--- title: "academic-research-skills vs automem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/imbad0202-academic-research-skills-vs-verygoodplugins-automem" tools: ["imbad0202-academic-research-skills", "verygoodplugins-automem"] --- # academic-research-skills vs automem *GraphCanon updated Jul 11, 2026* ## Verdict Pick academic-research-skills when license: academic-research-skills is Other, automem is MIT; pick automem when license: automem is MIT, academic-research-skills is Other. [academic-research-skills](https://buymeacoffee.com/crucify020v) reports 37k GitHub stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. [automem](https://automem.ai/) has 777 stars, 98 forks, and 12 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills) and [automem's repository](https://github.com/verygoodplugins/automem). | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Tagline | Academic Research Skills for Claude Code: research → write → review → revise → finalize | AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory: | | Stars | 37,300 | 777 | | Forks | 3,043 | 98 | | Open issues | 9 | 12 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Data & Retrieval, LLM Frameworks | LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [automem](/tools/verygoodplugins-automem.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 9 | 12 | | Owner type | User | Organization | | Full report | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | [trust report](/tools/verygoodplugins-automem/trust.md) | ## Choose when ### Choose academic-research-skills if… - License: academic-research-skills is Other, automem is MIT. - Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude. - Also covers Data & Retrieval. ### Choose automem if… - License: automem is MIT, academic-research-skills is Other. - Tags unique to automem: ai, ai-memory, anthropic, falkordb. - Also covers Vector Databases. ## When NOT to use academic-research-skills - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use automem - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between academic-research-skills and automem? academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. automem: AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:. See the comparison table for live GitHub stats and shared categories. ### When should I choose academic-research-skills over automem? Choose academic-research-skills over automem when License: academic-research-skills is Other, automem is MIT; Tags unique to academic-research-skills: academic-pipeline, academic-writing, ai-research, claude; Also covers Data & Retrieval. ### When should I choose automem over academic-research-skills? Choose automem over academic-research-skills when License: automem is MIT, academic-research-skills is Other; Tags unique to automem: ai, ai-memory, anthropic, falkordb; Also covers Vector Databases. ### When should I avoid academic-research-skills? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid automem? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is academic-research-skills or automem more popular on GitHub? academic-research-skills has more GitHub stars (37,300 vs 777). Stars measure visibility, not whether either tool fits your constraints. ### Are academic-research-skills and automem open source? Yes - both are open-source projects on GitHub (academic-research-skills: Other, automem: MIT). ### Where can I find alternatives to academic-research-skills or automem? GraphCanon lists graph-backed alternatives at [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) and [automem alternatives](/tools/verygoodplugins-automem/alternatives) ([academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md), [automem markdown twin](/tools/verygoodplugins-automem/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/imbad0202-academic-research-skills-vs-verygoodplugins-automem.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, academic-research-skills or automem? academic-research-skills: Very active. automem: 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 academic-research-skills and automem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust); [automem trust report](/tools/verygoodplugins-automem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=imbad0202-academic-research-skills`](/api/graphcanon/graph?tool=imbad0202-academic-research-skills) - 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/_