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heymrun / heym

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Python★ 1,393
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github.com/heymrun/heym·Indexed at 9b62de8·6d ago·Up to date with upstream

About this codebase

Heym is a self-hosted runtime and platform for building, orchestrating, running, observing, evaluating, and controlling agentic systems end-to-end: you define a workflow (graph of agents, deterministic steps, tools, and data), the runtime executes that graph with dependency/parallel coordination while recording execution history, and it outputs human-reviewable results plus interfaces to inspect, review, and consume execution state. In practice, the inputs are workflow definitions and connected tool/knowledge configurations; the pipeline is Build → Orchestrate → Run → Observe → Evaluate → Control → Expose; and the outputs are coordinated execution traces, tool results, evaluation artifacts, and exposed interfaces for people and downstream systems.

Written by gpt-5.4-nano from the index

1,643 files and 20,286 symbols in 5 modules, led by Python (786 files) and Vue (312).

Start reading

  • Knowledge graph1,643 files and how they depend on each other.→
  • AI Assistant Yolo FlowDocumentationDocumentation for frontend/src/features/assistant-yolo, written by gpt-5.4-nano.→
  • Keep Mako pinned at >=1.3.12DecisionProposed decision, from a pull request.→

Code health

6.6out of 10Fair

This codebase scores 6.6 out of 10 for code health, which we rate fair. It also scores maintainability 6.7 and static performance 9.6 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 160 of 1,643 files are git hotspots, and they average 4.1 — which is where the fixes pay off most.

Full health report →

On the leaderboards:#30 of 44 Python repos

Do next

2 things worth doing in the week to Oct 1, the last indexed commit, 2 of them now.

Now

  • Critical

    Clean up what this week's commits left: 42 serious findings in 14 files

    7 commits in the last 7 days added or worsened them, and they are still open. Start with backend/app/services/hitl_service.py, which has 4 critical.

    serious findings
    42
    critical
    8
    files
    14
    Large effort
  • High

    Start breaking up execute (CCN 44, 190 lines): first lift lines 169-188

    backend/app/services/node_execution/nodes/llm_node.py:169

    execute nests its control flow deeply, and part of it is duplicated, so splitting it also removes a copy; 3 files import it, changed 5 times in 90 days.

    gain
    +0.6 health on this file(inferred)
    health recoverable
    +0.6(inferred)
    size
    CCN 44, 190 lines, nests 6 deep
    steps
    2 (1 mechanical)
    Small effort

Improve what Repowise can see

  • Add a test coverage report

    Without one, Repowise cannot tell tested code from untested code, so every test-related action says “unknown”.

    line coverage
    Unknown, no report
    Small effort
All actions in the Overview →

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Go deeper

  • OverviewEverything the index found, what changed this week, commits and decisions.→
  • DocumentationModule-by-module documentation, 1,859 pages, 40 written by a model.→
  • ArchitectureDependency graph, layers and third-party dependencies.→
  • Code healthEvery file's score, the findings behind it, tests and refactoring plans.→
  • CommitsEach commit's effect on code health, with agent provenance.→
  • ContributorsWho owns what, and where one person holds most of the knowledge.→
  • DecisionsArchitectural decisions mined from commits and pull requests.→
  • Ask this codebaseSign inGrounded answers over the indexed code.→

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How heymrun/heym works

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure. This page is a map of the heymrun/heym repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.

The codebase has 1,643 files and 20,286 symbols in 5 modules, led by Python, Vue and TypeScript. Code health is 6.6 out of 10, rated fair.

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