Comparison
memfree vs automem
Verdict
Pick memfree if memfree; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Markdown twin · memfree alternatives · automem alternatives
GraphCanon updated Sep 20, 2026
13views this month
vs
Trust & integrity
| Signal | memfree | automem |
|---|---|---|
| Maintenance | Steady (62d since push) As of Sep 7, 2026 · github_public_v1 | Active (9d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 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 Jul 11, 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
- memfree
- Hybrid AI Search Engine & AI Page Generator
- automem
- Graph-vector memory service for durable, relational AI assistant memory
Stars
- memfree
- 1.5k
- automem
- 813
Forks
- memfree
- 211
- automem
- 105
Open issues
- memfree
- 19
- automem
- 12
Language
- memfree
- TypeScript
- automem
- Python
Adopt for
- memfree
- memfree
- automem
- AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Persona
- memfree
- -
- automem
- -
Runtime
- memfree
- -
- automem
- -
License
- memfree
- MIT
- 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
- memfree
- Jul 6, 2026
- automem
- Sep 10, 2026
Categories
- memfree
- Data & Retrieval, Vector Databases
- automem
- AI Agents, Vector Databases
Trust and health
Maintenance
- memfree
- Steady (60%)
- automem
- Active (82%)
Days since push
- memfree
- 62d
- automem
- 9d
Open issues (now)
- memfree
- 19
- automem
- 12
Stars delta
- memfree
- -3 (30d)
- automem
- +20 (30d)
Open issues delta
- memfree
- +2 (30d)
- automem
- +1 (30d)
Full report
- memfree
- Trust report
- automem
- Trust report
Choose memfree if…
- memfree is primarily TypeScript; automem is Python.
- Pricing: Open-Source under MIT License, but commercial support might come with additional costs.
- Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation..
- Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector.
- Also covers Data & Retrieval.
- When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying.
When NOT to use memfree
- When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods.
- If you do not need an integrated page generator as part of your AI search capabilities.
Choose automem if…
- automem is primarily Python; memfree 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 AI Agents.
- 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 (memfreeme/memfree) · observed Sep 20, 2026
- GitHub forks (memfreeme/memfree) · observed Sep 20, 2026
- Last push (memfreeme/memfree) · observed Jul 6, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (verygoodplugins/automem) · observed Sep 20, 2026
- GitHub forks (verygoodplugins/automem) · observed Sep 20, 2026
- Last push (verygoodplugins/automem) · observed Sep 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: memfree 1.5k · automem 813 (synced Sep 20, 2026).
Common questions
- What is the difference between memfree and automem?
- memfree: Hybrid AI Search Engine & AI Page Generator. 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 memfree over automem?
- Choose memfree over automem when memfree is primarily TypeScript; automem is Python; Pricing: Open-Source under MIT License, but commercial support might come with additional costs; Requirements: Min 4 GB RAM; Requires Docker; Requires TypeScript for development or customization.; Best-suited for environments that can leverage serverless capabilities and React-based UI generation.; Tags unique to memfree: ai-search, hybrid-ai-search, page-generator, serverless-vector; Also covers Data & Retrieval; When you need a hybrid approach combining traditional indexing with vector-based searches for more efficient AI-powered querying.
- When should I choose automem over memfree?
- Choose automem over memfree when automem is primarily Python; memfree 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 AI Agents; 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 memfree?
- When your requirements strictly demand pure vector database solutions without the aid of traditional indexing methods. If you do not need an integrated page generator as part of your AI search 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 memfree or automem more popular on GitHub?
- memfree has more GitHub stars (1,505 vs 813). Stars measure visibility, not whether either tool fits your constraints.
- Are memfree and automem open source?
- Yes - both are open-source projects on GitHub (memfree: MIT, automem: MIT).
- Where can I find alternatives to memfree or automem?
- GraphCanon lists graph-backed alternatives at memfree alternatives and automem alternatives (memfree 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, memfree or automem?
- memfree: 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 memfree and automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memfree trust report; automem trust report.