daniel b1056beaa9 Phase 2: wire X-Actor-Id credential loading into workspace-mcp handler.py
Replace cold-start single-user credential loading with per-request
multi-tenant loading via ASGI middleware:
- _setup_shared_environment(): loads OAuth client creds once at cold start
- _ActorCredentialsMiddleware: reads x-actor-id header per request,
  fetches per-user Google credentials from Secrets Manager
  (agent-claw/google-credentials/{actor_id}), writes to /tmp,
  sets USER_GOOGLE_EMAIL env var
- 5-minute in-memory cache to avoid redundant Secrets Manager calls
2026-05-06 21:48:05 -05:00
2026-05-04 08:43:08 -05:00

OpenClaw on AWS AgentCore — Research Project

Research into the feasibility of running OpenClaw on AWS Bedrock AgentCore Runtime.

Files

  • architecture-comparison.md — Side-by-side architecture comparison
  • compatibility-analysis.md — Detailed component-by-component compatibility analysis
  • offload-requirements.md — What needs to move to external services
  • feasibility-verdict.md — Bottom-line assessment for AgentCore
  • fargate-analysis.md — ECS Fargate deployment analysis (the better fit)
  • agentcore-memory-research.md — AgentCore Memory deep dive + MEMORY.md replacement analysis
  • agentcore-rebuild.md — What's reusable in an AgentCore-native rebuild
  • serverless-relay-patterns.md — Lambda/webhook patterns per channel (Discord deep dive)
  • build-plan.mdSTART HERE: full build plan, open questions, phases, cost estimate
Description
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Readme 65 MiB
Languages
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JavaScript 4.4%
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Dockerfile 0.1%