Alternatives
Products that do what GPS does
Memory layer for LLMs that stores repo rules + past lessons
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- 15AA
Hi HN. Live-Memory is an open-source Claude Code plugin / MCP server that serves as an always up-to-date memory of your codebase. It uses a separate, low-cost, large-context-window model to distill your repo's organization, conventions and general structure. It observes the primary agent's activity and builds an understanding of your repo passively over time. This way, when you start a new Claude Code session, your primary agent queries Live-Memory via one read-only ask_live_memory tool and bootstraps its understanding of the codebase for the particular task at hand, instead of…
Jul 2026 · github.com
- 16PC
Hi HN, I'm Rob. Contextify indexes every Claude Code and Codex session on your machine into one local, searchable database. The current session, in either tool, can search all of it: /total-recall in Claude Code, $total-recall in Codex. Demo: https://www.youtube.com/watch?v=FvrvRGp4C9M | Mac app: https://contextify.sh (App Store or DMG) | Linux: CLI with a one-line installer, same search. No signup. I split my work between Claude Code and Codex. When I burn through rate limits on one, I switch to the other, and new models keep leapfrogging each other, so the…
Jul 2026 · contextify.sh
- 17YP
It's an biological inspired decay system for our memories with extended support of temporal reasoning. Created a CLI command to infer knowledge from the context stored in memory system without any token utilization or llm call. It comes with a memory dashboard to monitor and manage your memories it can be extended as audit trail for agents as well !
May 2026
- 18MA
Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…
Jun 2026 · metabrain.eu
- 19MC
Hi HN, I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly. Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why. I built Memograph CLI as a debugging tool to analyze conversation transcripts and show: - what the agent forgot - where continuity broke - contradictions and repeated context - estimated token waste due to re-prompting It works locally and supports plain text or JSON transcripts. Example: $ memograph Output: Cognitive Drift…
Feb 2026
- 20TA
Hey HN, I think session transcripts written by coding agents like Claude Code and Codex are very interesting because they offer a detailed window into how work gets shipped. You can see the sequence of decisions that resulted in the final PR, what the agent got wrong, tools used etc. So I built a cli that analyzes these sessions and provides a local dashboard that shows what each session shipped (PRs, features), how much each PR cost, and recommendations for more effective usage. Concretely, it enriches each session with: - Outcome links: merged PRs, features shipped, files changed -…
Jul 2026 · github.com
- 21SR
Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…
Jul 2026 · shikigami.dev
- 22PT
I vibe-coded a terminal tool called Pluqqy (I had a dormant domain on hand) to help me keep LLM context organized while coding with AI. It’s my first time writing Go and my first terminal app, built almost entirely with Claude Code. • What it does: Pluqqy lets you manage prompts, rules, and context as small building blocks, then stitch them together into a single file (like AGENT.md or CLAUDE.md) that your coding agent can consume. It’s meant to reduce context drift and make iteration easier. • Why I built it: I was losing track of my agent context between sessions and wanted something…
Oct 2025 · github.com
- 23OA
I spend a lot of time in Claude Code and Codex with my friend. We kept losing the context behind changes because every agent session lived on one person's laptop, and by the time code made it into a PR, all the reasoning was gone. We tried commits, PRs, and docs, but they only really capture the end result, so we built a tool to keep all of our agent sessions in one searchable place. Now we (and our agents) can check out anyone's session and ask things like "what was Alex working on yesterday?" It's also quite helpful in recovering the context behind a change days or weeks later. Ocean works…
Aug 2026 · ocean.mosaic.inc
- 24OS
We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool…
Mar 2026 · github.com
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