12 open-source projects share topics or a category with claude-context. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
you would rather work in Python than TypeScript
Apache License 2.0 suits your use better than MIT License
you want the more widely starred option (78.7k)
you want the more recently updated codebase
Shares agent, claude-code, cursor, mcp with claude-context.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Choose graphify if…
you would rather work in Python than TypeScript
Apache License 2.0 suits your use better than MIT License
you want the more widely starred option (141.6k)
you want the more recently updated codebase
Shares claude-code, code-search, cursor, mcp with claude-context.
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Choose OmniRoute if…
you want the more widely starred option (84.1k)
you want the more recently updated codebase
you specifically need a2a or ai-agents
Shares claude-code, cursor, mcp, openai with claude-context.
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Choose FastGPT if…
you want the more widely starred option (30.0k)
you want the more recently updated codebase
you specifically need claude or deepseek
Shares agent, mcp, openai, rag with claude-context.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Choose Memori if…
you would rather work in Python than TypeScript
you want the more recently updated codebase
you specifically need agent-memory or agenticai
Shares agent, claude-code, rag, typescript with claude-context.
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
Choose holaOS if…
you want the more recently updated codebase
you specifically need agent-harness or agent-os
Shares agent, claude-code, mcp, typescript with claude-context.
Gentle-AI configures the AI coding agents you already use: Claude Code, Cursor, OpenCode, Codex, Pi, and more. Choose persistent memory, Spec-Driven Development, curated skills, MCP servers, personas, and optional bounded review. Open source, no agent lock-in.
Choose gentle-ai if…
you would rather work in Go than TypeScript
you want the more recently updated codebase
you specifically need agent-skills or ai-agents
Shares ai-coding, claude-code, cursor, mcp with claude-context.