Comparison
mengram vs awesome
Verdict
Pick mengram when license: mengram is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, mengram is Apache-2.0.
Markdown twin · mengram alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mengram | awesome |
|---|---|---|
| Maintenance | Active (24d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal 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.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- mengram
- 183
- awesome
- 484k
Forks
- mengram
- 26
- awesome
- 36k
Open issues
- mengram
- 20
- awesome
- 92
Language
- mengram
- Python
- awesome
- -
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.
- awesome
- -
Persona
- mengram
- -
- awesome
- -
Runtime
- mengram
- -
- awesome
- -
License
- mengram
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- mengram
- Jun 17, 2026
- awesome
- Jun 30, 2026
Categories
- mengram
- AI Agents, Evaluation & Observability
- awesome
- LLM Frameworks
Trust and health
Days since push
- mengram
- 24d
- awesome
- 11d
Open issues (now)
- mengram
- 20
- awesome
- 92
Security scan
- mengram
- 23 low (23 low)
- awesome
- No lockfile
Full report
- mengram
- Trust report
- awesome
- Trust report
Choose mengram if…
- License: mengram is Apache-2.0, awesome is CC0-1.0.
- Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture.
- Also covers AI Agents, 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.
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 (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mengram 183 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between mengram and awesome?
- mengram: Human-like memory for AI agents — semantic, episodic & procedural.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose mengram over awesome?
- Choose mengram over awesome when License: mengram is Apache-2.0, awesome is CC0-1.0; Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture; Also covers AI Agents, 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 awesome over mengram?
- Choose awesome over mengram when License: awesome is CC0-1.0, mengram is Apache-2.0; Tags unique to awesome: awesome-list, resources; Also covers LLM Frameworks.
- 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 awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is mengram or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 183). Stars measure visibility, not whether either tool fits your constraints.
- Are mengram and awesome open source?
- Yes - both are open-source projects on GitHub (mengram: Apache-2.0, awesome: CC0-1.0).
- Where can I find alternatives to mengram or awesome?
- GraphCanon lists graph-backed alternatives at mengram alternatives and awesome alternatives (mengram markdown twin, awesome 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 awesome?
- mengram: Active. awesome: 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 awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mengram trust report; awesome trust report.