Redshank

Redshank is an autonomous recursive language-model investigation agent written in Rust. It ingests heterogeneous public datasets — campaign finance, lobbying disclosures, federal contracts, corporate registries, sanctions lists, court records, individual-person OSINT, and media intelligence — resolves entities across all of them, and surfaces non-obvious connections through evidence-backed analysis written into a live knowledge-graph wiki.

Redshank is a from-scratch Rust rewrite of OpenPlanter, replacing the Python runtime with a compiled binary that has zero Python or Node.js dependency.

Key capabilities

• 90+ fetcher modules across government, corporate, sanctions, courts, and OSINT sources
• Recursive agent engine with subtask delegation and context condensation
• Knowledge-graph wiki with petgraph DAG and fuzzy entity resolution
• Interactive ratatui TUI — session sidebar, chat log, and wiki-graph canvas
• Multi-provider LLM support — Anthropic, OpenAI, OpenRouter, Cerebras, Ollama
• Security-first architecture — fail-secure RBAC, typed AuthContext, chmod 600 credential storage
• Single compiled binary — no Python, Node.js, or runtime dependencies

Where to start

• Installation — build from source or install with cargo install redshank-cli --locked
• Quickstart — run your first investigation in five minutes
• CLI Reference — full command reference
• Architecture Overview — hexagonal DDD, CQRS, security model