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Agentic supervisor for building and repairing multi-repository environments

Project description

RepoResolve

RepoResolve is an agentic supervisor system that builds and repairs multi-repository environments. It guides you through input collection, analyzes dependency metadata, and iteratively proposes environment changes using a reasoning agent while deterministic tools execute the steps.

What It Solves

  • Bootstrapping a working environment across multiple repos
  • Identifying dependency conflicts and setup failures
  • Iteratively refining environment proposals until smoke tests pass

Quickstart

pip install -e .
reporesolve

Example Output (Trimmed)

RepoResolve - Starting supervisor run...
Cloning repos... OK
Inspecting repos... OK
Parsing dependencies... OK
Attempt 1/3
Build... OK
Install... OK
Smoke tests... OK
Success

How the Agent Loop Works (High Level)

  1. Tools inspect repositories and parse dependencies.
  2. The agent proposes an environment decision in strict JSON.
  3. Tools build/install/test the environment.
  4. Failures are summarized and sent back to the agent for revision.
  5. The loop stops on success, agent stop, or max attempts.

Configuration

RepoResolve reads API keys from .env (if present) or environment variables.

Example .env:

OPENAI_API_KEY=your-key
ANTHROPIC_API_KEY=your-key

Commands

  • reporesolve (start guided flow)
  • reporesolve start
  • reporesolve config
  • reporesolve resume
  • reporesolve doctor
  • reporesolve version

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