MIMRY

Finds the files a coding task touches, so your agent reads less.

71% fewer tokens to reach the code a task changes, in a scripted retrieval benchmark.

If MIMRY saves your agent tokens, please star it.

MIMRY is a command-line tool that tells AI coding agents which files, and which lines in them, to read for a task. It parses a repository into symbols and a dependency graph, keeps the index on your machine, and ranks the files that matter for a task described in plain words. The index is deterministic: the same code gives the same graph, rankings and context pack on Windows, Linux and macOS, and no LLM is involved in building it. Agents call it from the shell or through its MCP server.

Installation

Get started in four steps.

1. Install uv, the tool that installs MIMRY. Pick the command for your system. macOS or Linux:

   curl -LsSf https://astral.sh/uv/install.sh | sh

Windows, in PowerShell:

   powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then open a new terminal. Already have uv? Skip this step. For other ways to install uv, see the uv installation guide.

1. Install MIMRY.

   uv tool install mimry

MIMRY needs Python 3.11 or newer on Windows, Linux or macOS. uv downloads a suitable Python itself if none is installed. If the shell says mimry is not found, run uv tool update-shell, then open a new terminal.

1. Connect your agent. This is what makes the agent use MIMRY on its own. Claude Code users pick one of these two, not both:

   /plugin marketplace add jbacalso24/mimry

/plugin install mimry@mimry

or run mimry install --platform claude-code. Other agents: run mimry install --platform , see Supported agents.

mimry install --platform claude-code also adds MIMRY's hooks, which steer the agent to MIMRY and do nothing in folders MIMRY has not set up. Add --no-hooks to leave them out. With --project, --always-on also adds MIMRY's rules to the agent's always-read file.

1. Check it works. In a repository, run mimry preflight " ". The first run builds the index and downloads the tree-sitter grammars it needs, once per user. If something looks off, run mimry doctor.

[!NOTE]

To upgrade, run mimry upgrade.

On Windows, mimry upgrade refuses while MIMRY servers run, and mimry upgrade --stop-servers stops them first.

Other ways to install

These replace steps 1 and 2, or add an optional feature.

• pipx or a venv
• Docker
• Claude Code plugin
• npx skills, for other agents, skill only
• Embeddings, for search by meaning

Quick start

Run mimry preflight in your repository with a task description. The first run builds the index.

mimry preflight "Fix session cookie not refreshed when SESSION_REFRESH_EACH_REQUEST is set"

Output on the Flask repository:

Start with

1 src/flask/sessions.py name matches · path matches · connected to other matches read first: lines 202-206 (get_cookie_secure), 233-247 (should_set_cookie) 2 src/flask/ctx.py name matches · connected to other matches read first: lines 154-206 (copy_current_request_context), 395-403 (session) 3 src/flask/testing.py name matches · connected to other matches read first: lines 135-183 (session_transaction), 193-202 (_request_from_builder_args)

The same result is written to .mimry/mimry-out/context/latest.md as a context pack for the agent, with the matched symbols, related files and the project's test commands.

Prompt hook: Name the files for each task. Token savings: See the tokens MIMRY saved.

Features

• Ranked lookup. Ranks files and names the lines to read first in each.
• Code graph. Parses 41 languages with tree-sitter.
• Deterministic. Same code, same results on every machine (how).
• Documents. Indexes Markdown, PDF, Word, Excel and PowerPoint.
• Incremental. Re-reads only the files that changed.
• Feedback. Ranks files that helped on similar tasks higher.
• MCP server. Exposes every lookup as an MCP tool.
• Local. No LLM, API key or telemetry.

Supported languages

MIMRY parses these with tree-sitter.

Every extension is in docs/languages.md.

Supported agents

mimry install --platform installs a skill that teaches the agent when to use MIMRY, and registers the MCP server where the agent supports it.

✅ means mimry install sets it up, and manual means you add the MCP server by hand. none means the agent has no MCP support, so the skill alone covers it. not yet means mimry install does not register an MCP server for the agent yet.

Each agent's files, the install options and manual MCP setup are in docs/agents.md.

Usage

mimry preflight "<task>"            # list the files and lines to read first, and write a context pack

mimry find " " # rank files for a query mimry symbol # find where a function, class or heading is defined mimry callers # list the functions that call a function, from the graph mimry callees # list the functions a function calls, from the graph mimry related " " # list files connected through imports and calls mimry explain " " # show the key files and symbols, and how they connect mimry why --query " " # explain why a file ranked mimry feedback ... # record which files helped mimry status # check whether the index is current mimry doctor # diagnose the install and the index

See docs/commands.md for every command and option. When something misbehaves, see docs/troubleshooting.md.

Configuration

A mimry.toml at the repository root controls which files are indexed. Commit it so everyone on the team gets the same index. The options and examples are in docs/configuration.md.

Benchmarks

These numbers come from a scripted retrieval benchmark, not from complete agent sessions. Measured with MIMRY 0.9.0 on 44 merged pull requests from 6 open-source projects, the set rerun for every release:

Method, SWE-bench results and a worked example: docs/benchmarks.md.

How it works

MIMRY parses each file into symbols and edges, ranks files against a task, and re-reads only the files that changed. The three steps are described in docs/how-it-works.md.

Privacy

Indexing and search run locally. Credential files are skipped. The details, including how secrets are redacted, are in docs/privacy.md.

Contributing

Bug reports and pull requests are welcome. See CONTRIBUTING.md for setup and checks. MIMRY is in public alpha, and its interfaces may change before 1.0.

Thanks to everyone who has contributed:

License

MIT