# vitalops/openvibe

Modular Auto-GPT Framework

Repository: https://github.com/vitalops/openvibe
Canonical: https://ross.abutalabs.com/products/openvibe
Language: Python
License Family: other
Topics: chatgpt, gpt, gpt4, llms
Last push: 2026-07-03T09:29:12+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 90, release rhythm 8, longevity 88
- inputs: {"age_days": 1237, "days_push": 61, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1450, forks 133 (observed 2026-08-28T04:04:45.813907+00:00)

## What it is
Openvibe is a Python implementation of opencode, an open-source AI coding agent that runs terminal commands, edits files, and executes agent loops against LLM providers. It ships as a CLI with a FastAPI HTTP/SSE server, session management, built-in tools, and MCP client integration.

## Use cases
- run an ai coding agent from the terminal
- have an llm fix failing tests automatically
- self-host an opencode-compatible coding agent
- connect llm agents to mcp servers
- manage multi-session ai coding workflows
- use claude or gpt models to edit code in a project

## When to choose
- you want an open-source, self-hosted AI coding agent in Python
- you need swappable LLM backends via litellm and MCP tool integration
- you prefer a CLI-first workflow with an optional HTTP/SSE server

## When to avoid
- you need a polished GUI coding assistant like commercial IDE plugins
- you require a permissive license - the repo has no license, so reuse is legally restricted
- you want a battle-tested stable tool rather than an active but young project

## Facets
- artifact type: cli-tool
- maturity: active
- function: agent-framework, llm-inference, cli, mcp, http-server, developer-tools
- domain: large-language-models, developer-tools
- platform: python, cli, cross-platform
- tags: ai-coding-agent, opencode, litellm, fastapi, sqlite, sse, code-assistant, ai-agents, command-line

## Member repositories
- vitalops/openvibe (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.813907+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:57.933200+00:00, confidence not recorded.
  - readme: https://github.com/vitalops/openvibe (fetched 2026-08-28T04:04:45.813907+00:00, sha cb3e6ffe0ae1)
- Data as of 2026-08-30T08:39:29.467469+00:00.