headroom
★ 60.2k
vs
conduit
★ 94
headroom vs conduit
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.; conduit: Conduit acts as a local Model Context Protocol (MCP) gateway, designed to drastically reduce token overhead when AI agents utilize multiple tools by consolidating server tools into a few meta-tools. It simplifies the setup and authentication of various services, allowing them to be configured once and used across all connected AI clients.
01
TL;DR
Choose headroom if…Reduce LLM token usage and API costs for AI agents.
Choose conduit if…Reducing token costs and improving context window efficiency for AI agents using many tools.
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
conduit01~90% fewer tokens by using lazy-discovery mode for tools.
02Single setup and authentication for all AI clients.
03Per-agent scoping to control tool access for different clients.
04Built-in governance to toggle tools on/off and audit calls.
05A built-in playground to test tools before integration.
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.
conduit↳Reducing token costs and improving context window efficiency for AI agents using many tools.
↳Managing and authenticating multiple external services (e.g., Stripe, Supabase, GitHub) for various AI clients from a single gateway.
↳Providing granular control over which tools different AI clients or agents can access, enhancing security and compliance.
↳Testing and validating AI tools (e.g., from an MCP server) using a built-in playground before deploying them to agents.
05
Best For
headroomMost PopularEssential
conduit—
FAQ
FAQ
What is the difference between headroom and conduit?
Both headroom and conduit are in the Memory & Context category. headroom has 60.2k stars, while conduit has 94 stars.
Which is better, headroom or conduit?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
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