headroom
★ 77.5k
vs
memtrace-public
★ 504
headroom vs memtrace-public
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.; memtrace-public: Memtrace is a persistent memory layer for coding agents. It builds a bi-temporal, episodic, structural knowledge graph from your codebase's AST, enabling agents to remember and reason about code structure, evolution, and dependencies. It runs entirely locally, indexing code in seconds and providing sub-millisecond query latency.
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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.
memtrace-publicMemory & Context · ★ 504
Codebase exploration and understanding
02
Side-by-Side Comparison
Field
headroommemtrace-publicCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 504
License
Apache-2.0
NOASSERTION
Install Command
pip install "headroom-ai[all]"
npm install -g memtrace && memtrace start
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
ai-agents, code-intelligence, code-search
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
memtrace-public01AST-based structural knowledge graph
02Bi-temporal version history with 6 scoring modes
03Cross-service HTTP API topology
04Hybrid search (BM25 + vector embeddings + RRF)
0525+ MCP tools and 12 agent skills
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.
memtrace-public↳Codebase exploration and understanding
↳Change impact and refactoring analysis
↳Incident investigation and root cause analysis
05
Best For
headroomMost PopularEssential
memtrace-publicTrending
FAQ
FAQ
What is the difference between headroom and memtrace-public?
Both headroom and memtrace-public are in the Memory & Context category. headroom has 77.5k stars, while memtrace-public has 504 stars.
Which is better, headroom or memtrace-public?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and memtrace-public if Codebase exploration and understanding.
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is memtrace-public free or open source?
Yes, memtrace-public is open source on GitHub (NOASSERTION).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→