What did Hlido score Raven (EverMind)?

Raven (EverMind) scored 70/100 (STEADY) in Hlido's independent, hands-on review.

How much does Raven (EverMind) cost?

Hlido recorded the pricing model as: Open source. Derived from evidence Hlido holds, not vendor-supplied; verify current prices on the vendor's pricing page.

Does any vendor pay Hlido for placement?

No. Hlido takes no money from the agents it rates — scoring weights stay private and the evidence behind every verdict is public.

Raven (EverMind)

Name: Raven (EverMind) review
Item: Raven (EverMind)
Rating: 70
Author: Hlido Editor

Workflow & Automation · tested 2026-10-02 · re-test due 2027-01-02 · by the Hlido desk, not the vendor

In short: A multi-agent orchestration layer that sits above the coding agents you already run (Claude Code, Codex, Copilot, Qwen and more) — real GitHub traction and broad interop, wrapped in heavy 'self-evolving / RSI' language that the surface can't back up.

5 PASS · 0 FAIL of 5 public-surface claims

Visit Raven (EverMind) → scorecard.json

Quick answer

Raven (EverMind) scores 70/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-10-02). STEADY (70) rests on two real signals: broad, concretely-named interop across the major coding agents, and visible GitHub traction (~5k stars) that most new entrants do not have. Pricing: Open source (free entry point documented).

Hlido Editor · 2026-10-02

Raven, from EverMind, bills itself as 'the Harness of Harnesses' — a self-evolving multi-agent orchestration ecosystem that interprets a goal, assembles the right specialists, and keeps every handoff visible across a long list of agents you might already use (Claude Code, Codex, GitHub Copilot, Qwen Code, Grok, Kimi, and its own Raven variants). It installs on macOS/Windows via a curl one-liner and is on GitHub with a visible ~5,000-star count, which is a genuine, if early, traction signal that most entrants lack. Hlido's read: the core idea — one surface that routes a goal across whatever harnesses you have and makes the orchestration legible — is a real and useful abstraction, and the breadth of named integrations suggests actual interop work rather than vapor. What Hlido discounts is the framing. 'Self-evolving', 'Built for RSI' (recursive self-improvement) and 'Harness of Harnesses' are large claims that a landing page cannot substantiate, and Hlido did not install Raven, run an orchestration, or verify that the handoffs, presets or 'self-evolution' behave as described. Two practical notes for adopters: a 'curl | bash' installer warrants the usual scrutiny before running, and the real test of an orchestrator is reliability under multi-step handoffs, which only a hands-on run reveals. Credible and unusually well-connected for its stage; the grand self-improvement language is marketing until proven.

Why STEADY

STEADY (70) rests on two real signals: broad, concretely-named interop across the major coding agents, and visible GitHub traction (~5k stars) that most new entrants do not have. It is held at the STEADY floor rather than higher because the flagship 'self-evolving / RSI / Harness of Harnesses' framing is unverified, Hlido did not run it, and confidence is low on a single-surface read — orchestration reliability can only be judged hands-on.

Public-surface checklist

PASS Homepage loads (required)
PASS Primary value prop (required) — 'Every agent, one surface' — multi-agent orchestration
PASS Cta present (required) — Install one-liner + 'View On GitHub'
PASS Pricing or access — Free install via curl + public GitHub; no paid tiers captured
PASS Evidence or demo — 'See in run' section + public repo; not exercised by Hlido

What it does well

Clear, useful abstraction: one surface that routes a goal across the harnesses you already run and keeps handoffs visible
Broad, concretely-named interop (Claude Code, Codex, GitHub Copilot, Qwen Code, Grok, Kimi and its own Raven variants)
Visible GitHub traction (~5,000 stars) — a real early-adoption signal
Cross-platform install (macOS/Windows) with presets to lower the starting effort

What it fails at

'Self-evolving' / 'Built for RSI' / 'Harness of Harnesses' are large claims unsupported by the public surface
Not installed or exercised by Hlido — orchestration reliability, handoff quality and 'self-evolution' are unverified
'curl | bash' install path warrants security scrutiny before running
No pricing/limits or data-handling detail captured from the surface

Red flags

Markets 'self-evolving' and 'Built for RSI' (recursive self-improvement) — strong claims not substantiated on the public surface; verify hands-on before relying on them
Primary install is a 'curl | bash' one-liner — review the script before executing

Best for

Developers already juggling multiple coding agents who want a single orchestration surface over them
Teams that value visible handoffs and presets when composing multi-agent workflows
Early adopters comfortable evaluating a fast-moving open project hands-on

Not recommended for

Teams needing a stable, supported orchestrator with documented reliability guarantees
Security-conservative environments uneasy with a curl-pipe installer
Buyers who would take 'self-evolving / RSI' claims at face value without testing

Pricing & access

ModelOpen source
Free entry pointYes — a free tier or open-source edition is documented
Pricing findable on the public surfacePASS Free install via curl one-liner and public GitHub repo; no paid tiers shown on the surface (tested 2026-10-02)

Derived from Hlido-held evidence only (public-surface capture + editorial text); not vendor-supplied; re-derived daily. Verify current terms in the project's repository. Last verified 2026-10-02.

Agent relevance

CLI Behavioral-testable

Raven is itself an agent-orchestration layer: installed via CLI (curl one-liner), it drives and coordinates other coding agents you already run. Open on GitHub and installable, so it is behaviorally testable by running it; no separate API/MCP surface is advertised for an outside agent to drive Raven itself.

Agent-friendly score: 7/10

Evidence

Orchestrates/routes goals across multiple existing agents (Claude Code, Codex, Copilot, Qwen, etc.) — source (2026-10-02) verified
Installable on macOS/Windows; public GitHub repo with ~5,000 stars — source (2026-10-02) verified
Self-evolving / built for recursive self-improvement (RSI) — source (2026-10-02)

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-2+editorial-narrative-v2 · Methodology version 2026.09 · Next review due 2027-01-02

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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