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📖 The AI Tool Bible

LynxKite vs Stele

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 LynxKite logo
LynxKite
Agents
Stele logo
Stele
Agents
TaglineNo-code AI orchestration platform built for graph-native pipelines in drug discovery and enterprise analytics.Shared project memory for AI coding agents across Claude Code, Cursor, Codex, and Copilot
CategoryAgentsAgents
PricingEnterprise· Contact sales; no public pricingFreemium· Free: $0/ forever · Pro: $12/ month · Team: $20/ user / mo
ModelMulti-model (LLM agents + GNNs + NVIDIA BioNeMo)—
Editorial score6.9 / 10—
Use cases
drug-discoverygraph-neural-networksknowledge-graphsai-workflow-orchestrationenterprise-ml-pipelines
shared memory across AI coding agentscross-tool project context handofftask queue for multi-agent workflowsagent onboarding from an existing codebasetracking failed refactor attemptscoordinating Claude Code and Cursor on one repoMCP-based agent memory backendarchitectural decision log for AI agents
Pros
  • Graph-native: first-class GNNs and knowledge graphs, not bolted on
  • GPU-accelerated via NVIDIA cuGraph and BioNeMo integrations
  • No-code workflow builder usable by non-engineer domain experts
  • Pre-built pharma pipelines shorten time to first model
  • MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
  • One-line CLI install with automatic onboarding from an existing repo
  • Shared task queue prevents two agents from duplicating the same work
  • Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends
  • Free tier is genuinely usable for solo developers (unlimited public projects, one private)
  • Self-hosted SQLite edition on the roadmap for teams that need local data
  • Export and deletion controls on private project graphs
Cons
  • No public pricing; enterprise sales cycle required
  • Current 2000:MM version is not open source (older 5.x is)
  • Narrow sweet spot outside pharma, finance, and retail verticals
  • Currently hosted-only; the promised self-hosted build is not yet shipped
  • Value depends on running multiple agents or switching tools often, less compelling for single-agent users
  • Shared memory across agents can propagate a bad decision if not curated
  • Early-stage product with limited public track record and small community
  • Private project quota on the free tier is tight for anyone with several client repos
Websitelynxkite.comstele-ai.dev
Pick LynxKite if
  • ✅ Graph-native: first-class GNNs and knowledge graphs, not bolted on
  • ✅ GPU-accelerated via NVIDIA cuGraph and BioNeMo integrations
  • ✅ No-code workflow builder usable by non-engineer domain experts
  • ✅ Pre-built pharma pipelines shorten time to first model
Pick Stele if
  • ✅ MCP-native, so it works with Claude Code, Cursor, Codex, and Copilot without per-tool adapters
  • ✅ One-line CLI install with automatic onboarding from an existing repo
  • ✅ Shared task queue prevents two agents from duplicating the same work
  • ✅ Graph-based memory captures failed attempts, not just successful ones, so agents stop repeating dead ends
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