aoci-code logo
aoci-code
★ 1.7k
vs
GoodMemory logo
GoodMemory
★ 20

aoci-code vs GoodMemory

aoci-code: AOCI-CODE creates a persistent, Git-versioned map of your entire codebase, including database schemas, which coding agents can read to understand the system quickly and accurately. This infrastructure empowers AI agents to build and maintain large systems without repeatedly re-reading the repository, ensuring continuous understanding across tasks and sessions.; GoodMemory: GoodMemory provides a durable memory layer for AI products, chat apps, copilots, and coding agents, enabling a continuous user/project memory loop. It offers APIs to write, retrieve, inject, audit, and delete context, serving as the product memory layer between applications and model runtimes.

01

TL;DR

aoci-code logo
aoci-codeMemory & Context · ★ 1.7k
When to choose:
  • Your codebase or database schema is large and complex, causing coding agents to burn tokens and lose context across sessions.
  • You want a local-first, Go-based, Git-versioned architectural knowledge map that coding agents read before touching any files.
When to skip:
  • Your project is a simple small repo or script where agents can easily fit the whole tree in context without an index map.
  • You need general conversational memory for chat logs or personal tasks rather than software architecture topology (use Mem0 or mcp-memory-service).
GoodMemory logo
GoodMemoryMemory & Context · ★ 20

Integrate into an Agent, Chatbox, or Copilot: build memory functionality directly into your Node/Bun service for managing context in chat applications or copilots.

02

Side-by-Side Comparison

Field
aoci-code logoaoci-code
GoodMemory logoGoodMemory
Category
Memory & Context
Memory & Context
Stars
★ 1.7k
★ 20
License
NOASSERTION
MIT
Install Command
git clone https://github.com/aoci-spec/aoci-code.git && cd aoci-code && make build
npm install -g [email protected] && goodmemory setup
Updated
1w ago
3d ago
Open Source
Yes
Yes
Tags
Codebase Mapping, AI Agent Cognition, Git Versioning
AI Memory, Agent Tools, Context Management
03

Features

aoci-code logoaoci-code
01Provides a persistent, Git-versioned codebase map for AI agents.
02Enables rapid onboarding for agents to existing large codebases (up to 500k lines).
03Offers automatic, incremental index maintenance after the initial build.
04Integrates both code and database schema knowledge for comprehensive system understanding.
05Operates locally and securely, with no internet upload or stored credentials.
GoodMemory logoGoodMemory
01Durable memory API: provides functions like `remember`, `recall`, `buildContext`, `feedback`, `forget`, `exportMemory`, and `deleteAllMemory`.
02Installed agent memory: offers managed memory for Codex and Claude Code through `goodmemory setup`, including hooks, pre-actions, and opt-in writeback.
03Local-first storage: defaults to durable SQLite for Bun and supports adding PostgreSQL, custom adapters, and embedding providers as needed.
04Public write customization: allows personalized customization of memory writes through configurations like `GoodMemoryConfig.remember`, `RememberProfile`, and `rememberRules`.
05Multilingual support: includes built-in LanguagePacks for English, Simplified Chinese, Traditional Chinese, Japanese, Korean, French, and Spanish.
04

Use Cases

aoci-code logoaoci-code
↳Developing large software systems with AI agents, ensuring agents retain context and avoid re-learning on every task.
↳Onboarding new AI agents or developers to existing complex codebases quickly and efficiently.
↳Maintaining project continuity and shared understanding across different agents, conversations, or team changes.
↳Enhancing AI agent's ability to perform complex development tasks (frontend, backend, database, tests) with a full system overview.
GoodMemory logoGoodMemory
↳Integrate into an Agent, Chatbox, or Copilot: build memory functionality directly into your Node/Bun service for managing context in chat applications or copilots.
↳Add Memory to Codex or Claude Code: enhance installed coding agents with persistent project and user context without modifying the agents themselves.
↳Deploy as a Backend Memory-Layer Service: use as a standalone backend service, especially for Python/FastAPI backends, to centralize memory storage and management.
↳Autonomous Agent Memory: enable autonomous agents to manage their own durable, cross-session memory by integrating the GoodMemory CLI or API.
05

Best For

aoci-code logoaoci-code
Essential
GoodMemory logoGoodMemory
—
FAQ

FAQ

What is the difference between aoci-code and GoodMemory?
Both aoci-code and GoodMemory are in the Memory & Context category. aoci-code has 1.7k stars, while GoodMemory has 20 stars.
Which is better, aoci-code or GoodMemory?
The best choice depends on your use case. Choose aoci-code if Developing large software systems with AI agents, ensuring agents retain context and avoid re-learning on every task., and GoodMemory if Integrate into an Agent, Chatbox, or Copilot: build memory functionality directly into your Node/Bun service for managing context in chat applications or copilots..
Is aoci-code free or open source?
Yes, aoci-code is open source on GitHub (NOASSERTION).
Is GoodMemory free or open source?
Yes, GoodMemory is open source on GitHub (MIT).
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