Releases·Tool Release
OpenLTM — local SQLite long-term memory for coding agents (MIT)
A developer released OpenLTM, an MIT-licensed long-term memory system for coding agents that stores project memory in a single local SQLite file, letting memory survive session resets without a separate service. It recalls via FTS5 full-text search followed by vector search, applies decay so low-importance entries fade, and hosts as plugins for several coding agents.
7 engagement2 sourcesMon, Sep 28, 2026, 01:19 PM
AI Overview
- Developer releases OpenLTM (MIT), a single-file SQLite store combining FTS5 search with vector recall for agent project memory.
- Memory persists across session resets; importance-5 entries stay permanent while a decay model fades old noise.
- OpenLTM hosts as a Claude Code marketplace plugin plus adapters for OpenCode, Pi, OpenClaw, and Hermes (v2.15.1).
- Default embeddings use Gemini unless LTM_EMBED_PROVIDER=ollama is set; the local DB alone does not make it fully offline.
Related
Products·building
OpenLTM — local long-term memory for coding agents
OpenLTM gives coding agents persistent long-term memory stored locally in a single SQLite file. It uses semantic search to retrieve relevant memories and autonomous decay to fade unimportant ones, so useful context isn't lost once it leaves the context window. Built for developers using coding agents who want fully local storage without external databases or hosted services.
OpenLTM gives coding agents persistent long-term memory stored locally in a single SQLite file. It uses semantic search to retrieve relevant memories and autonomous decay to fade unimportant ones, so useful context isn't lost once it leaves the context window. Built for developers using coding agents who want fully local storage without external databases or hosted services.
8 engagement1 sourceredditMon, Oct 5, 2026, 05:49 AM
Products·launched
Llmem: Local persistent memory for AI coding tools via MCP/REST
Llmem is a lightweight, local persistent memory system for AI coding assistants. It stores project learnings and preferences in a SQLite file, exposed via MCP and REST APIs, so AI tools can remember past mistakes and patterns without embeddings or markdown files.
Llmem is a lightweight, local persistent memory system for AI coding assistants. It stores project learnings and preferences in a SQLite file, exposed via MCP and REST APIs, so AI tools can remember past mistakes and patterns without embeddings or markdown files.
1 engagement1 sourcehackernewsFri, Aug 7, 2026, 08:40 AM
Products·launched
Remembrane: agent memory in one SQLite file, zero dependencies
Remembrane is a small library that gives LLM agents persistent memory using a single SQLite file with no dependencies. It solves the problem of storing a few thousand short strings across sessions without needing hosted APIs, vector databases, or frameworks. Its deterministic recall enables unit testing in CI.
Remembrane is a small library that gives LLM agents persistent memory using a single SQLite file with no dependencies. It solves the problem of storing a few thousand short strings across sessions without needing hosted APIs, vector databases, or frameworks. Its deterministic recall enables unit testing in CI.
3 engagement1 sourcehackernewsFri, Aug 7, 2026, 07:51 AM
Products·launched
memnest: local-first memory service for coding agents
memnest is a small Rust service running on localhost that stores persistent memory for coding agents, so context like ports, library decisions, and past bug fixes carries across sessions. Agents access it via MCP or an extension, giving every client the same store and tool contract. It solves the problem of re-explaining project context to coding agents at the start of each session.
memnest is a small Rust service running on localhost that stores persistent memory for coding agents, so context like ports, library decisions, and past bug fixes carries across sessions. Agents access it via MCP or an extension, giving every client the same store and tool contract. It solves the problem of re-explaining project context to coding agents at the start of each session.
7 engagement1 sourceredditSun, Aug 30, 2026, 03:07 AM
Products·launched
Local-first, git-backed memory for Claude Code
An open-source tool that gives Claude Code persistent memory using local markdown files versioned with git. It auto-injects relevant context at the start of each session via hooks, eliminating the need to re-explain project details. Works with any MCP agent, no cloud or API keys required.
An open-source tool that gives Claude Code persistent memory using local markdown files versioned with git. It auto-injects relevant context at the start of each session via hooks, eliminating the need to re-explain project details. Works with any MCP agent, no cloud or API keys required.
8 engagement1 sourceredditFri, Jul 24, 2026, 08:21 AM