872ed24f0c
Inspired by zeroclaw's lightweight patterns for slow hardware: - Response cache (SQLite + SHA-256 keyed) to skip redundant LLM calls - History compaction — LLM-summarize old messages when history exceeds 50 - Query classifier routes simple/research queries to cheaper models - Credential scrubbing removes secrets from tool output before sending to LLM - Cost tracker with daily/monthly budget enforcement (SQLite) - Resilient provider with retry + exponential backoff + fallback provider - Approval engine gains session "always allow" and audit log Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
xtrm-agent
Multi-agent AI automation system with shared message bus, specialized roles, and deny-by-default security.
Architecture
Multiple specialized agents share a message bus and can delegate to each other:
- Coder Agent — Claude, file+bash tools, coding-focused
- Researcher Agent — DeepSeek/Kimi, web tools, research-focused
- Reviewer Agent — Claude, read-only tools, code review
Quick Start
# Install
uv sync
# Interactive chat (default: coder agent)
uv run xtrm-agent chat
# Target a specific agent
uv run xtrm-agent chat --agent researcher
# Single-shot message
uv run xtrm-agent chat -m "write a hello world script"
# Run all agents + Discord bot
uv run xtrm-agent serve
# Show status
uv run xtrm-agent status
Configuration
Edit config.yaml to configure providers, agents, tools, and channels.
Agent definitions live in agents/*.md with YAML frontmatter.
Deployment
Deploy via Dockge on Unraid using the included compose.yaml.