70
grade C
11 days ago
glama
codewatch-memory
An observational memory server that uses LLM agents to capture, compress, and recall project-specific decisions and context across AI coding sessions. It stores structured observations in SQLite to maintain long-term session continuity and architectural awareness.
Install from
M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.
// key findings
🚨
Known vulnerabilities in dependencies: 2 critical
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
🔐
You'll be asked for 1 credential: CODEWATCH_CHARS_PER_TOKEN
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.config
CODEWATCH_AUTO_REFLECT— true Enable auto-reflection🔐 secret
CODEWATCH_CHARS_PER_TOKENconfig
CODEWATCH_DATA_DIR— ~/mcp-data/codewatch-memory/ SQLite storage locationconfig
CODEWATCH_DEFAULT_BRANCHconfig
CODEWATCH_FALLBACK_PROVIDER— openai Fallback LLM (google, openai, groq, none)config
CODEWATCH_GOOGLE_MODEL— gemini-2.5-flash Google modelconfig
CODEWATCH_GROQ_MODEL— llama-3.3-70b-versatile Groq modelconfig
CODEWATCH_LLM_PROVIDER— "": "groq"config
CODEWATCH_LOG_LEVEL— info Logging verbosityconfig
CODEWATCH_MAX_COMPRESSION— 3 Max compression level (0-3)config
CODEWATCH_OPENAI_MODEL— gpt-4o-mini OpenAI modelconfig
CODEWATCH_PROJECT_DIRconfig
CODEWATCH_REFLECT_THRESHOLD— 40000 Auto-reflect trigger (tokens)// 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
[](https://m8ven.ai/mcp/klausandrade-codewatch-ej0s2f)commit: fa5410132d6ebc835cd60639effb1606d8eb2034
code hash: e4f0cc5bf73d735bfe45280362b4fd26d48afe8ac0ec7a41dffd57a1805de25b
verified: 4/11/2026, 2:45:14 PM