9ca954a274
Consolidated salvage from PRs #5301 (qaqcvc), #5339 (lance0), #5058 and #5098 (maymuneth). Mem0 API v2 compatibility (#5301): - All reads use filters={user_id: ...} instead of bare user_id= kwarg - All writes use filters with user_id + agent_id for attribution - Response unwrapping for v2 dict format {results: [...]} - Split _read_filters() vs _write_filters() — reads are user-scoped only for cross-session recall, writes include agent_id - Preserved 'hermes-user' default (no breaking change for existing users) - Omitted run_id scoping from #5301 — cross-session memory is Mem0's core value, session-scoping reads would defeat that purpose Memory prefetch context fencing (#5339): - Wraps prefetched memory in <memory-context> fenced blocks with system note marking content as recalled context, NOT user input - Sanitizes provider output to strip fence-escape sequences, preventing injection where memory content breaks out of the fence - API-call-time only — never persisted to session history Secret redaction (#5058, #5098): - Added prefix patterns for Groq (gsk_), Matrix (syt_), RetainDB (retaindb_), Hindsight (hsk-), Mem0 (mem0_), ByteRover (brv_)
Mem0 Memory Provider
Server-side LLM fact extraction with semantic search, reranking, and automatic deduplication.
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
Config file: $HERMES_HOME/mem0.json
| Key | Default | Description |
|---|---|---|
user_id |
hermes-user |
User identifier on Mem0 |
agent_id |
hermes |
Agent identifier |
rerank |
true |
Enable reranking for recall |
Tools
| Tool | Description |
|---|---|
mem0_profile |
All stored memories about the user |
mem0_search |
Semantic search with optional reranking |
mem0_conclude |
Store a fact verbatim (no LLM extraction) |