Lore – LLM proxy for coding agent context and memory management

What it does

Your AI never starts over. Lore keeps sessions coherent for days and millions of tokens — no lossy summary that wipes your file paths and decisions — and turns every session into compounding memory that lives on your machine, in plain Markdown and an open SQLite database. No context files sprawling around. No lock-in. No workflow changes. Building with a team? Folk Lore — shared team memory, coming soon → The AI tooling ecosystem is in a war for execution, and your harness is incentivized to lock you in. When closed platforms build "agent memory," they trap your team's architectural decisions inside proprietary vector databases. Switch IDEs or models and your team gets amnesia. Lore is…from withlore.ai

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  LoreMar 2026 · github.com · ▲130

  I built Lore because I kept losing knowledge — curl commands, quick notes from standups, and that one thing I told myself I'd remember. It lives in the system tray, a global shortcut pops it up, you type naturally, and it stores or retrieves automatically. Everything runs locally via Ollama + LanceDB — no cloud, no API keys. It classifies your input (thought, question, todo, instruction) and uses a RAG pipeline to answer recall queries from your own stored context. It's free and open source under MIT license, and even though its in very early version me and my friends have been using it for…

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  A Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260

  I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

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  Context GatewayMar 2026 · github.com · ▲220

  We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

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  A local-first memory store for LLM agents (SQLite)Dec 2025 · github.com · ▲48

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