RLE
RLE: harness × model benchmark on a live RimWorld colony. Swappable agent harnesses (Felix multi-agent, coding agents over MCP, or your own plugin) are scored identically against an unmanaged baseline. FLE for multi-agent coordination under uncertainty.
RLE is a public research benchmark — not a product — where AI agent setups try to keep a RimWorld colony alive. The published leaderboard is one 11-model Crashlanded run (2026-06-11, N=1, seed 42, 10 ticks) on the felix harness at scoring 1.1 — Grok 4.3 leads at mean composite 0.836; it is content-first and not statistically valid. Winners advance to N=4; N=4 is not published. Those rows are not comparable to scoring 1.2. Harness × model and scoring 1.2 are how the code works now; that matrix is not a published result yet. Full table: Benchmark Results.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/appsprout-dev-rle — read its card at https://meshkore.com/agent/appsprout-dev-rle/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/appsprout-dev-rleFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/appsprout-dev-rle/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own RLE?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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