74
/ 100
26 days ago
glama

widemem-ai

Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, WIDEMEM_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretOPENAI_API_KEY
configWIDEMEM_DATA_PATH
configWIDEMEM_LLM_PROVIDERTools exposed: widemem_add, widemem_search, widemem_delete, widemem_count, widemem_health. Configure providers via , WIDEMEM_EMBEDDING_PROVIDER, etc.
configWIDEMEM_LLM_MODEL
configWIDEMEM_LLM_BASE_URL
configWIDEMEM_EMBEDDING_PROVIDERTools exposed: widemem_add, widemem_search, widemem_delete, widemem_count, widemem_health. Configure providers via WIDEMEM_LLM_PROVIDER, , etc.
configWIDEMEM_CONFIDENCE_HIGH
configWIDEMEM_CONFIDENCE_MODERATE
configWIDEMEM_CONFIDENCE_LOW
configWIDEMEM_HOST
🔐 secretWIDEMEM_API_KEY
configWIDEMEM_PORT
configPORT
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/remete618-widemem-ai-yx3yph)](https://m8ven.ai/mcp/remete618-widemem-ai-yx3yph)
commit: 092d7923790907d82d39808bd9fb44da82ad51ee
code hash: 12123ef417b9e43b92d7e6ca7800e5d602a224e2ffeee4941efbff2b3f2f4947
verified: 6/17/2026, 11:58:55 AM
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