# Frz2004/LongRun-Harness

> Model-agnostic harness for running AI agents on long-horizon tasks with hundreds of tool calls: handles context management, checkpoints, parallel execution, MCP, and multi-agent coordination.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 101 total · +0 stars on 2026-09-24 (UTC), ≈ 0 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-09-07 · Last push: 2026-09-08
- GitHub: https://github.com/Frz2004/LongRun-Harness · Page: https://gitnova.dev/en/r/Frz2004/LongRun-Harness

## Useful for

- Run an agent on a multi-hour task with crash recovery from checkpoints
- Connect MCP servers and execute independent tool_calls in parallel
- Assemble a Planner/Coder/Tester/Reviewer crew for a complex task

## Why it’s here

- The repository is 17 days old and already has 101 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 0
- Watchers: 3
- Average over the last week: 0 per day
- Usual pace: 5 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 12 days

09-13 0.0, 09-14 0.0, 09-15 0.0, 09-16 0.0, 09-17 0.0, 09-18 0.0, 09-19 0.0, 09-20 0.0, 09-21 0.0, 09-22 0.0, 09-23 0.0, 09-24 0.0

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-24 00:01 UTC, updated every 30 minutes.