Recall Memories

Search persistent memory by semantic meaning to retrieve past facts, context, or preferences. Use when answering queries that benefit from prior user context,

liveverifiedunknown~5s typical

mcpprobedbrainiallmemory

$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-com-brainiall-memory /recall for me.

Input

Field	Type	Description
namespace*	string	Storage namespace to search (e.g., 'user_123_pref', 'agent_project_alpha').
query*	string	Search query describing the fact, context, or topic to find by semantic similarity.
limit	integer	Maximum number of memory items to return (default: 5, ceiling: 50). default 5

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-com-brainiall-memory","endpoint":"/recall","input":{"namespace":"...","query":"...","limit":5}}'

cli

npx cracked-ai run -p mcp-com-brainiall-memory -e /recall -i '{"namespace":"...","query":"...","limit":5}'

mcp

run_tool({ provider: "mcp-com-brainiall-memory", endpoint: "/recall", input: {"namespace":"...","query":"...","limit":5} })

Try it

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