Comparison
mengram vs MemOS
Verdict
Pick mengram if mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a; pick MemOS if memOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse.
Markdown twin · mengram alternatives · MemOS alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | mengram | MemOS |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 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
- mengram
- Human-like memory for AI agents
- MemOS
- Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse
Stars
- mengram
- 196
- MemOS
- 11k
Forks
- mengram
- 34
- MemOS
- 994
Open issues
- mengram
- 25
- MemOS
- 84
Language
- mengram
- Python
- MemOS
- TypeScript
Adopt for
- mengram
- mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a
- MemOS
- MemOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse across tasks.
Persona
- mengram
- -
- MemOS
- -
Runtime
- mengram
- -
- MemOS
- -
License
- mengram
- Apache-2.0
- MemOS
- MemOS is available under the Apache-2.0 license, allowing you to use it freely with certain conditions.
Last pushed
- mengram
- Sep 16, 2026
- MemOS
- Aug 18, 2026
Categories
- mengram
- AI Agents, Data & Retrieval
- MemOS
- AI Agents, Data & Retrieval
Trust and health
Days since push
- mengram
- 1d
- MemOS
- 0d
Open issues (now)
- mengram
- 25
- MemOS
- 84
Stars delta
- mengram
- +12 (30d)
- MemOS
- +497 (30d)
Open issues delta
- mengram
- -2 (30d)
- MemOS
- +4 (30d)
Owner type
- mengram
- User
- MemOS
- Organization
OSV dependency advisories
- mengram
- Published findings
- MemOS
- No lockfile (source not queried)
Full report
- mengram
- Trust report
- MemOS
- Trust report
Choose mengram if…
- mengram is primarily Python; MemOS is TypeScript.
- Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop.
- When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.
When NOT to use mengram
- If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary.
- If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server.
- For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial.
- If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.
Choose MemOS if…
- MemOS is primarily TypeScript; mengram is Python.
- Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs..
- Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components..
- Tags unique to MemOS: agent, agentic-ai, llm, long-term-memory.
- If you require ultra-persistent memory management within your application for long-term storage.
When NOT to use MemOS
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud).
- When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance.
- In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaizhanov/mengram) · observed Sep 20, 2026
- GitHub forks (alibaizhanov/mengram) · observed Sep 20, 2026
- Last push (alibaizhanov/mengram) · observed Sep 16, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (MemTensor/MemOS) · observed Sep 20, 2026
- GitHub forks (MemTensor/MemOS) · observed Sep 20, 2026
- Last push (MemTensor/MemOS) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mengram 196 · MemOS 11k (synced Sep 20, 2026).
Common questions
- What is the difference between mengram and MemOS?
- mengram: Human-like memory for AI agents. MemOS: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse. See the comparison table for live GitHub stats and shared categories.
- When should I choose mengram over MemOS?
- Choose mengram over MemOS when mengram is primarily Python; MemOS is TypeScript; Tags unique to mengram: agent-memory, ai-agents, ai-memory, claude-desktop; When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.
- When should I choose MemOS over mengram?
- Choose MemOS over mengram when MemOS is primarily TypeScript; mengram is Python; Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs.; Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components.; Tags unique to MemOS: agent, agentic-ai, llm, long-term-memory; If you require ultra-persistent memory management within your application for long-term storage.
- When should I avoid mengram?
- If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.
- When should I avoid MemOS?
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud). When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance. In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
- Is mengram or MemOS more popular on GitHub?
- MemOS has more GitHub stars (10,758 vs 196). Stars measure visibility, not whether either tool fits your constraints.
- Are mengram and MemOS open source?
- Yes - both are open-source projects on GitHub (mengram: Apache-2.0, MemOS: Apache-2.0).
- Where can I find alternatives to mengram or MemOS?
- GraphCanon lists graph-backed alternatives at mengram alternatives and MemOS alternatives (mengram markdown twin, MemOS 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, mengram or MemOS?
- mengram: Very active. MemOS: 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 mengram and MemOS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mengram trust report; MemOS trust report.