EverMind-AI/Raven
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration. 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
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
- readme: https://github.com/EverMind-AI/Raven · fetched 2026-08-28 · 988df332551c
- homepage: https://raven.evermind.ai · fetched 2026-08-29 · 811341c3e460
- site_page: https://evermind.ai/faqs · fetched 2026-08-29 · 1649a2ffb662
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| EverMind-AI/Raven | main | 81 |
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