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
👀 See Also
Hybrid search with RRF improves AI memory system over pure vector search
An open-source AI memory system using PostgreSQL with pgvector found pure vector search insufficient for exact matches, so it added full-text search and merged results using Reciprocal Rank Fusion (RRF) with k=60, plus query enrichment via tokenizer.
OpenClaw Skill Usage Tracker: Monitor Which Skills You Actually Use
A developer built a tool to track OpenClaw skill usage analytics, including invocation counts, breakdowns by agent and channel, and top skill rankings over different time periods.
CodeVibe: Push Notifications for AI Coding Agents When Blocked on Input
CodeVibe sends push notifications to your phone when AI coding agents like Claude Code get stuck waiting for approval on edit operations. You can review file diffs and respond with numbered options to keep the agent moving.
FOMOE Enables 397B Qwen3.5 Model Inference on $2,100 Desktop Hardware
FOMOE (Fast Opportunistic Mixture of Experts) allows running Qwen3.5's 397 billion parameter flagship model at 5-9 tokens/second on consumer hardware using two $500 GPUs, 32GB RAM, and an NVMe drive with Q4_K_M quantization.