Home/Compare/agentset vs automem

Comparison

agentset vs automem

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 automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.

Markdown twin · agentset alternatives · automem alternatives

GraphCanon updated 3d

agentset logo

agentset

agentset-ai/agentset

2.1kpushed Jul 16, 2026
vs
automem logo

automem

verygoodplugins/automem

802pushed Aug 14, 2026

Trust & integrity

Signalagentsetautomem
Maintenance
Steady (36d since push)
As of 3d · github_public_v1
Active (7d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of 3d · 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
automem
Graph-vector memory service for durable, relational AI assistant memory

Stars

agentset
2.1k
automem
802

Forks

agentset
185
automem
102

Open issues

agentset
14
automem
15

Language

agentset
TypeScript
automem
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.
automem
AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.

Persona

agentset
-
automem
-

Runtime

agentset
-
automem
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
automem
AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met.

Last pushed

agentset
Jul 16, 2026
automem
Aug 14, 2026

Categories

agentset
AI Agents, Data & Retrieval
automem
AI Agents, Vector Databases

Trust and health

Maintenance

agentset
Steady (60%)
automem
Active (82%)

Days since push

agentset
36d
automem
7d

Open issues (now)

agentset
14
automem
15

Stars delta

agentset
+31 (30d)
automem
+9 (30d)

Open issues delta

agentset
+1 (30d)
automem
+4 (30d)

Full report

agentset
Trust report

Choose agentset if…

  • agentset is primarily TypeScript; automem is Python.
  • 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 Data & Retrieval.
  • - 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 automem if…

  • automem is primarily Python; agentset is TypeScript.
  • Pricing: Free for open-source use, with no explicit commercial licensing information provided..
  • Tags unique to automem: ai-memory, anthropic, falkordb, graph-database.
  • Also covers Vector Databases.
  • automem ships Docker support for self-hosted deployment.
  • Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.

When NOT to use automem

  • Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead.
  • If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.

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 · automem 802 (synced Aug 22, 2026).

Common questions

What is the difference between agentset and automem?
agentset: The open-source RAG platform with built-in citations and support for deep research. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories.
When should I choose agentset over automem?
Choose agentset over automem when agentset is primarily TypeScript; automem is Python; 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 Data & Retrieval; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When should I choose automem over agentset?
Choose automem over agentset when automem is primarily Python; agentset is TypeScript; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: ai-memory, anthropic, falkordb, graph-database; Also covers Vector Databases; automem ships Docker support for self-hosted deployment; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
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 automem?
Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
Is agentset or automem more popular on GitHub?
agentset has more GitHub stars (2,066 vs 802). Stars measure visibility, not whether either tool fits your constraints.
Are agentset and automem open source?
Yes - both are open-source projects on GitHub (agentset: MIT, automem: MIT).
Where can I find alternatives to agentset or automem?
GraphCanon lists graph-backed alternatives at agentset alternatives and automem alternatives (agentset markdown twin, automem 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 automem?
agentset: Steady. automem: 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 automem?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; automem trust report.

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