowledge and processing under the user's control wherever practical.
Connect capable components through clean boundaries instead of rebuilding everything.
Use benchmarks, tests and engineering audits to guide development.
Keep providers, retrieval, documents and workspace capabilities replaceable and extensible.
06 · WHAT COMES NEXT
From knowledge to intelligent assistance.
Workspace Intelligence prepares the foundation for the next stage: turning Athena's knowledge, retrieval and context capabilities into a controlled assistant experience.
PROJECT ATHENA · JASS DIGITAL LAB