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Zero-dependency shared type definitions for the hawk ecosystem: findings, severity, events, policy verdicts, session state.
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AI-powered code review for diffs — diff-aware analysis, severity classification, LLM-agnostic. Go library + MCP.
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Shared MCP server scaffolding for the hawk ecosystem — stdio and HTTP transports, tool registration, result helpers.
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12,000+ community-contributed skill packages for the hawk AI coding agent. Markdown with YAML frontmatter.
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AI coding agent for your terminal — reads code, edits files, runs tests, manages git. Model-agnostic, privacy-first.
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Persistent graph-native memory for coding agents — works with any MCP agent. SQLite + FTS5, model-agnostic.
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LLM token optimization — prompt compression, output filtering, token estimation, secrets scanning. Cut costs 60-90%.
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