hermes-agent/plugins/memory/mem0

Mem0 Memory Provider

Server-side LLM fact extraction with semantic search and hybrid multi-signal retrieval via the Mem0 Platform v3 API.

Requirements

• pip install mem0ai
• Mem0 API key from app.mem0.ai

Setup

hermes memory setup    # select "mem0"

Or manually:

hermes config set memory.provider mem0
echo "MEM0_API_KEY=your-key" >> ~/.hermes/.env

Config

Behavioral settings live in $HERMES_HOME/mem0.json (set them via hermes memory setup). Only the secret MEM0_API_KEY belongs in ~/.hermes/.env.

Key	Default	Description
mode	platform	platform (Mem0 Cloud) or oss (self-hosted)
user_id	hermes-user	User identifier on Mem0
agent_id	hermes	Agent identifier
rerank	true	Rerank search results for relevance (platform mode only)

OSS (Self-Hosted) Mode

Run Mem0 locally with your own LLM, embedder, and vector store.

Interactive Setup

hermes memory setup
# Select "mem0" → "Open Source (self-hosted)"
# Follow prompts for LLM, embedder, and vector store

Agent-Driven Setup (Flags)

hermes memory setup mem0 --mode oss \
  --oss-llm openai --oss-llm-key sk-... \
  --oss-vector qdrant

Supported Providers

Component	Providers
LLM	openai, ollama
Embedder	openai, ollama
Vector Store	qdrant (local/server), pgvector

Flags Reference

Flag	Description
--mode	platform or oss
--oss-llm	LLM provider (default: openai)
--oss-llm-key	LLM API key
--oss-embedder	Embedder provider (default: openai)
--oss-vector	Vector store (default: qdrant)
--oss-vector-path	Qdrant local path
--user-id	User identifier

Switching Modes

Platform to OSS

hermes memory setup mem0 --mode oss --oss-llm-key sk-...

Or edit $HERMES_HOME/mem0.json directly:

{
  "mode": "oss",
  "oss": {
    "llm": {"provider": "openai", "config": {"model": "gpt-5-mini"}},
    "embedder": {"provider": "openai", "config": {"model": "text-embedding-3-small"}},
    "vector_store": {"provider": "qdrant", "config": {"path": "~/.hermes/mem0_qdrant"}}
  }
}

OSS to Platform

hermes memory setup mem0 --mode platform --api-key sk-...

Dry Run (preview without writing)

hermes memory setup mem0 --mode oss --oss-llm-key sk-... --dry-run

Tools

Tool	Description
mem0_list	List all stored memories (paginated)
mem0_search	Semantic search by meaning
mem0_add	Store a fact verbatim (no LLM extraction)
mem0_update	Update a memory's text by ID
mem0_delete	Delete a memory by ID

Troubleshooting

"Mem0 temporarily unavailable"

Circuit breaker tripped after 5 consecutive failures. Resets after 2 minutes.

• Platform mode: Check API key and internet connectivity.
• OSS mode: Check that your vector store (qdrant/pgvector) is running.

OSS: Qdrant connection refused

# If using local Qdrant, check the storage path is writable:
ls -la ~/.hermes/mem0_qdrant

# If using Qdrant server, check it's reachable:
curl http://localhost:6333/healthz

OSS: PGVector connection refused

# Verify PostgreSQL is running and accepting connections:
pg_isready -h localhost -p 5432

OSS: Ollama not reachable

# Check Ollama is running:
curl http://localhost:11434/api/tags

Memories not appearing

• mem0_add stores verbatim (no extraction). Use sync_turn for LLM extraction.
• Search uses semantic matching — try broader queries.
• Check user_id matches between sessions ($HERMES_HOME/mem0.json).