--- title: "agentset vs eclaire" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-eclaire-labs-eclaire" tools: ["agentset-ai-agentset", "eclaire-labs-eclaire"] --- # agentset vs eclaire *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick eclaire if eclaire is a local-first, self-hosted AI assistant designed for private data management and task automation. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 187 forks, and 16 open issues, last pushed Jul 16, 2026. [eclaire](https://eclaire.co) has 923 stars, 95 forks, and 2 open issues, last pushed May 14, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [eclaire's repository](https://github.com/eclaire-labs/eclaire). | | [agentset](/tools/agentset-ai-agentset.md) | [eclaire](/tools/eclaire-labs-eclaire.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Local-first self-hosted AI assistant for data and task management | | Stars | 2,092 | 923 | | Forks | 187 | 95 | | Open issues | 16 | 2 | | Language | TypeScript | TypeScript | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | Eclaire is a local-first, self-hosted AI assistant designed for private data management and task automation. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | Eclaire is available under the MIT License, permitting free modification and distribution while providing disclaimers on warranties. | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [eclaire](/tools/eclaire-labs-eclaire.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 65d | 128d | | Open issues (now) | 16 | 2 | | Stars delta | +57 (30d) | +28 (30d) | | Open issues delta | +3 (30d) | +1 (30d) | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/eclaire-labs-eclaire/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: eclaire - **Requirements:** Self-hosting setup will vary depending on user's local server capabilities. - **Adopt for:** Eclaire is a local-first, self-hosted AI assistant designed for private data management and task automation. - **License detail:** Eclaire is available under the MIT License, permitting free modification and distribution while providing disclaimers on warranties. ## Choose when ### Choose agentset if… - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose eclaire if… - Requirements: Self-hosting setup will vary depending on user's local server capabilities.. - Tags unique to eclaire: ai-assistant, document-processing, local-first, note-taking. - When you require a privately managed environment for all your notes and documents since Eclaire stores everything locally without sending it to the cloud. ## When NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## When NOT to use eclaire - When you do not want to manage server infrastructure for running the Eclaire software since it requires self-hosting capabilities and ongoing maintenance. - If your use case demands connectivity and synchronization across multiple devices over different networks, as Eclaire's local-first model might introduce limitations in accessibility. ## Common questions ### What is the difference between agentset and eclaire? agentset: The open-source RAG platform with built-in citations and support for deep research. eclaire: Local-first self-hosted AI assistant for data and task management. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over eclaire? Choose agentset over eclaire when Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose eclaire over agentset? Choose eclaire over agentset when Requirements: Self-hosting setup will vary depending on user's local server capabilities.; Tags unique to eclaire: ai-assistant, document-processing, local-first, note-taking; When you require a privately managed environment for all your notes and documents since Eclaire stores everything locally without sending it to the cloud. ### When should I avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### When should I avoid eclaire? When you do not want to manage server infrastructure for running the Eclaire software since it requires self-hosting capabilities and ongoing maintenance. If your use case demands connectivity and synchronization across multiple devices over different networks, as Eclaire's local-first model might introduce limitations in accessibility. ### Is agentset or eclaire more popular on GitHub? agentset has more GitHub stars (2,092 vs 923). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and eclaire open source? Yes - both are open-source projects on GitHub (agentset: MIT, eclaire: MIT). ### Where can I find alternatives to agentset or eclaire? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [eclaire alternatives](/tools/eclaire-labs-eclaire/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [eclaire markdown twin](/tools/eclaire-labs-eclaire/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 [this comparison](/compare/agentset-ai-agentset-vs-eclaire-labs-eclaire.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or eclaire? agentset: Steady. eclaire: 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 agentset and eclaire? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [eclaire trust report](/tools/eclaire-labs-eclaire/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_