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Orkas vs Memnest

OrkasMemnest

Bottom line: Orkas for solo founders and indie builders; Memnest for privacy-conscious developers.

Open-source local-first AI workforce coordinated by a Commander through one chat

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Local-first memory for AI coding agents, via one MCP service

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Votes00
PricingFreemiumFree
CategoryAi AgentsMcp
Tags
open-sourcelocal-firstmulti-agentai workforcebyo-keys
mcpai-memorylocal-firstcoding-agentsopen-source
Best for
  • Solo founders and indie builders
  • One-person businesses
  • Small teams wanting reusable workflows
  • Privacy-conscious developers
  • MCP / Claude Code / Codex users
  • Self-hosting enthusiasts
Pros
  • Open-source under the MIT license
  • Local-first: files, history, and keys stay on your machine
  • Commander coordinates a team of specialist agents
  • Bring your own keys across many providers or use managed models
  • Drives external coding CLIs like Claude Code and Codex
  • Fully local-first — no data leaves your machine, no external LLM calls
  • Works across pi, Claude Code, Codex, and any MCP client via one service
  • Hybrid BM25 + vector search finds both exact tokens and paraphrases
  • SQLite source of truth with rebuildable indexes (resilient to corruption)
  • Encrypted AES-256-GCM vault for secrets, kept separate from memory
Cons
  • Desktop client, not a server, so no team self-hosting
  • Team collaboration and remote control are only planned
  • Managed-model credits are metered and track provider pricing
  • Fast weekly releases mean an evolving feature surface
  • No mobile app or browser extension
  • Very early-stage project with minimal adoption so far
  • Self-hosted only — no managed or cloud option
  • Prebuilt install is Linux-first (Windows/WSL via scripts or a source build)
  • Requires manual setup to wire into each agent/harness
  • No team collaboration or shared-server hosting out of the box

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