// Search & vector stores
quivrv1-final
An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.
Open source Maintained For agents
IN ONE PARAGRAPH
quivr is an open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it as the official guide describes.
- 3Tell your agent the command exists (e.g. in AGENTS.md / CLAUDE.md) so it knows when to call it.
02Alternatives & comparison
Compare side by side → onyx Open Source AI Platform - AI Chat with advanced features that works with every LLM ★ 33k GPTCache Semantic cache for LLMs. Fully integrated with LangChain and llama_index. ★ 8.2k meilisearch A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. ★ 60k llm-app Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. ★ 59k txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows ★ 13k
03Related
Versions, why it is listed, for AI to read
Recent releases
- v1-final 2026-10-04
For AI agents
- Interfaces：SDK
- Machine-readable record：/api/v1/software/quivr.json · llms.txt
- Added 2026-10-10 · updated 2026-10-22