AgentIndex icon
AgentIndex
Waggle-mcp logo
Waggle-mcp
★ 44
vs
cortex logo
cortex
★ 35

Waggle-mcp vs cortex

Waggle-mcp: Waggle-mcp provides AI agents with a persistent, graph-backed memory that remembers decisions, reasons, and contradictions across sessions, overcoming the limitations of short context windows. It acts as a local-first memory layer for MCP-compatible AI clients, allowing for rich, structured context retrieval instead of simple text snippets.; cortex: Cortex is a private, free, and local memory engine for personal AI agents, built with Rust. It provides multi-tier, self-evolving long-term memory that persists across sessions and devices, offering sub-millisecond performance and end-to-end encrypted cloud synchronization.

01

TL;DR

Waggle-mcp logo
Waggle-mcpMemory & Context · ★ 44

Maintaining long-term conversational memory for AI coding assistants across development sessions.

Read Waggle-mcp full review →
cortex logo
cortexMemory & Context · ★ 35

Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions.

Read cortex full review →
02

Side-by-Side Comparison

Field
Waggle-mcp logoWaggle-mcp
cortex logocortex
Category
Memory & Context
Memory & Context
Stars
★ 44
★ 35
License
Apache-2.0
MIT
Install Command
pipx install waggle-mcp && waggle-mcp setup --yes
brew tap gambletan/tap && brew install cortex-mcp-server
Updated
1w ago
6d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Persistent Memory, Knowledge Graph, AI Agent Memory
AI Agent Memory, Local Storage, Privacy-Preserving AI
03

Features

Waggle-mcp logoWaggle-mcp
01Persistent graph memory with SQLite backend by default, with optional Neo4j support.
02Integrates as an MCP server with automatic memory hooks for various AI clients like Claude, Cursor, and Gemini CLI.
03Recursive context assembly to provide compact, high-signal context packs, optimizing token usage.
04Stores relationships between facts, decisions, and contradictions, enabling temporal queries, diffs, and conflict resolution.
05Local embeddings with a deterministic offline fallback, ensuring privacy and local operation.
cortex logocortex
01Private by Default: Memories reside in a local SQLite file, ensuring zero telemetry and data privacy.
02Real, Multi-Tier Memory: Features 4 memory tiers (Working, Episodic, Semantic, Procedural), multi-signal retrieval, Bayesian beliefs, and a cross-channel people graph.
03Sub-millisecond Performance: Achieves 156µs ingest and 568µs search speeds, significantly faster than cloud memory APIs.
04Cross-Device End-to-End Encrypted Sync: Optionally syncs memories across devices through your own cloud storage (iCloud, Google Drive, etc.) with AES-256-GCM encryption.
05Drop-in Integration: Serves as an MCP server for Claude, offers Python bindings, and integrates with frameworks like LangGraph, DeerFlow, and OpenClaw.
04

Use Cases

Waggle-mcp logoWaggle-mcp
↳Maintaining long-term conversational memory for AI coding assistants across development sessions.
↳Retrieving past decisions, constraints, and preferences to inform current AI agent actions.
↳Tracking changes and resolving contradictions in evolving project requirements or design choices.
↳Exporting and sharing AI agent memory snapshots for collaboration or migration between machines/sessions.
↳Debugging AI agent reasoning and understanding context by inspecting the underlying knowledge graph via Graph Studio.
cortex logocortex
↳Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions.
↳Enabling AI assistants to remember user preferences, facts, and past interactions without sending data to external servers.
↳Building personal AI systems where user data stays entirely on-device or synced via user's own encrypted cloud storage.
↳Integrating advanced memory capabilities (e.g., people graph, Bayesian beliefs, contradiction detection) into agent orchestration platforms like LangGraph or DeerFlow.
↳Developing AI applications that require low-latency, real-time memory access and context generation for prompt injection.
FAQ

FAQ

What is the difference between Waggle-mcp and cortex?
Both Waggle-mcp and cortex are in the Memory & Context category. Waggle-mcp has 44 stars, while cortex has 35 stars.
Which is better, Waggle-mcp or cortex?
The best choice depends on your use case. Choose Waggle-mcp if Maintaining long-term conversational memory for AI coding assistants across development sessions., and cortex if Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions..
Is Waggle-mcp free or open source?
Yes, Waggle-mcp is open source on GitHub (Apache-2.0).
Is cortex free or open source?
Yes, cortex is open source on GitHub (MIT).
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