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glama

mneme

Persistent long-term memory for AI agents via MCP, saving 80-90% memory-related token costs by enabling on-demand recall instead of always-injecting context.

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// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: EMBEDDING_API_KEY. We can’t prove the destination matches the brand the credential belongs to.
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
🔐
You'll be asked for 1 credential: EMBEDDING_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.
configCLAUDE_BINclaude Path to Claude CLI (for compression pipeline)
configEMBEDDING_API_BASE_URLexport ="https://api.openai.com/v1" # or any OpenAI-compatible API
🔐 secretEMBEDDING_API_KEYexport ="your-key"
configEMBEDDING_DIMENSIONexport ="1536" # default
configEMBEDDING_MODELexport ="text-embedding-3-small" # default
configTOKENMEM_COMPACT_SESSIONTOKENMEM_COMPACT_SUMMARY="..." ="session-id" \
configTOKENMEM_COMPACT_SUMMARY"..." TOKENMEM_COMPACT_SESSION="session-id" \
configTOKENMEM_DB_PATHDB path configurable via environment variable
// 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 8 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/agentgamelab-mneme-2qewq3)](https://m8ven.ai/mcp/agentgamelab-mneme-2qewq3)
commit: d26e8a3bfb60cf4d94c53fec0f8349fb94a3069c
code hash: 8a9ecab052f06865c19256c17e19ab1619bc7add42529e22e6700554e4652368
verified: 6/22/2026, 12:38:37 PM
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