Hawkeye Update Adds Swarm Orchestration, Remote Tasks, and Local Model Support
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 cican post a structured PR report with drift, cost, and files touched.
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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