Hawkeye Update Adds Swarm Orchestration, Remote Tasks, and Local Model Support

✍️ OpenClawRadar📅 Published: April 16, 2026🔗 Source
Hawkeye Update Adds Swarm Orchestration, Remote Tasks, and Local Model Support
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What Hawkeye Is

Hawkeye is a local-first "flight recorder" for AI coding agents. It records what an agent does in a repository, helps detect drift, shows cost/tokens/actions, and provides a dashboard to inspect, compare, replay, and control runs.

Key New Features

  • Swarm/multi-agent orchestration: Run multiple agents in parallel, monitor them from the dashboard, and track their output, drift, and cost live.
  • Remote task daemon: Queue tasks to run in the background or overnight, then review output from the dashboard.
  • Local model support: Ollama and LM Studio are now wired in more cleanly, including model selection in CLI flows where it matters.
  • Live firewall/guardrails: Better visibility into intercepted actions, review gates, and live guardrail behavior.
  • GitHub PR reporting: hawkeye ci can post a structured PR report with drift, cost, and files touched.
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Core Functionality

The tool helps answer specific questions when agents do real work in a repo: what exactly happened, when did it drift, what files changed, why did it fail, and how does this run compare to another one.

Technical Details

  • Local-first architecture: Uses SQLite with no Hawkeye cloud dependency
  • Agent compatibility: Works with Claude Code, Codex, Cline, and custom agent CLIs
  • Installation: npm install -g hawkeye-ai
  • Source: GitHub repository at github.com/MLaminekane/hawkeye

📖 Read the full source: r/LocalLLaMA

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👀 See Also