Process large codebases using the RLM (Recursive Language Model) pattern
Project description
coderlm
Process large codebases with Coding Agents using the RLM (Recursive Language Model) pattern — with bundled context guards to keep the agent's output from flooding its own context window.
Instead of stuffing all files into an LLM's context window, give it a file listing and let it use tools to peek, decompose, and recursively call itself on subsets. This keeps each agent focused on a manageable scope while covering arbitrarily large codebases.
Install
# npm / bun
bunx coderlm@latest
npx coderlm@latest
# pypi
uvx coderlm
pipx run coderlm
Or install globally:
npm i -g coderlm # npm
uv tool install coderlm # pypi
Usage
coderlm <agent> <globs...> --prompt "<task>" [--max-depth N] [--allowedTools TOOLS]
Examples
# Codex
coderlm codex "src/**/*.ts" --prompt "Find all TODO comments"
coderlm codex "src/**" "lib/**" "test/**" --prompt "Find dead code"
coderlm codex "**/*.ts" --prompt "Summarize the codebase" --max-depth 2
# Gemini
coderlm "bunx --bun @google/gemini-cli" "**/*.py" --prompt "Review for security issues"
coderlm "bunx --bun @google/gemini-cli" "src/**" --prompt "Architecture overview"
# Claude (non-recursive only — Claude cannot spawn nested Claude sessions)
coderlm claude "src/**" --prompt "Fix type errors" --allowedTools "Bash,Edit"
How It Works
- Expand globs into a file listing using
fd(orfindas fallback) - Build a system prompt containing the file list and RLM instructions (explore, decompose, aggregate)
- Inject context guards via
BASH_ENVso every bash subshell the agent spawns has output truncation active - Launch the agent with agent-specific flags for non-interactive execution
The agent receives a file listing — not file contents. It uses shell tools (rg, cat, head, jq, etc.) to inspect files as needed. For large file sets (>20 files), it spawns recursive sub-agents on subsets.
Context Guards (bundled)
bashrlm.sh is bundled and auto-activates for every agent run. It wraps high-output commands (cat, grep, rg, jq, find, ls, curl, etc.) with automatic truncation, preventing the agent from flooding its own context window with oversized output.
Truncation uses head+tail mode — the agent sees the start and end of any large output, with the middle omitted:
[TRUNCATED — showing 2000 of 15000 chars, first and last 1000]
Guards are redirect-aware: piping to a file (> /tmp/out.txt) bypasses truncation, so multi-step processing works naturally. The agent's system prompt includes instructions for this pattern.
Supported Agents
| Agent | Command | Notes |
|---|---|---|
| OpenAI Codex | codex |
Recommended — supports recursive sub-agents |
| Google Gemini | bunx --bun @google/gemini-cli |
Supports recursive sub-agents |
| Claude Code | claude |
Non-recursive only — cannot spawn nested Claude sessions |
| Any CLI | my-agent |
Combined prompt passed as single argument |
When to Use
- Many files to analyze (>10)
- Task benefits from divide-and-conquer
- Total content exceeds a comfortable context window
- You want the agent to explore strategically rather than read everything upfront
Project details
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