magic-context
★ 2.4k
vs
headroom
★ 77.5k
magic-context vs headroom
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.; headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.
01
TL;DR
magic-contextMemory & Context · ★ 2.4k
Keep one coding-agent session per project running for weeks
headroomMemory & Context · ★ 77.5k
When to choose:
- Long tool output, logs, JSON responses or RAG chunks are driving up cost or hurting answers.
- You want compression without code changes: run it as a local proxy, an MCP server, or by wrapping Claude Code, Codex or Cursor.
- Compression must run locally, with originals cached so the model can retrieve the full text.
When to skip:
- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.
- You cannot add a component that must keep running and may add latency.
- Your tasks cannot tolerate lossy compression: verify answer quality on your own work first.
02
Side-by-Side Comparison
Field
magic-contextheadroomCategory
Memory & Context
Memory & Context
Stars
★ 2.4k
★ 77.5k
License
MIT
Apache-2.0
Install Command
npx @cortexkit/magic-context@latest setup
pip install "headroom-ai[all]"
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
agent-framework, agent-memory, ai
Context Compression, Token Optimization, AI Agents
03
Features
magic-context01Background 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
headroom01In-app library for compression (Python/TypeScript)
02Zero-code-change proxy mode
03One-command agent wrapping for various AI agents
04Cross-agent shared memory and auto-deduplication
05Reversible compression (CCR) with original content retrieval
04
Use Cases
magic-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
headroom↳Reduce LLM token usage and API costs for AI agents.
↳Enable shared context and memory across multiple AI agents.
↳Optimize coding agents by compressing tool outputs, logs, and RAG chunks.
↳Maintain full data fidelity with reversible context compression.
05
Best For
magic-contextEssentialTrending
headroomMost PopularEssential
FAQ
FAQ
What is the difference between magic-context and headroom?
Both magic-context and headroom are in the Memory & Context category. magic-context has 2.4k stars, while headroom has 77.5k stars.
Which is better, magic-context or headroom?
The best choice depends on your use case. Choose magic-context if Keep one coding-agent session per project running for weeks, and headroom if Reduce LLM token usage and API costs for AI agents..
Is magic-context free or open source?
Yes, magic-context is open source on GitHub (MIT).
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
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