Lune vs SineFrame M3: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Lune and SineFrame M3 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Lune

Retrograde Labs

Freemium

MCP server that grounds AI agents in full-text papers from top-tier computer science conferences plus research best practices.

Full-text Semantic Search: Search plain-language queries across papers from top-tier conferences all at once.
Full-text Reading: Agents read whole papers via get_paper_fulltext rather than abstracts alone.
Citation Tracing: See what a paper builds on and what later work builds on it.
Research Best Practices: Guidance on novelty bars, baselines, ablations and review patterns surfaced when relevant.
Claim Checking: Verify that cited claims match the source papers.
Curated Venues: Only A/A* and CCF A conference papers, filtering out workshop and abstract-only noise.
Works with Many Clients: Install in Claude, ChatGPT, Cursor, Claude Code and dozens of other AI clients.

Literature Review: Find foundational papers and research gaps in a new area.
Novelty Checks: Test whether an idea is already covered by prior work.
Experiment Design: Get baseline and ablation expectations reviewers will look for.
Related-work Writing: Draft positioning paragraphs with citations verified against sources.
Peer Review Prep: Check a draft against common review patterns.
Student Onboarding: Learn the key papers of an unfamiliar subfield.

SineFrame

Free

Pytest-based CI gate for MCP servers that tests them against real agents like Claude Code and Codex.

Real Agent Harnesses: Runs Claude Code, Codex, OpenCode or Pi binaries so tool choice reflects real discovery and permission flows.
Tool Call Assertions: Records every MCP tool call and lets tests assert expected calls and arguments.
Direct Server Tests: Checks schemas, results and errors without a model in ordinary pytest files.
Cross-Harness Comparison: Runs the same tests across harnesses and versions to catch regressions after agent updates.
CI Gate: `m3 ci test` fails on broken assertions or when no tests executed at all.
Bring Your Own Agent: Any agent speaking the Agent Client Protocol can be added via a manifest.
Local Reports: Stores run history in SQLite and feedback reports, with an optional `m3 test --ui` viewer.

MCP Regression Testing: Verify agents still call the right tool after changing tool descriptions.
Agent Compatibility: Check whether a server that works in Claude Code also works in Codex or OpenCode.
Release Gating: Block pull requests that break MCP behavior in CI.
Upgrade Monitoring: Compare behavior across versions of Codex or other harnesses.
Debugging Misrouted Calls: Inspect recorded tool calls to see why an agent asked for the wrong argument.
Test Authoring: Hand setup to a coding agent via the copyable skill prompt.