Home/Compare/agentset vs edit-mind

Comparison

agentset vs edit-mind

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 edit-mind if edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries.

Markdown twin · agentset alternatives · edit-mind alternatives

GraphCanon updated 3d

agentset logo

agentset

agentset-ai/agentset

2.1kpushed Jul 16, 2026
vs
edit-mind logo

edit-mind

IliasHad/edit-mind

1.8kpushed Jun 30, 2026

Trust & integrity

Signalagentsetedit-mind
Maintenance
Steady (36d since push)
As of 3d · github_public_v1
Steady (31d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

agentset
The open-source RAG platform with built-in citations and support for deep research
edit-mind
Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search

Stars

agentset
2.1k
edit-mind
1.8k

Forks

agentset
185
edit-mind
121

Open issues

agentset
14
edit-mind
15

Language

agentset
TypeScript
edit-mind
TypeScript

Adopt for

agentset
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.
edit-mind
Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries.

Persona

agentset
-
edit-mind
-

Runtime

agentset
-
edit-mind
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
edit-mind
Utilizes a specific license named the Edit Mind License, which is documented in the LICENSE.md file. Further details on this licensing must refer to the repository documentation.

Last pushed

agentset
Jul 16, 2026
edit-mind
Jun 30, 2026

Categories

agentset
AI Agents, Data & Retrieval
edit-mind
Computer Vision, Data & Retrieval

Trust and health

Days since push

agentset
36d
edit-mind
31d

Open issues (now)

agentset
14
edit-mind
15

Stars delta

agentset
+31 (30d)
edit-mind
Unknown

Open issues delta

agentset
+1 (30d)
edit-mind
Unknown

Owner type

agentset
Organization
edit-mind
User

Full report

agentset
Trust report
edit-mind
Trust report

Choose agentset if…

  • License: agentset is MIT, edit-mind is Other.
  • 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.
  • Also covers AI Agents.
  • - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.

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.

Choose edit-mind if…

  • License: edit-mind is Other, agentset is MIT.
  • Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems..
  • Tags unique to edit-mind: ai, computer-vision, face-recognition, ml.
  • Also covers Computer Vision.
  • edit-mind ships Docker support for self-hosted deployment.
  • The environment requires self-hosted operations without dependence on external servers or APIs.

When NOT to use edit-mind

  • The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support.
  • If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations.
  • This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentset 2.1k · edit-mind 1.8k (synced Aug 22, 2026).

Common questions

What is the difference between agentset and edit-mind?
agentset: The open-source RAG platform with built-in citations and support for deep research. edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. See the comparison table for live GitHub stats and shared categories.
When should I choose agentset over edit-mind?
Choose agentset over edit-mind when License: agentset is MIT, edit-mind is Other; 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; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When should I choose edit-mind over agentset?
Choose edit-mind over agentset when License: edit-mind is Other, agentset is MIT; Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.; Tags unique to edit-mind: ai, computer-vision, face-recognition, ml; Also covers Computer Vision; edit-mind ships Docker support for self-hosted deployment; The environment requires self-hosted operations without dependence on external servers or APIs.
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 edit-mind?
The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support. If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations. This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing.
Is agentset or edit-mind more popular on GitHub?
agentset has more GitHub stars (2,066 vs 1,764). Stars measure visibility, not whether either tool fits your constraints.
Are agentset and edit-mind open source?
Yes - both are open-source projects on GitHub (agentset: MIT, edit-mind: Other).
Where can I find alternatives to agentset or edit-mind?
GraphCanon lists graph-backed alternatives at agentset alternatives and edit-mind alternatives (agentset markdown twin, edit-mind markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, agentset or edit-mind?
agentset: Steady. edit-mind: Steady. 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 edit-mind?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; edit-mind trust report.

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