Ross ROSS = Recommend OSS · open-source software intelligence for agents

EverMind-AI/Raven

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration. observed · 2026-08-28

github.com/EverMind-AI/Raven · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 99
  • Longevity 7

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 3
  • age_days: 104
  • days_rel: 8
  • days_push: 7
  • n_releases_24m: 14

Full methodology

Adoption not part of the score

3640 stars · 69 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Raven is an open-source, self-improving agent harness built on EverOS that combines terminal-first execution, local tracing, long-term memory, skills, evaluation, and reusable workflows for long-running AI agent work. It continuously improves through an evaluation-execution-verification-memory-feedback loop and composes specialized agent harnesses into an all-domain collaboration network.

Use cases

  • run long-running AI agent tasks with persistent memory
  • build a self-improving personal AI agent that learns from past runs
  • orchestrate multiple agents across different domains and models
  • evaluate and benchmark agent performance on task quality and cost
  • migrate existing agents and reuse a large library of built-in skills
  • build custom agents for specific scenarios and share them

When to choose

  • you need a persistent, memory-first agent that improves over time
  • you want terminal-first agent execution with local tracing and evaluation
  • you need multi-model, multi-domain agent orchestration with verified capability routing
  • you want an open-source alternative to closed agent harnesses with a large skill ecosystem

When to avoid

  • you need a simple one-shot chatbot without memory or self-evolution
  • you require a fully mature, battle-tested production system with long-term support
  • you want a lightweight agent library to embed in your own codebase rather than a full harness platform
  • you are uncomfortable with a system that rewrites its own skills, runtime, and policies

Facets

framework · maturity active

agent-framework llm-inference rag machine-learning workflow-automation cli artificial-intelligence large-language-models developer-tools python windows cli cross-platform agent-harness self-improving long-term-memory multi-agent everos skills evaluation terminal-first self-evolving ai-agents automation macos linux

3 sources

Member repositories

RepositoryRoleHealth v2
EverMind-AI/Ravenmain81

For agents

markdown · JSON · MCP: product_card(name="EverMind-AI/Raven")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem