Reflex

Instant local code search — CLI, scripts, and AI agents

Reflex is a local-first, full-text code search engine. Use it from the command line, pipe it into scripts, or connect it to AI coding assistants (Claude Code, Cursor, and any MCP-compatible tool) for instant symbol lookup, dependency analysis, and codebase exploration — fully offline, fully deterministic, no cloud required.

# Via NPM
npm install -g reflex-search

# Or via Cargo
cargo install reflex-search

# From your project root
rfx index

# Full-text search
rfx query "extract_symbols"

# Symbol definitions only
rfx query "CacheManager" --symbols

# JSON output for scripting
rfx query "TODO" --json --limit 20

With Claude Code:

# every project
claude mcp add-json --scope user reflex '{"type":"stdio","command":"rfx","args":["mcp"],"alwaysLoad":true}'
# this project only (writes .mcp.json)
claude mcp add-json --scope project reflex '{"type":"stdio","command":"rfx","args":["mcp"],"alwaysLoad":true}'

"alwaysLoad": true makes Claude Code load Reflex's tool schemas at session start, so the agent can call Reflex at once instead of first spending a turn on ToolSearch. The plain claude mcp add --scope user reflex -- rfx mcp also works, without it.

For other MCP clients, register a stdio server with command rfx and args ["mcp"].

Your AI assistant can now call search_code, find_references, get_dependencies, and more.

See Claude Code + Reflex MCP Quickstart for MCP setup, key tools, and troubleshooting.

The A/B harness in benches/efficacy/ runs Claude Code on the same code-search tasks with Reflex (via MCP) and with its built-in Grep/Glob, paired per task, on pinned checkouts of Reflex, ripgrep and tokio. Measured on Reflex 2.0.3, 2026-09-28, 8 trials per task and arm. Ratios are Reflex ÷ built-in, so > 1.0 means Reflex costs more.

What drives the cost. It is round-trips, not payload. Claude Code defers MCP tool schemas, so the first Reflex call costs an extra ToolSearch turn; Sonnet 5 also added check_index_status calls. Trials where the agent ignored Reflex cost the same as the control (1.04–1.07×); trials that used it cost 1.55–1.68×. Columnar results already save about 20% of bytes per call, which the extra turns outweigh.

Honest reading. Reflex does not save tokens over built-in search in these agent runs. Its value is capability: symbol-aware search, dependency analysis, find_references in one call, exact counts without loading content, and more complete answers from weaker models on large result sets. Full method, per-task tables and limits: .context/EFFICACY-2.0.3.md.

Measured on a Kubernetes checkout (27,448 indexed files, 245 MB of text) on a 16-core machine with an NVMe disk, release build:

The index files are byte-identical before and after, so query results and latency did not change with the indexing rewrite. On the Linux kernel, the symbol pass that used to stall part-way now completes in seconds.

Query latency on the 30 MB latency-harness corpus (2.0.0 medians, through a real rfx mcp round-trip): zero-hit search 0.07 ms, common-word first page 2.7 ms, regex fn (get|set)_\w+ 10 ms, find_references 6.2 ms.

For a plain one-off scan of a mid-size repository, ripgrep remains a strong choice. Reflex is built for what a linear scan cannot do — symbol and dependency queries, and "every occurrence" on very large trees where scanning every file is the slow part.

When connected via MCP, your AI assistant gets these tools:

Eight older tool names still work but are deprecated: count_occurrences (use search_code with mode: "count"), get_dependents and get_transitive_deps (use get_dependencies with reverse / depth), and find_hotspots, find_circular, find_unused, find_islands, analyze_summary (use analyze with kind).

No rfx index needed after edits. Every command and MCP tool updates a stale index before it answers (only the changed files) and builds a missing one; pass --no-update (rfx mcp --no-update) to answer from the index as it is.

Three behaviours agents rely on:

• Whole identifiers by default. verify_csrf does not match verify_csrf_form_field; pass contains: true for substring matching (grep -F) or ignore_case: true for rg -i. A zero result names the substring count in a hint.
• Freshness on search responses. status and can_trust_results compare the working tree (size, mtime, content hash) with what the index holds; the index is updated before each call, so can_trust_results: false appears only when that update could not run (warnings says why).
• Lock and generated files stay out of the way. They are indexed but excluded from results unless you pass include_locks / include_generated; a zero result caused only by them says so.

See docs/mcp-tool-cheatsheet.md for a decision tree by agent intent.

Reflex also works as a standalone CLI for humans and shell scripts.

# Full-text search (finds every occurrence)
rfx query "extract_symbols"

# Symbol definitions only (faster, uses tree-sitter)
rfx query "extract_symbols" --symbols

# Filter by language and symbol kind
rfx query "parse" --lang rust --kind function --symbols

# Regex search
rfx query "fn.*test" --regex

# Case-insensitive (like rg -i); still uses the trigram index
rfx query "realmid" -i
rfx query "(?i)realm_?id" --regex

# Patterns that start with `-`
rfx query --pattern '-> Result<'

# Count only, with per-phase timings on stderr
rfx query "unwrap" --count --timing

# Include lock files / generated files, or search the plain-text tier only
rfx query "1.0.190" --include-locks
rfx query "timeout" --lang text

# JSON output for programmatic use
rfx query "unwrap" --json --limit 10

# Pipe file paths to other tools
vim $(rfx query "TODO" --paths)

Interactive TUI mode — run rfx query with no pattern to launch live search with keyboard navigation.

rfx deps src/main.rs              # Show direct imports
rfx deps src/config.rs --reverse  # What imports this file
rfx deps src/api.rs --depth 3     # Transitive dependencies
rfx analyze --circular            # Find circular dependency chains
rfx analyze --hotspots            # Most-imported files
rfx analyze --unused              # Files with no incoming dependencies

rfx ask "Find all TODOs in Rust files"         # Translate to rfx query and run
rfx ask "How does authentication work?" --agentic  # Multi-step codebase reasoning
rfx ask                                        # Interactive chat mode

Requires an AI provider configured via rfx llm config (OpenAI, Anthropic, OpenRouter, or any OpenAI-compatible endpoint).

rfx index                 # Build / update the search index (then spawns the symbol pass)
rfx index --force         # Full rebuild from scratch
rfx index status          # Background symbol indexing status
RUST_LOG=info rfx index   # Per-phase timings (read/extract, database, trigram write)
rfx watch                 # Auto-reindex on file changes
rfx stats                 # Index statistics
rfx list-files            # Every indexed file
rfx clear                 # Delete the local cache
rfx context               # Codebase context for AI prompts
rfx snapshot              # Structural snapshots for change tracking
rfx pulse generate        # Documentation site (static HTML) from the index
rfx pulse serve           # Preview it locally
rfx pulse map             # Architecture diagram (Mermaid / D2)
rfx serve --port 7878     # Local HTTP API server

Run rfx <command> --help for full options.

rfx pulse generate builds a two-tab docs site from the index: Docs (overview, guides, CLI and API reference for Rust, Python and Go, a changelog page per release) and Internals (architecture, dependency map, module pages). The output is plain HTML for any static host. It needs Node 22.12+ to build; the site runtime downloads once. An optional LLM adds prose, and a deterministic gate drops any sentence the index does not support. A GitHub Action is included. See docs/features/PULSE.md.

npm install -g reflex-search

cargo install reflex-search

Setup note: run rfx commands from your project root directory. Add .reflex/ to your .gitignore to exclude the search index from version control.

Full symbol extraction (functions, classes, methods, types, etc.) for 15 languages:

Systems: Rust, C, C++, Zig
Backend: Python, Go, Java, C#, PHP, Ruby, Kotlin
Frontend: TypeScript, JavaScript, Vue, Svelte

Swift is temporarily disabled (tree-sitter-swift 0.7.x grammar incompatibility). rfx query --lang swift emits a warning; full-text search still works.

Coverage matches ripgrep's defaults: every non-binary file that is not gitignored and not under a dot-directory (.github/, .githooks/, .cargo/ …). Hidden paths are not indexed unless [index] hidden = true. Lock and generated files are indexed but left out of results unless you pass include_locks / include_generated. Select the non-code tier with --lang text; select lock or generated files alone with --lang lock / --lang generated. [index] mode = "allowlist" indexes only code plus a fixed docs/config extension list; [index] hidden = true indexes dot-directories (never .git/ or .reflex/). A zero result names its cause in excluded_reason (hidden, not_indexed, lock_or_generated, whole_identifier) and a hint. Files without a symbol parser (the text tiers, Swift) are fully text-searchable but yield no --symbols results.

# .reflex/config.toml (project-level)
[index]
languages = []          # Empty = all supported languages
mode = "tracked"        # ripgrep's defaults; "allowlist" = code + a fixed docs/config extension list
hidden = false          # true walks dot-directories (never .git/ or .reflex/)
text_tier = true        # index docs, config and data files as `text`
max_file_size = 10485760  # 10 MB
# Optional, gitignore rules (a `/` anchors at the root; bare names match anywhere):
# include.patterns = ["src/**/*.rs"]
# exclude.patterns = ["vendor/**"]

[performance]
parallel_threads = 0    # indexing and query pools; 0 = auto (80% of cores, max 32)
symbol_threads = 0      # background symbol pass; 0 = auto (50% of cores, max 32)

Environment variables, mostly for benchmarking and CI: REFLEX_INDEX_BATCH_FILES / REFLEX_INDEX_BATCH_BYTES (batch bounds while indexing, default 5000 files / 48 MiB), REFLEX_SYMBOL_THREADS, REFLEX_FRESHNESS_TTL_MS (how long rfx mcp memoises the freshness verdict), REFLEX_MCP_TIMING=1 (a timings object on search responses), REFLEX_SQLITE_JOURNAL=delete (for network filesystems that cannot do WAL).

For AI provider configuration (rfx ask, rfx pulse), run rfx llm config.

Reflex uses a trigram-based inverted index with a background symbol cache:

• Indexing: a thread pool reads and hashes every file, extracts imports with tree-sitter, and extracts trigram postings. Each batch is built per trigram shard in parallel and partial batches are merged by byte copy, so the output is identical whatever the batch boundaries. trigrams.bin and content.bin are written to a temp file, synced and renamed, never left short.
• Symbols: rfx index spawns a detached pass that parses every file once with one combined tree-sitter query per language and stores compressed symbol lists in meta.db. Queries parse cache misses on demand, so --symbols works before the pass has finished.
• Full-text queries: intersect trigram posting lists → verify candidate lines in parallel. Freshness is judged by file content (size, mtime, hash), not by commit, so a commit of already-indexed files is not "stale".
• Symbol queries: trigrams narrow the candidates → their symbols are read from the cache; only cache misses are parsed.

.reflex/
  meta.db          # SQLite: file metadata, symbol cache, dependency graph, stats
  trigrams.bin     # Inverted index (memory-mapped)
  content.bin      # Full file contents (memory-mapped)
  config.toml      # Index settings

rfx serve binds to 127.0.0.1:7878 by default — loopback only, no authentication. Do not expose it to the network. See CLAUDE.md for the full threat model.

cargo build --release        # Build
cargo test                   # Test
cargo clippy --all-targets   # Lint
REFLEX_LATENCY_BUDGET=1 cargo test --release --test latency_budget -- --ignored --test-threads=1   # Query latency budgets
rfx index                    # Refresh index after code changes

See CONTRIBUTING.md for guidelines.

MIT — see LICENSE for details.

Fast code search for developers — works standalone, in scripts, and with AI coding agents