trusty-tools

Unified Rust workspace consolidating the entire trusty-* AI tooling ecosystem. 21 crates of AI development tooling with three flagship MCP servers for code search, memory management, and analysis.

Three Flagship MCP Servers

trusty-search — Hybrid Code Search

Machine-wide code search daemon with hybrid BM25 + vector + knowledge-graph fusion, fused via Reciprocal Rank Fusion. One install per machine, unlimited named project indexes.

What you get:

• Sub-10ms p50 warm query latency on 100k-chunk indexes
• Intelligent query routing (Definition / Usage / Conceptual / BugDebt intent detection)
• Knowledge graph expansion with caller/callee chains
• Branch-aware search (boost results from your current feature branch)
• Auto-tuned memory tiers (5 tiers from 8 GB to 64+ GB RAM)
• Embedded Svelte 5 admin UI
• OpenRouter-backed chat with auto-injected search context

Quick start:

cargo install trusty-search
trusty-search start
trusty-search index ~/Projects/myproj --name myproj
trusty-search query "fn authenticate" --index myproj

MCP tools: search_code, search_similar, index_file, remove_file, list_indexes, create_index, delete_index, reindex, index_status, list_chunks, search_health, chat

See crates/trusty-search/README.md for full documentation.

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trusty-memory — Memory Palace Storage Engine

Long-term memory storage with semantic search, persistent embedding index, and embedded Svelte UI. Store development context, notes, snippets, and retrieve them via natural language.

What you get:

• HNSW vector index (usearch) + SQLite persistent storage + fastembed embeddings
• Semantic search over all stored memories
• Collection organization (notes, snippets, code patterns, decisions)
• Svelte UI for browsing and editing
• MCP server for Claude Code integration
• MIT license (memory preservation is for everyone)

Quick start:

cargo run -p trusty-memory -- serve
# Or via MCP stdio:
# Add to ~/.claude/claude_desktop_config.json:
# "trusty-memory": {
#   "command": "cargo",
#   "args": ["run", "-p", "trusty-memory", "--", "serve"]
# }

MCP tools: memory_remember, memory_recall, memory_recall_deep, memory_recall_all, memory_note, memory_list, memory_forget, list_prompt_facts, remove_prompt_fact, get_prompt_context

See crates/trusty-memory/README.md for full documentation.

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trusty-analyze — Code Analysis Sidecar

Static code-analysis daemon (sidecar to trusty-search): cyclomatic and cognitive complexity, code smells, quality grading, git temporal decay, concept clustering, SCIP protobuf ingest, and a (subject, predicate, object) facts store backed by redb. Reads its chunk corpus from trusty-search over HTTP, then serves results on port 7879 via both an axum HTTP API and an MCP stdio/SSE server.

What you get:

• Cyclomatic + cognitive complexity per chunk / file / index
• Configurable code-smell categories with named thresholds
• A–F quality grade aggregation
• Git blame–driven temporal decay scoring (stale high-complexity code)
• k-means concept clustering (BoW or neural embeddings)
• Facts store: typed knowledge triples with provenance, persisted in redb
• SCIP protobuf ingest for LSP-quality symbol data
• Optional ONNX-backed NER over doc comments (feature-gated: --features ner)
• Tree-sitter adapters for Rust, TypeScript, JavaScript, Python, Java, Go, Ruby, PHP, C, C++, C#, Kotlin, Swift, Scala
• HTTP API + MCP parity (every endpoint has a tool equivalent)

Quick start:

# 1. trusty-search must be running first — it is a hard runtime dependency
cargo run -p trusty-search -- start

# 2. start the analyze sidecar
cargo run -p trusty-analyze -- serve --search-url http://127.0.0.1:7878

# 3. analyze a named index
cargo run -p trusty-analyze -- analyze <index-id> --top-k 20