shokunin
★ 112
vs
headroom
★ 77.5k
shokunin vs headroom
shokunin: Shokunin provides persistent AI memory for developers with 38 skills, multi-strategy recall (vector + BM25 + temporal), and ChromaDB memory. It is fully offline, zero server costs, and works on Windows and Linux. The system includes MCP servers, declarative self-updates, and a memory test suite.; 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
shokuninMemory & Context · ★ 112
Persistent coding context across multiple sessions
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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
shokuninheadroomCategory
Memory & Context
Memory & Context
Stars
★ 112
★ 77.5k
License
MIT
Apache-2.0
Install Command
irm https://raw.githubusercontent.com/EliasOulkadi/shokunin/master/install.ps1 | iex
pip install "headroom-ai[all]"
Updated
2w ago
1d ago
Open Source
Yes
Yes
Tags
ai-agent-skills, ai-engineering, chromadb
Context Compression, Token Optimization, AI Agents
03
Features
shokunin01Multi-strategy recall (vector, BM25, temporal)
02ChromaDB persistent memory across sessions
0338 domain-specific skills with procedural workflows
04MCP server support for filesystem, fetch, memory
05Fully offline, no API costs, no telemetry
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
shokunin↳Persistent coding context across multiple sessions
↳Resume and continue previous development work seamlessly
↳Local AI-assisted development without cloud dependencies
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
shokunin—
headroomMost PopularEssential
FAQ
FAQ
What is the difference between shokunin and headroom?
Both shokunin and headroom are in the Memory & Context category. shokunin has 112 stars, while headroom has 77.5k stars.
Which is better, shokunin or headroom?
The best choice depends on your use case. Choose shokunin if Persistent coding context across multiple sessions, and headroom if Reduce LLM token usage and API costs for AI agents..
Is shokunin free or open source?
Yes, shokunin 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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