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free-fast-mode

v0.1.0

Published

free-fast-mode: a performance layer for coding agents

Downloads

100

Readme

free-fast-mode

free-fast-mode is a performance layer for coding agents.

It does not replace agent planning. It accelerates execution of common agent operations with batching, caching, deduplication, speculation, and narrowing.

What It Optimizes

  • reading many files
  • text search
  • related-file resolution
  • test discovery
  • targeted test command selection
  • output summarization
  • workspace snapshot capture

Execution flow:

agent -> operation -> optimizer -> execution -> cache

Install

No global install is required for plugin use.

npx -y free-fast-mode plugin scaffold --target all --out .ffm-plugins

This generates Claude + Codex plugin bundles in .ffm-plugins/.

For local development:

npm install
npm run build
npm link

CLI

ffm serve
ffm status
ffm snapshot
ffm bench
ffm clear-cache
ffm plugin scaffold --target all --out .ffm-plugins

MCP Tools

The server exposes:

  • ffm_read_files_batch
  • ffm_search
  • ffm_get_cached
  • ffm_resolve_related_files
  • ffm_discover_tests
  • ffm_run_test_target
  • ffm_summarize_outputs
  • ffm_workspace_snapshot

Start server:

ffm serve

Transport is line-delimited JSON-RPC with MCP-style tool semantics.

Claude Code

Use plugin scaffolding:

ffm plugin scaffold --target claude --out .ffm-plugins

Then apply .ffm-plugins/claude/settings.json.

See docs/claude.md.

Codex

Use plugin scaffolding:

ffm plugin scaffold --target codex --out .ffm-plugins

Then apply:

  • .ffm-plugins/codex/mcp.json
  • .ffm-plugins/codex/AGENTS.md
  • .ffm-plugins/codex/skill-free-fast.md

See docs/codex.md.

Benchmarks

Run:

ffm bench

Default benchmark behavior:

  • runs 8 representative scenarios
  • runs each scenario 20 times for baseline and 20 times for optimized
  • reports statistical summaries (mean, median, p95, stddev, min/max)
  • optional override: ffm bench --iterations 5

Outputs:

  • benchmarks/latest/metrics.json
  • benchmarks/latest/report.md

Metrics include wall-clock, tool calls, repeated reads avoided, cache/search reuse, and targeted test selection.

Examples

  • examples/demo-repo-js
  • examples/demo-repo-py

Current Limitations

  • The MCP transport is lightweight and focused on local stdio usage.
  • Heuristics for related files are practical but intentionally simple.
  • run_test_target defaults to command selection and supports optional execution.