Forest drops local-first AI security swarm

Forest targets the primary barrier to AI adoption in cybersecurity: the risk of sending sensitive telemetry to cloud LLMs.

• –Multi-agent "swarm" architecture allows for specialized roles in log analysis, threat hunting, and incident response.
• –Built on LangGraph and Ollama, the project provides a sophisticated, stateful orchestration layer that runs entirely without cloud dependencies.
• –Eliminates recurring API costs and latency issues, making it a viable option for real-time monitoring on specialized hardware.
• –While conceptually strong, it remains an experimental "build-in-public" project that will likely struggle with model context windows and real-time ingestion scale.
• –Integration with local SIEM or EDR tools is the next logical step for the project to reach production utility.