Comparison
composio vs quivr
composio (Build AI agents that turn intent into action) vs quivr (Opiniated RAG for integrating GenAI in your apps) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · composio alternatives · quivr alternatives
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Tagline
- composio
- Build AI agents that turn intent into action
- quivr
- Opiniated RAG for integrating GenAI in your apps
Stars
- composio
- 29k
- quivr
- 39k
Forks
- composio
- 4.6k
- quivr
- 3.7k
Open issues
- composio
- 67
- quivr
- 29
Language
- composio
- TypeScript
- quivr
- Python
Adopt for
- composio
- Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈
- quivr
- Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied
Persona
- composio
- -
- quivr
- -
Runtime
- composio
- -
- quivr
- -
License
- composio
- MIT
- quivr
- Other
Last pushed
- composio
- Jul 8, 2026
- quivr
- Jul 9, 2025
Categories
- composio
- AI Agents
- quivr
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- composio
- Very active (96%)
- quivr
- Slowing (36%)
Days since push
- composio
- 0d
- quivr
- 363d
Open issues (now)
- composio
- 67
- quivr
- 29
Security scan
- composio
- No criticals
- quivr
- No lockfile
Full report
- composio
- Trust report
- quivr
- Trust report
Typed relationship
composio alternative quivrBoth Quivr and Composio focus on building AI agents that can turn intent into action, providing a framework for integrating LLMs.
Shared compatibility
- Python · composio: Python runtime · quivr: Python runtime
Choose composio if…
- composio is primarily TypeScript; quivr is Python.
- License: composio is MIT, quivr is Other.
- Both Quivr and Composio focus on building AI agents that can turn intent into action, providing a framework for integrating LLMs.
- Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai.
- Also covers AI Agents.
- composio ships Docker support for self-hosted deployment.
- When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments.
When NOT to use composio
- If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools.
- When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages.
- For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages.
- If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发,而不是基础模型训练。
Choose quivr if…
- quivr is primarily Python; composio is TypeScript.
- License: quivr is Other, composio is MIT.
- Both Quivr and Composio focus on building AI agents that can turn intent into action, providing a framework for integrating LLMs.
- Tags unique to quivr: llm, ai, rag, vector.
- Also covers Data & Retrieval, LLM Frameworks.
- You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.
When NOT to use quivr
- If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch.
- When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs.
- Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.
Explore
composio trust report →quivr trust report →AI Agents category →Data & Retrieval category →LLM Frameworks category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between composio and quivr?
- composio: Build AI agents that turn intent into action. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories.
- When should I choose composio over quivr?
- Choose composio over quivr when composio is primarily TypeScript; quivr is Python; License: composio is MIT, quivr is Other; Both Quivr and Composio focus on building AI agents that can turn intent into action, providing a framework for integrating LLMs; Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai; Also covers AI Agents; composio ships Docker support for self-hosted deployment; When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments.
- When should I choose quivr over composio?
- Choose quivr over composio when quivr is primarily Python; composio is TypeScript; License: quivr is Other, composio is MIT; Both Quivr and Composio focus on building AI agents that can turn intent into action, providing a framework for integrating LLMs; Tags unique to quivr: llm, ai, rag, vector; Also covers Data & Retrieval, LLM Frameworks; You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.
- When should I avoid composio?
- If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发,而不是基础模型训练。
- When should I avoid quivr?
- If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.
- Is composio or quivr more popular on GitHub?
- quivr has more GitHub stars (39,190 vs 29,135). Stars measure visibility, not whether either tool fits your constraints.
- Are composio and quivr open source?
- Yes - both are open-source projects on GitHub (composio: MIT, quivr: Other).
- Where can I find alternatives to composio or quivr?
- GraphCanon lists graph-backed alternatives at /tools/composiohq-composio/alternatives and /tools/quivrhq-quivr/alternatives (/tools/composiohq-composio/alternatives.md, /tools/quivrhq-quivr/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/composiohq-composio-vs-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, composio or quivr?
- composio: Very active. quivr: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for composio and quivr?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: composio: /tools/composiohq-composio/trust; quivr: /tools/quivrhq-quivr/trust.