headroom
★ 77.5k
vs
memex-mvp
★ 13
headroom vs memex-mvp
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.; memex-mvp: memex-mvp is a local-first MCP server that indexes every conversation you have with AI tools like Claude Code, Cursor, and Telegram into a single searchable SQLite database. It provides MCP tools for search and retrieval, and runs completely offline with no cloud dependency.
01
TL;DR
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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.
memex-mvpMemory & Context · ★ 13
Search across all AI conversations from one place
02
Side-by-Side Comparison
Field
headroommemex-mvpCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 13
License
Apache-2.0
MIT
Install Command
pip install "headroom-ai[all]"
curl -fsSL https://memex.parallelclaw.ai/install.sh | bash
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
ai-agent, ai-memory, claude-code
03
Features
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
memex-mvp01Local-first, no cloud
02Indexes multiple AI chat sources (Claude Code, Cursor, etc.)
03Full-text search with BM25 and recency boost
04MCP tools for integration with any MCP client
05Auto-context injection for Claude Code
04
Use Cases
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.
memex-mvp↳Search across all AI conversations from one place
↳Retrieve context about past projects when starting new sessions
↳Save web pages and AI chat shares into a persistent memory
05
Best For
headroomMost PopularEssential
memex-mvp—
FAQ
FAQ
What is the difference between headroom and memex-mvp?
Both headroom and memex-mvp are in the Memory & Context category. headroom has 77.5k stars, while memex-mvp has 13 stars.
Which is better, headroom or memex-mvp?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and memex-mvp if Search across all AI conversations from one place.
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is memex-mvp free or open source?
Yes, memex-mvp is open source on GitHub (MIT).
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