:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
open-source agentic AI data assistant for the next generation of AI + Data products.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
- bigquery
- duckdb
- llm
- postgresql
An open source extension that connects AI agents to computational notebooks in JupyterLab.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Data API Framework for AI Agents and Data Apps
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python
A Consistent Data Visualizer for Agents and Humans
Autonomous multi-agent framework to optimize scientific software
- acceleration
- agentic-ai
- ai-agents
- bioinformatics
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
- collaborative-editing
- conflict-resolution
- crdt
- data-engineering