Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Quelle
GitHub
Sprache
TypeScript
Domänen
Agenten, Skills und MCP, Cloud, Data Engineering, KI / LLM, Web / JavaScript
Einsatzzwecke
Retrieval-Augmented Generation (RAG), Workflows
Momentum55,17 Tage · Gemessen+0,17% relative Änderung
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Quelle
GitHub
Sprache
Rust
Domänen
Data Engineering
Momentum54,57 Tage · Gemessen+4,31% relative Änderung
Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
Quelle
GitHub
Sprache
TypeScript
Domänen
Data Engineering
Einsatzzwecke
Beobachtbarkeit
Momentum42,87 Tage · Gemessen+0,3% relative Änderung
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Quelle
GitHub
Sprache
Python
Domänen
Data Engineering
Einsatzzwecke
Retrieval-Augmented Generation (RAG), Workflows
Momentum42,37 Tage · Gemessen+0,24% relative Änderung