Search memory

Search the user's Working Memory for relevant past notes and facts. Use this when the user references something they may have stored earlier, or to find related

liveunknown~5s typical

mcpworkingmemory

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-workingmemory-memory /search_memory for me.

Input

Field	Type	Description
query*	string	Semantic query.
k	number	Max results (1–20). Defaults to a sensible value.
conversation_id	string	Optional. Restrict results to notes stamped with this conversation_id at save_memory time.
dedupe_recent	boolean	Optional. When false, semantic matches that are also recent are still returned in `relevan
client	object	Context about the CURRENT client session. Pass your conversation/thread id as `conversatio

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-workingmemory-memory","endpoint":"/search_memory","input":{"query":"..."}}'

cli

npx cracked-ai run -p mcp-ai-workingmemory-memory -e /search_memory -i '{"query":"..."}'

mcp

run_tool({ provider: "mcp-ai-workingmemory-memory", endpoint: "/search_memory", input: {"query":"..."} })

Try it

Runs against your signed-in workspace balance. Sign in if you have not.