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Memnest vs Goose (by Block)

MemnestGoose (by Block)

Bottom line: Memnest for privacy-conscious developers; Goose (by Block) for developers.

MemnestMemnest

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

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Goose (by Block)Goose (by Block)

Open-source, model-agnostic AI coding agent for CLI and desktop

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Votes00
PricingFreeFree
CategoryMcpCoding
Tags
mcpai-memorylocal-firstcoding-agentsopen-source
ai-coding-agentopen-sourcemcpclilocal-first
Best for
  • Privacy-conscious developers
  • MCP / Claude Code / Codex users
  • Self-hosting enthusiasts
  • Developers
  • Open-source advocates
  • Privacy-conscious teams
Pros
  • 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
  • Completely free and open source under Apache 2.0
  • Model-agnostic with no vendor lock-in
  • Runs locally for privacy and control
  • First-class MCP support both ways
  • Backed by Block and the Linux Foundation
Cons
  • 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
  • You still pay for the underlying LLM API
  • Setup is more hands-on than commercial IDEs
  • No built-in team collaboration features
  • Autonomous execution needs careful supervision
  • Less polished UX than paid competitors

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