headroom
★ 77.5k
vs
agent-memory
★ 15
headroom vs agent-memory
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.; agent-memory: Agent-memory offers local, Git-native project memory for AI coding agents, leveraging Markdown as the single source of truth for durable, human-reviewable, and secret-safe knowledge. It facilitates structured memory updates and seamless integration with various agent runtimes, operating entirely locally without external cloud or vector database dependencies.
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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.
agent-memoryMemory & Context · ★ 15
Bootstrapping an AI agent's project memory from an existing codebase.
02
Side-by-Side Comparison
Field
headroomagent-memoryCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 15
License
Apache-2.0
Apache-2.0
Install Command
pip install "headroom-ai[all]"
npx -y @xchucx/agent-memory --help
Updated
1d ago
3w ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
AI Agent Memory, Git Versioning, Markdown Knowledge Base
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
agent-memory01Git-native, Markdown-based memory with version control.
02Human review gate for durable changes via diffs.
03Automated scanning and rejection of secrets/PII on write.
04Fully local operation without cloud or vector database dependencies.
05Verifiable Task Protocol (VTP-1) for cryptographic task lifecycle.
06Federated memory for referencing shared, read-only 'landscape' stores.
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.
agent-memory↳Bootstrapping an AI agent's project memory from an existing codebase.
↳Recording and reviewing durable architectural decisions and conventions.
↳Discovering peer solutions and operational context via federated memory.
↳Ensuring safe, non-breaking cross-service contributions by agents.
↳Cryptographically verifying autonomous agent task execution and settlement.
05
Best For
headroomMost PopularEssential
agent-memory—
FAQ
FAQ
What is the difference between headroom and agent-memory?
Both headroom and agent-memory are in the Memory & Context category. headroom has 77.5k stars, while agent-memory has 15 stars.
Which is better, headroom or agent-memory?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and agent-memory if Bootstrapping an AI agent's project memory from an existing codebase..
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is agent-memory free or open source?
Yes, agent-memory is open source on GitHub (Apache-2.0).
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