10 actions in 9 pieces of software · ranked by words, meaning and measured trust · 752 ms
agentrecord
- Mnemom
"Use when building, deploying, or managing AI agents that need
- Mnemom
agentrecord
- Agent card lookup
Per-agent A2A AgentCard projection with embedded AAP attestation (GET /v1/agents/{id}/a2a-agent-card).
- Value catalog
Mnemom's behavioral value catalog (GET /v1/catalog/values).
- Agent card lookup
- 3mnemofound in code, not yet checkedno passport yet
- remember
Store one fact worth surviving this conversation. One fact per call. Updates the memory if the name already exists.
- remember
- 4mnemofound in code, not yet checkedno passport yet
MCP servermauryasagar/mnemo
- remember
Store a durable memory (fact, preference, task, decision).
- remember
- 5mnemofound in code, not yet checkedno passport yet
MCP serverYoruichiYams/mnemo
- mnemo_search
Search memory with hybrid retrieval.
- mnemo_search
- 6mnemofound in code, not yet checkedno passport yet
- remember
Save a memory to the local store so it can be recalled later.
- remember
- 7mnemofound in code, not yet checkedno passport yet
MCP serverwx-ys/mnemo
- mnemo_search
Semantic search over the Mnemo knowledge base.
- mnemo_search
agentrecord
- Mnemos search
Semantic search over your current beliefs (nomic-embed-text). POST {query,k,kind} -> ranked {memory_id,key,value,score}.
- Mnemos search
- 9mnemofound in code, not yet checkedno passport yet
MCP servermiguelaguiardev/mnemo
- mem_save
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.