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MCP & Tool Calling · Open-source AI Projects on GitHub

A fact-based index of LLM, agent, MCP, RAG and AI development projects, with license, setup, download, screenshots and related resources for each entry.

Popular tags Agent LLM RAG MCP Coding Inference Tool calling Embeddings Vector database Multimodal Fine-tuning Evaluation Open source Self-hosted Python TypeScript Rust Voice Vision Workflow

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2 projects
Screenshot of Headroom: Context Compression Layer for AI Agents
MCP & Tool Calling

Headroom: Context Compression Layer for AI Agents

headroomlabs-ai/headroom

Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.

★ 65K⑂ 4.9KPython
Apache-2.0Q98

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