headroom
★ 77.5k
vs
Ombre-Brain
★ 156
headroom vs Ombre-Brain
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.; Ombre-Brain: Ombre Brain is a long-term emotional memory system for Claude. It tags memories using Russell's valence/arousal coordinates, stores them as Obsidian-compatible Markdown, connects via MCP, and implements a forgetting curve. It features natural decay and active surfacing of unresolved memories.
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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.
Ombre-BrainMemory & Context · ★ 156
Persistent cross-conversation memory for Claude
02
Side-by-Side Comparison
Field
headroomOmbre-BrainCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 156
License
Apache-2.0
MIT
Install Command
pip install "headroom-ai[all]"
git clone https://github.com/P0lar1zzZ/Ombre-Brain.git && cd Ombre-Brain && python -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
Updated
1d ago
6mo ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
ai-agent, chatgpt, claude
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
Ombre-Brain01Emotional tagging using valence and arousal dimensions
02Natural forgetting with modified Ebbinghaus curve
03Weight pool surfacing of unresolved memories
04Obsidian-native Markdown storage with YAML frontmatter
05API degradation to local keyword analysis when unavailable
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.
Ombre-Brain↳Persistent cross-conversation memory for Claude
↳Tracking emotional patterns and unresolved topics over time
↳Diary-style archival of daily conversations
05
Best For
headroomMost PopularEssential
Ombre-Brain—
FAQ
FAQ
What is the difference between headroom and Ombre-Brain?
Both headroom and Ombre-Brain are in the Memory & Context category. headroom has 77.5k stars, while Ombre-Brain has 156 stars.
Which is better, headroom or Ombre-Brain?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and Ombre-Brain if Persistent cross-conversation memory for Claude.
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is Ombre-Brain free or open source?
Yes, Ombre-Brain is open source on GitHub (MIT).
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