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
Trust & integrity
| Signal | agentset | automem |
|---|---|---|
| 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
- automem
- 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 (agentset-ai/agentset) · observed Aug 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Aug 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (verygoodplugins/automem) · observed Aug 21, 2026
- GitHub forks (verygoodplugins/automem) · observed Aug 21, 2026
- Last push (verygoodplugins/automem) · observed Aug 14, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.