Repos open source que usan fastembed
10 repos públicos que SeeRepo leyó usan fastembed. Se usa más con Tokio, Postgres y SQLite.
Se usa más con
- Tokio2 repos
- SQLite2 repos
- tiktoken2 repos
- hf-hub2 repos
- Postgres2 repos
sentence-transformers2 repos
tokenizers2 repos
- FastAPI2 repos
Los repos, por estrellas
- 2headroomlabs-ai/
headroom Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Python+2379.2 kIA 28.6%
- 3mem0ai/
mem0 The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Python+6168.7 kIA 3.6%
- 5can1357/
oh-my-pi ⌥ Coding agent with the IDE wired in. Built by Stencil Labs.
TypeScript+2638 kIA 0.6%
- 6airbytehq/
airbyte Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Kotlin+6622.3 kIA 5.3% - 7arc53/
DocsGPT Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Python+15618.4 kIA 0.3%
- 8MemoriLabs/
Memori Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Python+1217.4 kIA 2.5% - 9semantica-agi/
semantica Graph-Native Infrastructure for Context and Accountable AI Systems
Python+17014.5 kIA 10.1%
- 10handsomestWei/
patent-disclosure-skill 中国专利.skill:专利点挖掘与交底书(发明/实用/外观)编写,通俗解读专利,嗅探政策动向,辅助审查答复。
Python+513.3 k
Preguntas frecuentes
¿Cuál es el repo open source más popular que usa fastembed?
La prueba: odysseus-dev/odysseus en GitHub
¿Con qué otras tecnologías se usa fastembed?
¿En qué lenguajes están escritos los repos que usan fastembed?
¿Cuántos repos que usan fastembed tienen commits firmados por IA?
La prueba: los commits que firmó cada herramienta en headroomlabs-ai/headroom
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