headroom
★ 71.3k
vs
Graft
★ 7.0k
headroom vs Graft
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.; Graft: Graft is an open-source context layer designed to accelerate and optimize coding agents like Claude Code, Cursor, and Gemini by providing deep contextual understanding of large codebases. It builds a human-readable code graph and linked markdown nodes, enabling agents to operate faster, cheaper, and with higher correctness by avoiding repeated code exploration.
01
TL;DR
Choose headroom if…Reduce LLM token usage and API costs for AI agents.
Choose Graft if…Accelerating coding agents for faster and cheaper code understanding and generation.
02
Side-by-Side Comparison
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
Graft01Generates a human-readable, linked markdown graph of the codebase for contextual understanding.
02Provides real explanations of system parts and their connections, bypassing redundant agent exploration.
03Automatically refreshes the code graph against the working tree for real-time accuracy, even with uncommitted edits.
04Supports multiple LLM providers for generating summaries, allowing users to use their preferred models and keys.
05Acts as a local, regenerable cache (`graft/` folder) that is not committed to version control.
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.
Graft↳Accelerating coding agents for faster and cheaper code understanding and generation.
↳Onboarding new developers or agents to complex codebases by providing pre-mapped context.
↳Identifying the blast radius of code changes to understand potential impacts.
↳Enhancing agent correctness in resolving real-world GitHub issues (SWE-bench verified).
↳Optimizing tool-call, token, and latency savings for LLM-powered coding workflows.
05
Best For
headroomMost PopularEssential
GraftTrendingEssential
FAQ
FAQ
What is the difference between headroom and Graft?
Both headroom and Graft are in the Memory & Context category. headroom has 71.3k stars, while Graft has 7.0k stars.
Which is better, headroom or Graft?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and Graft if Accelerating coding agents for faster and cheaper code understanding and generation..
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is Graft free or open source?
Yes, Graft is open source on GitHub (MIT).
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