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MeshCtx
AI with a brain that never forgets.
MeshCtx is an open-core, self-improving agent platform with 17 brain regions. Multi-agent orchestration, tool calling, and RAG.
Hey PH! 👋
I'm the solo developer behind MeshCtx — and honestly, launching here is both exciting and terrifying.
The backstory:
I got tired of AI agents that forget everything between sessions. Every conversation felt like starting from zero. So I started building — with a lot of help from AI agents along the way (we're talking tens of billions of tokens). 119,097 lines of Python later, here we are.
What MeshCtx actually is:
It's a self-improving AI agent platform built on a 17-brain-region emulated architecture. Not a thin LLM wrapper — a cognitive architecture where specialized brain regions work together like a real brain.
The core differentiators:
🧠 Hierarchical Memory (L0-L4) — Modeled after human cognition with the Ebbinghaus Forgetting Curve. Important info persists, trivia naturally decays.
🔄 Self-Improving Meta-Cognition — After every task: evaluate → extract patterns → update knowledge graph → adjust behavior.
🎯 Multi-Agent Orchestra — One intent, automatically decomposed into a task DAG, executed in parallel by specialized agents.
💻 Desktop Agent — Windows GUI automation via Win32 API + UIA. Click, type, screenshot through natural language.
⚡ Predictive Context — Learns your patterns, pre-loads memories before you ask. Context assembly <50ms.
🔌 Plugin Marketplace — MCP protocol native.
🔓 Open Core — AGPLv3 framework, free forever. Core brain algorithms source-available.
Platforms: Windows (NSIS installer + portable), macOS (DMG + Homebrew), Linux/WSL (curl install).
Languages: 10 languages supported — English, Chinese, Japanese, Korean, German, French, Spanish, Arabic, Italian, and more.
Who is this for?
Developers who want an AI agent that actually remembers. Early adopters who want to push the boundaries of what agents can do. Anyone tired of starting every AI conversation from scratch.
What's next?
This is v3.115.31 — 3,315 tests, 99.91% pass rate. But we're just getting started. I'd love your feedback, brutal honesty included.
Try it: meshctx.com
GitHub: github.com/LucyAndLuna2023/meshctx
Happy to answer any questions — drop them below and I'll reply ASAP. 🙏
About MeshCtx on Product Hunt
“AI with a brain that never forgets.”
MeshCtx was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #115 on the daily leaderboard. MeshCtx is an open-core, self-improving agent platform with 17 brain regions. Multi-agent orchestration, tool calling, and RAG.
On the analytics side, MeshCtx competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 585.6k followers on Product Hunt. The dashboard above tracks how MeshCtx performed against the three products that launched closest to it on the same day.
Who hunted MeshCtx ?
MeshCtx was hunted by zhengyu liu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MeshCtx including community comment highlights and product details, visit the product overview.
zhengyu liu