MIRIX

MIRIX - Multi-Agent Personal Assistant with an Advanced Memory System

Key Features 🔥

Quick Start

docker compose up -d --pull always

pip install mirix-client

from mirix import MirixClient

client = MirixClient(
    api_key="your-api-key",
    base_url="http://localhost:8531",
)

client.initialize_meta_agent(
    config={
        "llm_config": {
            "model": "gemini-2.0-flash",
            "model_endpoint_type": "google_ai",
            "api_key": "your-api-key-here",
            "model_endpoint": "https://generativelanguage.googleapis.com",
            "context_window": 1_000_000,
        },
        "embedding_config": {
            "embedding_model": "text-embedding-004",
            "embedding_endpoint_type": "google_ai",
            "api_key": "your-api-key-here",
            "embedding_endpoint": "https://generativelanguage.googleapis.com",
            "embedding_dim": 768,
        },
        "meta_agent_config": {
            "agents": [
                {
                    "core_memory_agent": {
                        "blocks": [
                            {"label": "human", "value": ""},
                            {"label": "persona", "value": "I am a helpful assistant."},
                        ]
                    }
                },
                "resource_memory_agent",
                "semantic_memory_agent",
                "episodic_memory_agent",
                "procedural_memory_agent",
                "knowledge_vault_memory_agent",
            ],
        },
    }
)

client.add(
    user_id="demo-user",
    messages=[
        {"role": "user", "content": [{"type": "text", "text": "The moon now has a president."}]},
        {"role": "assistant", "content": [{"type": "text", "text": "Noted."}]},
    ],
    session_id="sess-demo-001",
)

# Include tool activity when you want skills learned from the WORK PROCESS:
# tool errors, retries, and the fix that finally worked are the distiller's
# strongest signals. Pass tool results as role="tool" turns and/or a
# "tool_calls" list on assistant messages (OpenAI shape) — both are preserved
# in the session conversation store.
client.add(
    user_id="demo-user",
    messages=[
        {"role": "user", "content": [{"type": "text", "text": "Deploy the service."}]},
        {"role": "assistant", "content": "", "tool_calls": [
            {"function": {"name": "kubectl_apply", "arguments": "{\"file\": \"deploy.yaml\"}"}}
        ]},
        {"role": "tool", "name": "kubectl_apply", "content": "error: forbidden (missing RBAC)"},
        {"role": "assistant", "content": [{"type": "text", "text": "Fixed the RBAC role and redeployed successfully."}]},
    ],
    session_id="sess-demo-001",
)

memories = client.retrieve_with_conversation(
    user_id="demo-user",
    messages=[
        {"role": "user", "content": [{"type": "text", "text": "What did we discuss on MirixDB in last 4 days?"}]},
    ],
    limit=5,
)
print(memories)

Auto-Dream Memory Consolidation

POST /memory/auto_dream?user_id=demo-user
Content-Type: application/json

{
  "mode": "experience",
  "dry_run": false
}

result = client.auto_dream(
    user_id="demo-user",
    mode="procedural",
    meta_agent_id=meta_agent.id,
    last_n_sessions=3,
    dry_run=False,
)
print(result)

Upgrading an Existing Database

psql "$MIRIX_PG_URI" -f scripts/migrate_procedural_to_skill.sql
psql "$MIRIX_PG_URI" -f scripts/migrate_add_message_session_id.sql
psql "$MIRIX_PG_URI" -f scripts/migrate_add_message_session_id_phase2.sql   # outside a transaction (CREATE INDEX CONCURRENTLY)
psql "$MIRIX_PG_URI" -f scripts/migrate_add_conversation_message.sql
psql "$MIRIX_PG_URI" -f scripts/migrate_add_conversation_message_phase2.sql # outside a transaction
psql "$MIRIX_PG_URI" -f scripts/migrate_add_skill_experience.sql
psql "$MIRIX_PG_URI" -f scripts/migrate_add_agent_trigger_state.sql
psql "$MIRIX_PG_URI" -f scripts/migrate_backfill_procedural_scope.sql   # backfill filter_tags['scope'] from each skill's owning client

License

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Acknowledgement