AgentIndex icon
AgentIndex
cortex logo
cortex
★ 35
vs
sense logo
sense
★ 40

cortex vs sense

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.; sense: Sense is an MCP server designed to provide AI coding agents with a deep structural understanding of codebases. It indexes repositories locally, offering tools like symbol graph, semantic code search, and convention detection to enhance agent efficiency and accuracy.

01

TL;DR

cortex logo
cortexMemory & Context · ★ 35

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

Read cortex full review →
sense logo
senseMemory & Context · ★ 40

Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.

Read sense full review →
02

Side-by-Side Comparison

Field
cortex logocortex
sense logosense
Category
Memory & Context
Memory & Context
Stars
★ 35
★ 40
License
MIT
MIT
Install Command
brew tap gambletan/tap && brew install cortex-mcp-server
curl -fsSL https://luuuc.github.io/sense/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Local Storage, Privacy-Preserving AI
AI Coding Agents, Codebase Context, Symbol Graph
03

Features

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.
sense logosense
01Provides symbol relationships, callers, callees, inheritance, tests, and dead code detection via `sense_graph`.
02Offers hybrid semantic code search (`sense_search`) with bi-encoder, cross-encoder, keyword, and text fallback.
03Calculates blast radius, affected code, affected tests, and risk score using `sense_blast`.
04Detects project-specific coding conventions from source via `sense_conventions` for style adherence.
04

Use Cases

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.
sense logosense
↳Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs.
↳Reduce AI agent tool calls, token usage, and session time, leading to significant cost and time savings for code-related tasks.
↳Help AI agents write code that adheres to specific project conventions and styles, improving code quality and consistency.
↳Perform advanced code analysis such as identifying dead code or understanding the blast radius of changes.
FAQ

FAQ

What is the difference between cortex and sense?
Both cortex and sense are in the Memory & Context category. cortex has 35 stars, while sense has 40 stars.
Which is better, cortex or sense?
The best choice depends on your use case. Choose cortex if Providing persistent, private long-term memory for AI agents and LLMs across conversation sessions., and sense if Enable AI agents to efficiently answer structural code questions like 'who calls this function?' by using pre-computed graphs..
Is cortex free or open source?
Yes, cortex is open source on GitHub (MIT).
Is sense free or open source?
Yes, sense is open source on GitHub (MIT).
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