Library/dashForked

agno-agi/dash

dash

Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation.

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Builder

Agno

agno-agi • startup

Stars

1,812

Using upstream star count

Forks

202

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Jan 30, 2026

Project creation date

README Summary

Dash is a self-learning data agent built in Python that provides contextually grounded answers through a sophisticated 6-layer context system. The project is inspired by OpenAI's internal implementation and focuses on creating an intelligent agent that can learn and adapt while maintaining strong contextual awareness. It appears to be designed for advanced data analysis and question-answering tasks with enhanced reasoning capabilities.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationMulti-Context Learning SystemsSelf-Learning Agent ArchitectureContext Grounding TechniquesData Agent DevelopmentLayered Context Processing

Taxonomy

AI Trends

Agentic AI Compound AI Systems Self-Learning Systems Context-Aware AI

Deployment Context

Self-hosted

Modalities

Text Tabular

Skill Areas

Retrieval-Augmented Generation Multi-Context Learning Systems Self-Learning Agent Architecture Context Grounding Techniques Data Agent Development Layered Context Processing

Use Cases

Contextual Data Question Answering Multi-Source Information Synthesis Self-Improving Data Analysis Context-Aware Information Retrieval

Recent Activity

Updated 1 months ago

7 Days

30 Days

90 Days

Quality

prototype

Quality: medium
Maturity: prototype

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Jan 30, 2026
Forked: Mar 13, 2026
Your last push: 1 months ago
Upstream last push: 20 days ago
Tracked since: Feb 16, 2026

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