dory
★ 13
vs
headroom
★ 77.5k
dory vs headroom
dory: Dory is a local-first memory daemon that gives every AI agent the same brain. It uses Markdown as source of truth and SQLite as a disposable sidecar, providing a narrow API for agents to read and write shared memory. This eliminates the need to re-explain context across different tools like Claude, Codex, opencode, etc.; 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
doryMemory & Context · ★ 13
Persistent memory across different coding agents (Claude, Codex, etc.)
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- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.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
doryheadroomCategory
Memory & Context
Memory & Context
Stars
★ 13
★ 77.5k
License
MIT
Apache-2.0
Install Command
git clone <dory-repo-url> && cd dory && uv sync --frozen && mkdir -p data/corpus && export DORY_CORPUS_ROOT="$PWD/data/corpus" && export DORY_INDEX_ROOT="$PWD/.dory/index" && export DORY_AUTH_TOKENS_PATH="$PWD/.dory/auth-tokens.json" && uv run dory init
pip install "headroom-ai[all]"
Updated
4mo ago
1d ago
Open Source
Yes
Yes
Tags
agents, ai-agents, claude-code
Context Compression, Token Optimization, AI Agents
03
Features
dory01Local-first memory daemon with Markdown as source of truth
02Narrow API: wake, search, get, memory-write, link
03Native MCP support and HTTP daemon
04Supports multiple AI agents (Claude, Codex, opencode, etc.)
05Deployable via Docker, CLI, or as a durable service
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
dory↳Persistent memory across different coding agents (Claude, Codex, etc.)
↳Session context recovery and cross-tool state management
↳Human-readable audit trail via Markdown and git
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
dory—
headroomMost PopularEssential
FAQ
FAQ
What is the difference between dory and headroom?
Both dory and headroom are in the Memory & Context category. dory has 13 stars, while headroom has 77.5k stars.
Which is better, dory or headroom?
The best choice depends on your use case. Choose dory if Persistent memory across different coding agents (Claude, Codex, etc.), and headroom if Reduce LLM token usage and API costs for AI agents..
Is dory free or open source?
Yes, dory 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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