AgentIndex icon
AgentIndex
magic-context logo
magic-context
★ 2.4k
vs
Acontext logo
Acontext
★ 3.7k

magic-context vs Acontext

magic-context: Magic Context is a context and memory plugin for coding agent harnesses (OpenCode, Pi and OMP) that compresses history in the background, lifts decisions and conventions into project memory and recalls them each turn. It replaces the host's built-in compaction so one session per project can run for weeks without pauses.; Acontext: Acontext is a Context Data Platform designed to help build scalable cloud-native AI agents by managing context storage, retrieval, and state. It solves common problems like inefficient LLM message storage, complex long-running agent management, and lack of agent observability and learning capabilities.

01

TL;DR

magic-context logo
magic-contextMemory & Context · ★ 2.4k

Keep one coding-agent session per project running for weeks

Read magic-context full review →
Acontext logo
AcontextMemory & Context · ★ 3.7k

Building scalable and robust cloud-native AI agents for large user bases.

Read Acontext full review →
02

Side-by-Side Comparison

Field
magic-context logomagic-context
Acontext logoAcontext
Category
Memory & Context
Memory & Context
Stars
★ 2.4k
★ 3.7k
License
MIT
Apache-2.0
Install Command
npx @cortexkit/magic-context@latest setup
pip install acontext
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-framework, agent-memory, ai
AI Agents, Context Management, Data Platform
03

Features

magic-context logomagic-context
01Background history compression that lifts durable knowledge into project memory
02Overnight dreamer agents verify, deduplicate and curate memories
03Automatic recall each turn plus search across memories, past conversations and git history
04Setup wizard that configures OpenCode, Pi or OMP and disables built-in compaction
Acontext logoAcontext
01Unified multi-modal message storage
02Artifact management with file paths
03Context window editing API
04Real-time agent task observation
05Agent self-learning for Standard Operating Procedures (SOPs)
04

Use Cases

magic-context logomagic-context
↳Keep one coding-agent session per project running for weeks
↳Avoid compaction pauses that drop context mid-task
↳Give an agent memory of past decisions and project conventions
Acontext logoAcontext
↳Building scalable and robust cloud-native AI agents for large user bases.
↳Managing and observing long-running, stateful AI agents with built-in context engineering.
↳Enabling AI agents to self-learn and adapt, improving consistency and success rates.
05

Best For

magic-context logomagic-context
EssentialTrending
Acontext logoAcontext
Essential
FAQ

FAQ

What is the difference between magic-context and Acontext?
Both magic-context and Acontext are in the Memory & Context category. magic-context has 2.4k stars, while Acontext has 3.7k stars.
Which is better, magic-context or Acontext?
The best choice depends on your use case. Choose magic-context if Keep one coding-agent session per project running for weeks, and Acontext if Building scalable and robust cloud-native AI agents for large user bases..
Is magic-context free or open source?
Yes, magic-context is open source on GitHub (MIT).
Is Acontext free or open source?
Yes, Acontext is open source on GitHub (Apache-2.0).
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Related

Alternatives to magic-context →Alternatives to Acontext →magic-context details →Acontext details →