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Mesh terminal agent CLI — token-efficient coding agent with a shared LLM gateway.

Package Exports

  • @trymesh/cli/dist/local-tools.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@trymesh/cli) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Mesh — terminal-first AI engineering agent

Mesh is a terminal agent built to spend fewer tokens on the same work.

Most coding agents resend the whole chat, bloated tool schemas, and redundant file reads every turn. Mesh compacts what goes into the model — tool specs, transcript history, workspace context — so multi-step tasks stay cheap and fast. Same gateway, same models, less noise in the prompt.

npm install -g @trymesh/cli
mesh

On first run, mesh opens sign-in in your browser. Default model is Gemini 3.5 Flash. Requires Node 20+.

Why Mesh

  • Fewer tokens per turn. Compacted tool definitions, session capsules, and context planning cut prompt size versus a raw agent loop — often by a large margin on longer sessions.
  • Cheaper models when it fits. Flash-Lite auto-routing and /model let you trade speed vs. depth without leaving the session.
  • Search before you read. /index builds a workspace index so the agent can grep and search instead of dumping whole files into context.
  • One install, one account. Sign in once; model calls go through the shared Mesh gateway on try-mesh.com.
  • Many models, one session. Gemini, Grok, GLM, Kimi, DeepSeek, Qwen, Llama, and more via /model or --model <alias>.

Benchmarks

Head-to-head on a real multi-turn task (nextjs-full, 3 turns, Gemini 3.5 Flash) — Mesh vs a raw LLM loop on the same model and prompts.

nextjs-full · 3 turns · Gemini 3.5 Flash

Input tokens sent to the model   (lower is better)
  Mesh   ██████████                            27.4K
  Raw    ████████████████████████████████████  94.6K     −71%

Wall-clock time
  Mesh   ██████████████████████                60.0s
  Raw    ████████████████████████████████████  96.7s     −38%
Turn Mesh Raw Reduction
1 4.6K 7.6K −39%
2 8.9K 56.0K −84%
3 13.9K 31.1K −55%
Total 27.4K 94.6K −71%

Replay with mesh eval. Raw baseline uses provider prompt caching, so Mesh’s advantage is conservative.

Quickstart

npm install -g @trymesh/cli
mesh
mesh "fix the failing auth test"
mesh resume
mesh --resume <session-id>

mesh starts the interactive terminal UI. Pass a quoted task for a one-shot run. Use /help in a session for the full command list.

Commands

Command What it does
mesh Interactive session (sign-in on first run)
mesh "<task>" One-shot task, then exit
mesh resume Resume the latest session in this workspace
mesh --resume <id> Resume a specific session
mesh logout / mesh whoami Sign out · show signed-in email
mesh doctor [fix] Diagnose the install
mesh eval [--since <ISO>] Replay turns and measure token efficiency
mesh support Debug info for bug reports

In-session — the five worth knowing:

Command What it does
/cost Token spend and savings this session
/dashboard Live repo dashboard in the browser
/model Switch model (cost vs. quality)
/index Build or repair the workspace search index
/help Full command reference

Models

Default: Gemini 3.5 Flash. Pick another with /model or mesh --model <alias>.

Model Alias Notes
Gemini 3.5 Flash default, 3.5-flash Default — fast
Gemini 3.1 Pro Preview 3.1-pro Stronger reasoning
Gemini 2.5 Pro pro Stable reasoning
Gemini 2.5 Flash-Lite lite Cheapest — auto-routed on trivial turns
Grok 4.20 Reasoning grok-reasoning xAI reasoning
Grok 4.20 Non-Reasoning grok, grok-fast xAI low-latency
GLM 5 glm Z.ai
Kimi K2.6 kimi Moonshot
DeepSeek V4 Pro deepseek Generalist
Qwen 3 Coder qwen Code specialist
Llama 4 llama, maverick Meta MoE
GPT-OSS 120B gpt-oss Open weights

If the primary model errors out, Mesh tries Gemini 2.5 Pro, then Kimi K2.6.

Account

  1. Go to try-mesh.com and create an account (free tier available).
  2. Run mesh in your project — the CLI opens browser sign-in and stores your session in the OS keychain (with a ~/.config/mesh fallback).
  3. Pro plan: email edgar.baumann@try-mesh.com or philipp.horn@try-mesh.com to request access.

Your prompts and code context are sent to the model provider you select to generate responses. Run mesh logout to clear local credentials.

Requirements

try-mesh.com · Docs · Changelog

Contact

License

Mesh Commercial License — see LICENSE.