Home/Compare/agentset vs unstract

Comparison

agentset vs unstract

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 unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under.

Markdown twin · agentset alternatives · unstract alternatives

GraphCanon updated Oct 4, 2026

agentset logo

agentset

agentset-ai/agentset

★ 2.1kpushed Jul 16, 2026
vs
unstract logo

unstract

Zipstack/unstract

★ 7.2kpushed Sep 18, 2026

Trust & integrity

Signalagentsetunstract
Maintenance
Steady (65d since push)
As of Sep 20, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Oct 4, 2026 · 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
unstract
LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows

Stars

agentset
2.1k
unstract
7.2k

Forks

agentset
187
unstract
718

Open issues

agentset
16
unstract
95

Language

agentset
TypeScript
unstract
Python

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.
unstract
Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.

Persona

agentset
-
unstract
-

Runtime

agentset
-
unstract
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
unstract
AGPL-3.0

Last pushed

agentset
Jul 16, 2026
unstract
Sep 18, 2026

Categories

agentset
AI Agents, Data & Retrieval
unstract
Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

agentset
Steady (60%)
unstract
Very active (96%)

Days since push

agentset
65d
unstract
1d

Open issues (now)

agentset
16
unstract
95

Stars delta

agentset
+57 (30d)
unstract
+313 (30d)

Open issues delta

agentset
+3 (30d)
unstract
+7 (30d)

Full report

agentset
Trust report
unstract
Trust report

Choose agentset if…

  • agentset is primarily TypeScript; unstract is Python.
  • License: agentset is MIT, unstract is AGPL-3.0.
  • 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, embeddings, memory-management, rag.
  • 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 unstract if…

  • unstract is primarily Python; agentset is TypeScript.
  • License: unstract is AGPL-3.0, agentset is MIT.
  • Tags unique to unstract: data-engineering, document-ai, generative-ai, idp.
  • Also covers LLM Frameworks.
  • You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.

When NOT to use unstract

  • Your workflow strictly adheres to closed-source software management policies and requires proprietary control.
  • Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing.
  • Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.

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 · unstract 7.2k (synced Sep 20, 2026).

Common questions

What is the difference between agentset and unstract?
agentset: The open-source RAG platform with built-in citations and support for deep research. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose agentset over unstract?
Choose agentset over unstract when agentset is primarily TypeScript; unstract is Python; License: agentset is MIT, unstract is AGPL-3.0; 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, embeddings, memory-management, rag; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When should I choose unstract over agentset?
Choose unstract over agentset when unstract is primarily Python; agentset is TypeScript; License: unstract is AGPL-3.0, agentset is MIT; Tags unique to unstract: data-engineering, document-ai, generative-ai, idp; Also covers LLM Frameworks; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
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 unstract?
Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
Is agentset or unstract more popular on GitHub?
unstract has more GitHub stars (7,245 vs 2,092). Stars measure visibility, not whether either tool fits your constraints.
Are agentset and unstract open source?
Yes - both are open-source projects on GitHub (agentset: MIT, unstract: AGPL-3.0).
Where can I find alternatives to agentset or unstract?
GraphCanon lists graph-backed alternatives at agentset alternatives and unstract alternatives (agentset markdown twin, unstract 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 unstract?
agentset: Steady. unstract: Very active. 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 unstract?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; unstract trust report.

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