71
/ 100
10 hours ago
glama

Memory Fabric

Enables AI coding assistants to store and retrieve project-aware context as plain Markdown files locally, with no cloud or vector database required.

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// 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 3 credentials: GEMINI_API_KEY, OPENAI_API_KEY, ANTHROPIC_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.
configMEMORY_FABRIC_LLM_DEBUGVia Environment Variables: Set the variable in your environment:
configMEMORY_FABRIC_LLM_PROVIDER1. Direct LLM Provider: Uses direct API calls if is set in the environment along with the corresponding API keys.
🔐 secretGEMINI_API_KEYZero-Config: No need to configure or expose , OPENAI_API_KEY, or ANTHROPIC_API_KEY to the background MCP server process.
🔐 secretOPENAI_API_KEYZero-Config: No need to configure or expose GEMINI_API_KEY, , or ANTHROPIC_API_KEY to the background MCP server process.
configOPENAI_API_BASEOpenAI MEMORY_FABRIC_LLM_PROVIDER=openai<br>OPENAI_API_KEY=your_key<br>OPENAI_MODEL=gpt-4o-mini (opt)<br>=... (opt) Can connect to custom local/remote OpenAI-compatible endpoints
configOPENAI_BASE_URL
configOPENAI_MODELOpenAI MEMORY_FABRIC_LLM_PROVIDER=openai<br>OPENAI_API_KEY=your_key<br>=gpt-4o-mini (opt)<br>OPENAI_API_BASE=... (opt) Can connect to custom local/remote OpenAI-compatible endpoints
🔐 secretANTHROPIC_API_KEYZero-Config: No need to configure or expose GEMINI_API_KEY, OPENAI_API_KEY, or to the background MCP server process.
configOLLAMA_HOSTOllama MEMORY_FABRIC_LLM_PROVIDER=ollama<br>=... (opt)<br>OLLAMA_MODEL=gemma2 (opt) Offline, local reasoning
configOLLAMA_MODELOllama MEMORY_FABRIC_LLM_PROVIDER=ollama<br>OLLAMA_HOST=... (opt)<br>=gemma2 (opt) Offline, local reasoning
configMEMORY_FABRIC_DEDUP_THRESHOLD
configMEMORY_FABRIC_TOKEN_BUDGET
configMEMORY_FABRIC_FAILURE_MERGE_THRESHOLD
configMEMORY_FABRIC_DIRECTIVE_BUDGET
configMEMORY_FABRIC_MAP_TOKEN_CAP
// 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 4 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/elvirafa-agentic-memory-c6rpen)](https://m8ven.ai/mcp/elvirafa-agentic-memory-c6rpen)
commit: 0497454bce9cef31b816fceadb6336ce8d3644ea
code hash: 3945a8b329a0479cf3f8a16f7f865ba68e4052e196858db5efdc77aa6f838282
verified: 7/31/2026, 9:00:22 AM
view raw JSON →