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io.github.pouyahasanamreji/continuum

io.github.pouyahasanamreji/continuum·v0.3.0·Memory & RAG
Quality Score
85
/100

Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.

Repository →Website →
§00  Trust verdict · v1 advisory ·  method
UNVERIFIEDno verdict on file

Verdict not yet evaluated for this tool. The hybrid eval runs adversarial cases first; coverage rolls out as the corpus expands. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: hybrid eval, four-state verdict, honest limits.

§01  Install
Claude Desktop (Docker)
{
  "mcpServers": {
    "continuum": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.io/pouyahasanamreji/continuum:0.3.0"
      ],
      "env": {
        "ORCHESTRATOR_DB_PATH": "/data/orchestrator.db",
        "EMBEDDER_URL": "<embedder_url>",
        "EMBEDDER_MODEL": "Snowflake/snowflake-arctic-embed-m-v1.5",
        "EMBEDDER_DIM": "768"
      }
    }
  }
}
§02  Environment variables
ORCHESTRATOR_DB_PATH

SQLite path inside container

EMBEDDER_URL

Optional HTTP embedder (Ollama/TEI/OpenAI-compatible). Unset = in-process embedder.

EMBEDDER_MODEL

Embedding model id

EMBEDDER_DIM

Embedding vector dimension

§03  MCP Quality Score  ·  methodology
freshness
25
completeness
15
installability
25
documentation
15
stability
5
§04  Alternatives in Memory & RAG
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