{"repo":"JubaKitiashvili/context-mem","free":true,"listed":false,"github":"https://github.com/JubaKitiashvili/context-mem","clone":"git clone https://github.com/JubaKitiashvili/context-mem.git","description":"Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.","language":"TypeScript","stars":17,"topics":["ai-coding","claude-code","context-optimization","mcp","sqlite","summarization","ai-agents","ai-memory","bm25","cursor"],"license":"MIT","category":"ai-agents","readme_excerpt":"Context Mem Memory + context infrastructure for AI agents. Remembers everything. Compresses everything. Fully local. -gold) --- The Problem Two problems with today's AI tooling that no one has solved together in a single package. Your AI forgets. Every new session starts from zero. The architecture decisions you settled on last Thursday, the bug you spent four hours tracing to a misconfigured environment variable, the preferences you stated three times — none of it carries forward. You spend the first ten minutes of every session re-explaining context that already existed. Multiply this by every developer on your team, every project, every day. Your context explodes. Long coding sessions blow past the context window. A typical session with 50 tool outputs accumulates 365 KB of raw text — stack traces, test output, file reads, shell commands. Every token costs money or slows the model. Naive truncation drops the exact evidence the model needs. Keeping everything makes responses slower and inference cost climb fast. These two problems compound each other. The solution to forgetting (keep everything) is the opposite of the solution to context explosion (discard everything). The result is a false tradeoff most tools force on you: either your AI forgets everything, or your costs balloon. context-mem solves both simultaneously by building an indexed, compressed, retrievable memory store rather than dumping raw history into the context window. --- The Solution — one tool, two pillar","default_branch":null,"files":null,"tree":[],"storefront":"/r/JubaKitiashvili","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/JubaKitiashvili/context-mem/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}