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Slaunt vs Perseus Computing

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Slaunt compared with Perseus Computing
DetailSlaunt logo SlauntPerseus Computing logo Perseus Computing
What it doesThe all-in-one agentic AI solution for your organization High-assurance infrastructure for AI agents
StageStartup Not given
Founded2024 Not given
Based inNot given US
Pricing modelFreemium Open source
PricingStarter (free), Professional ($29/seat/month), Enterprise (contact for pricing) Not given
Key features
  • Centralized context repository for unifying work signals across tools
  • MCP protocol integration with AI assistants and tools
  • First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
  • Per-agent scoped access with full audit trail
  • Custom vector embeddings for agent memory
  • Instant agent shutdown from anywhere globally
  • QUAERO enterprise AI agent governance system
  • Two-way sync with tools for agent actions and work flows
  • Support for custom MCP servers and internal tools
  • Real-time organizational context for agent reasoning
  • Harpe: chooses what an AI agent reads under a token budget with consistent results
  • Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
  • Argus: append-only record that detects edits with cryptographic verification
  • No network code by default for local and disconnected use
  • MIT License with published code, benchmarks and raw results
What makes it different
  • AI-first design with structured, queryable context rather than static documentation
  • Consistent policy and audit rules across all integrations
  • MCP-native integrations with no bespoke connectors to maintain
  • Instant global agent shutdown capability
  • Guardrails on every agent run by default
  • Measured empirical validation across 6,111 questions outperforming full-context models
  • Zero plaintext on disk with encrypted vaults matching plaintext accuracy
  • 78.3% fewer tokens sent to the model with a 1,200-token budget per turn
  • Preserves conversational chronology and relational qualifiers under token budgets
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)4 no change since last check42 +1 (up) since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)2824
Referring domains (Majestic)4062

4 details filled in for both companies.

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