Comparison
mengram vs anything-llm
Verdict
Pick mengram if mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw; pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments.
Markdown twin · mengram alternatives · anything-llm alternatives
GraphCanon updated today
Trust & integrity
| Signal | mengram | anything-llm |
|---|---|---|
| Maintenance | Active (24d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 23 low (23 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- mengram
- Human-like memory for AI agents — semantic, episodic & procedural.
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- mengram
- 183
- anything-llm
- 63k
Forks
- mengram
- 26
- anything-llm
- 6.9k
Open issues
- mengram
- 20
- anything-llm
- 320
Language
- mengram
- Python
- anything-llm
- JavaScript
Adopt for
- mengram
- Mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw.
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- mengram
- -
- anything-llm
- -
Runtime
- mengram
- -
- anything-llm
- -
License
- mengram
- Apache-2.0
- anything-llm
- MIT
Last pushed
- mengram
- Jun 17, 2026
- anything-llm
- Jul 11, 2026
Categories
- mengram
- AI Agents, Evaluation & Observability
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Maintenance
- mengram
- Active (82%)
- anything-llm
- Very active (96%)
Days since push
- mengram
- 24d
- anything-llm
- 0d
Open issues (now)
- mengram
- 20
- anything-llm
- 320
Owner type
- mengram
- User
- anything-llm
- Organization
Security scan
- mengram
- 23 low (23 low)
- anything-llm
- No lockfile
Full report
- mengram
- Trust report
- anything-llm
- Trust report
Choose mengram if…
- mengram is primarily Python; anything-llm is JavaScript.
- License: mengram is Apache-2.0, anything-llm is MIT.
- Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture.
- Also covers Evaluation & Observability.
- mengram ships Docker support for self-hosted deployment.
- Use Mengram if your project requires a comprehensive suite of human-like memory capabilities (semantic, episodic, procedural) for AI agents.
When NOT to use mengram
- Avoid Mengram if your project focuses solely on a specific type of memory (e.g., only semantic) and requires more specialized functionality not provided by Mengram.
- Mengram might be less appealing if direct terminal access is preferred over the provided one-prompt setup method, which some users might deem as more complex or cumbersome.
Choose anything-llm if…
- anything-llm is primarily JavaScript; mengram is Python.
- License: anything-llm is MIT, mengram is Apache-2.0.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
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 Jul 11, 2026
- GitHub forks (alibaizhanov/mengram) · observed Jul 11, 2026
- Last push (alibaizhanov/mengram) · observed Jun 17, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mengram 183 · anything-llm 63k (synced Jul 11, 2026).
Common questions
- What is the difference between mengram and anything-llm?
- mengram: Human-like memory for AI agents — semantic, episodic & procedural.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose mengram over anything-llm?
- Choose mengram over anything-llm when mengram is primarily Python; anything-llm is JavaScript; License: mengram is Apache-2.0, anything-llm is MIT; Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture; Also covers Evaluation & Observability; mengram ships Docker support for self-hosted deployment; Use Mengram if your project requires a comprehensive suite of human-like memory capabilities (semantic, episodic, procedural) for AI agents.
- When should I choose anything-llm over mengram?
- Choose anything-llm over mengram when anything-llm is primarily JavaScript; mengram is Python; License: anything-llm is MIT, mengram is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I avoid mengram?
- Avoid Mengram if your project focuses solely on a specific type of memory (e.g., only semantic) and requires more specialized functionality not provided by Mengram. Mengram might be less appealing if direct terminal access is preferred over the provided one-prompt setup method, which some users might deem as more complex or cumbersome.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- Is mengram or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 183). Stars measure visibility, not whether either tool fits your constraints.
- Are mengram and anything-llm open source?
- Yes - both are open-source projects on GitHub (mengram: Apache-2.0, anything-llm: MIT).
- Where can I find alternatives to mengram or anything-llm?
- GraphCanon lists graph-backed alternatives at mengram alternatives and anything-llm alternatives (mengram markdown twin, anything-llm 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 anything-llm?
- mengram: Active. anything-llm: 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 anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mengram trust report; anything-llm trust report.