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Resonnet Technical Documentation

This directory contains technical implementation details and design docs for Resonnet.

Document Index

Doc Description
architecture.md Overall architecture: API layer, agent layer, workspace layout, data flow
assignable-skills-flow.md Assignable skills API, copy logic, meta aggregation
config.md Environment variables; .env loading order; ANTHROPIC_* vs AI_GENERATION_*; Profile Helper auth modes (none/jwt/proxy)
mcp-config.md MCP config API, validation (npm/uvx/remote only, no local)
testing.md Test layers (unit/integration), .env setup, CI notes
api-reference.md API endpoint list and brief descriptions
runtime-modes.md How to use Resonnet in executor mode vs standalone MVP mode
agent-links-runtime.md Agent link runtime lifecycle: per-session workspace, SSE chat, import limits
sandbox-isolation.md Topic-level sandbox design, OS isolation model, and srt integration details
skills-generalization.md Library design; experts in libs/experts/; discussion modes in libs/moderator_modes/
skills-submodule-guide.md Add/update skill libraries via submodule; points to Cursor skill
import-skill-repo.md One-click import script for external skill repos
troubleshooting.md Operational troubleshooting for install, runtime, and environment issues
../app/prompts/README.md AI prompt management (expert/moderator generation, round discussion, expert reply)
../libs/README.md Libs directory structure; experts, moderator_modes, mcps, prompts

Quick Navigation

Important Notes

  • AgentSDK availability must be validated with a real .env; ANTHROPIC_API_KEY=test is not acceptable for acceptance.
  • In TopicLab integrated mode, topic/domain business storage belongs to topiclab-backend; Resonnet acts as the agent execution backend.