Comparison
mengram vs agents-from-scratch
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 agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
Markdown twin · mengram alternatives · agents-from-scratch alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | mengram | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Active (18d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Semantic, episodic, and procedural memory for AI agents, like human记忆被切断了，请稍后尝试重新生成。
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- mengram
- 184
- agents-from-scratch
- 954
Forks
- mengram
- 27
- agents-from-scratch
- 240
Open issues
- mengram
- 27
- agents-from-scratch
- 3
Language
- mengram
- Python
- agents-from-scratch
- Python
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.
- agents-from-scratch
- agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
Persona
- mengram
- -
- agents-from-scratch
- -
Runtime
- mengram
- -
- agents-from-scratch
- -
License
- mengram
- Apache-2.0
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- mengram
- Jul 30, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- mengram
- AI Agents, Evaluation & Observability
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- mengram
- Very active (96%)
- agents-from-scratch
- Active (82%)
Days since push
- mengram
- 3d
- agents-from-scratch
- 18d
Open issues (now)
- mengram
- 27
- agents-from-scratch
- 3
OSV dependency advisories
- mengram
- Published findings
- agents-from-scratch
- No lockfile (source not queried)
Full report
- mengram
- Trust report
- agents-from-scratch
- Trust report
Choose mengram if…
- License: mengram is Apache-2.0, agents-from-scratch is MIT.
- Tags unique to mengram: agent-memory, ai-memory, cognitive-architecture, episodic-memory.
- 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 agents-from-scratch if…
- License: agents-from-scratch is MIT, mengram is Apache-2.0.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework.
- Also covers Developer Tools.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
When NOT to use agents-from-scratch
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
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 Aug 2, 2026
- GitHub forks (alibaizhanov/mengram) · observed Aug 2, 2026
- Last push (alibaizhanov/mengram) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pguso/agents-from-scratch) · observed Aug 12, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Aug 12, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: mengram 184 · agents-from-scratch 954 (synced Aug 2, 2026).
Common questions
- What is the difference between mengram and agents-from-scratch?
- mengram: Semantic, episodic, and procedural memory for AI agents, like human记忆被切断了，请稍后尝试重新生成。. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mengram over agents-from-scratch?
- Choose mengram over agents-from-scratch when License: mengram is Apache-2.0, agents-from-scratch is MIT; Tags unique to mengram: agent-memory, ai-memory, cognitive-architecture, episodic-memory; 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 agents-from-scratch over mengram?
- Choose agents-from-scratch over mengram when License: agents-from-scratch is MIT, mengram is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework; Also covers Developer Tools; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
- 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 agents-from-scratch?
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
- Is mengram or agents-from-scratch more popular on GitHub?
- agents-from-scratch has more GitHub stars (954 vs 184). Stars measure visibility, not whether either tool fits your constraints.
- Are mengram and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (mengram: Apache-2.0, agents-from-scratch: MIT).
- Where can I find alternatives to mengram or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at mengram alternatives and agents-from-scratch alternatives (mengram markdown twin, agents-from-scratch 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 agents-from-scratch?
- mengram: Very active. agents-from-scratch: 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 agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mengram trust report; agents-from-scratch trust report.