caura-memclaw / setup / continue
Setup guide

Set up caura-memclaw in Continue

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Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.


01Configuration
{ "mcpServers": { "caura-memclaw": { "command": "npx", "args": [ "-y", "mcp-remote", "https://memclaw.net/mcp" ] } } }

Remote server. This uses the mcp-remote bridge so Continue can reach the hosted endpoint. Add it to ~/.continue/config.yaml.


02Steps
  1. Make sure Continue is installed and up to date.
  2. Open ~/.continue/config.yaml and add the block above (merge into any existing mcpServers).
  3. Provide any required API keys/credentials as environment variables.
  4. Restart Continue and confirm caura-memclaw’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-07-31 08:47Z
sourcesGitHub repo search [p4]

Next step

Want agents that act within guardrails? Apex is the live governed-agent product — paced, capped, and fully-logged actions with approvals before anything runs.

Explore Apex →

See also: server page · is it safe? · alternatives

Set up caura-memclaw MCP in Continue — MCPExplorer