Comparison
Acontext vs Memori
Verdict
Pick Acontext if acontext targets those needing advanced context engineering and observability for AI agents in their systems, leveraging its JavaScript focus; pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云.
Markdown twin · Acontext alternatives · Memori alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Acontext | Memori |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- Acontext
- Agent Skills as a Memory Layer
- Memori
- Agent-native memory infrastructure for LLM systems
Stars
- Acontext
- 3.6k
- Memori
- 16k
Forks
- Acontext
- 326
- Memori
- 3.2k
Open issues
- Acontext
- 36
- Memori
- 33
Language
- Acontext
- JavaScript
- Memori
- Python
Adopt for
- Acontext
- Acontext targets those needing advanced context engineering and observability for AI agents in their systems, leveraging its JavaScript focus.
- Memori
- Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云
Persona
- Acontext
- -
- Memori
- -
Runtime
- Acontext
- -
- Memori
- -
License
- Acontext
- Apache-2.0
- Memori
- Other
Last pushed
- Acontext
- Jul 14, 2026
- Memori
- Aug 18, 2026
Categories
- Acontext
- AI Agents, Evaluation & Observability
- Memori
- AI Agents, Data & Retrieval
Trust and health
Days since push
- Acontext
- 6d
- Memori
- 0d
Open issues (now)
- Acontext
- 36
- Memori
- 33
Stars delta
- Acontext
- Unknown
- Memori
- +515 (30d)
Open issues delta
- Acontext
- Unknown
- Memori
- +7 (30d)
Full report
- Acontext
- Trust report
- Memori
- Trust report
Shared compatibility
- Python · Acontext: Python runtime · Memori: Python runtime
Choose Acontext if…
- Acontext is primarily JavaScript; Memori is Python.
- License: Acontext is Apache-2.0, Memori is Other.
- Pricing: Not specified. The open-source Apache-2.0 license suggests free usage..
- Requirements: Supports Python and TypeScript SDK installation, favoring JavaScript for development.
- Tags unique to Acontext: agent-development-kit, ai-agent, llm-observability, memory.
- Also covers Evaluation & Observability.
- - You are working on an AI agent that requires a sophisticated memory layer to manage complex contexts effectively.
When NOT to use Acontext
- - If you need a solution focused purely on backend integration without emphasizing context engineering or the specific skills Acontext provides for agent observability.
- - When you do not require advanced memory management tools and simple data platforms sufficiently meet your needs, making alternatives more suitable.
Choose Memori if…
- Memori is primarily Python; Acontext is JavaScript.
- License: Memori is Other, Acontext is Apache-2.0.
- Tags unique to Memori: agent-memory, enterprise, llm, memory-management.
- Also covers Data & Retrieval.
- Memori ships Docker support for self-hosted deployment.
- 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。
When NOT to use Memori
- （TypeScriptPython），MemoriSDK。
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (memodb-io/Acontext) · observed Jul 21, 2026
- GitHub forks (memodb-io/Acontext) · observed Jul 21, 2026
- Last push (memodb-io/Acontext) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MemoriLabs/Memori) · observed Aug 18, 2026
- GitHub forks (MemoriLabs/Memori) · observed Aug 18, 2026
- Last push (MemoriLabs/Memori) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Acontext 3.6k · Memori 16k (synced Jul 21, 2026).
Common questions
- What is the difference between Acontext and Memori?
- Acontext: Agent Skills as a Memory Layer. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose Acontext over Memori?
- Choose Acontext over Memori when Acontext is primarily JavaScript; Memori is Python; License: Acontext is Apache-2.0, Memori is Other; Pricing: Not specified. The open-source Apache-2.0 license suggests free usage.; Requirements: Supports Python and TypeScript SDK installation, favoring JavaScript for development; Tags unique to Acontext: agent-development-kit, ai-agent, llm-observability, memory; Also covers Evaluation & Observability; - You are working on an AI agent that requires a sophisticated memory layer to manage complex contexts effectively.
- When should I choose Memori over Acontext?
- Choose Memori over Acontext when Memori is primarily Python; Acontext is JavaScript; License: Memori is Other, Acontext is Apache-2.0; Tags unique to Memori: agent-memory, enterprise, llm, memory-management; Also covers Data & Retrieval; Memori ships Docker support for self-hosted deployment; 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。.
- When should I avoid Acontext?
- - If you need a solution focused purely on backend integration without emphasizing context engineering or the specific skills Acontext provides for agent observability. - When you do not require advanced memory management tools and simple data platforms sufficiently meet your needs, making alternatives more suitable.
- When should I avoid Memori?
- （TypeScriptPython），MemoriSDK。
- Is Acontext or Memori more popular on GitHub?
- Memori has more GitHub stars (16,130 vs 3,583). Stars measure visibility, not whether either tool fits your constraints.
- Are Acontext and Memori open source?
- Yes - both are open-source projects on GitHub (Acontext: Apache-2.0, Memori: Other).
- Where can I find alternatives to Acontext or Memori?
- GraphCanon lists graph-backed alternatives at Acontext alternatives and Memori alternatives (Acontext markdown twin, Memori 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, Acontext or Memori?
- Acontext: Very active. Memori: 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 Acontext and Memori?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Acontext trust report; Memori trust report.