PCIRCLE OPEN SOURCE

Tools we built for our own work, released in the open

Building AI Native systems sometimes means writing the tool ourselves because nothing off the shelf did the job. These are not products we sell — they are free, the source is on GitHub, and anyone can use them.

PROJECTS

MeMesh

Memory your AI agent doesn't lose between sessions

Every new conversation with an AI coding agent starts from zero — the architecture decisions, the bugs already fixed, the constraints already learned, all re-explained from scratch. MeMesh is a memory layer that runs on your own machine: one SQLite file, no cloud, no API key required, that captures this automatically and surfaces what's relevant before the agent starts working.

WHO IT FITS
Developers using Claude Code or any MCP-compatible tool
INSTALL
npm install -g @pcircle/memesh
  • 95.60% R@5 on the public LongMemEval-S benchmark (reproducible)
  • Local-first: one SQLite file, no cloud, no API key by default
  • The same memory is shared across Claude Code, Codex CLI, and Gemini CLI
  • Native integration with Hermes Agent (NousResearch) and OpenClaw: each has a first-party memory plugin at the same tier as their own built-in backends
Full details →View source on GitHub

Toonify MCP

Trims large tool output before it fills up the conversation

Commands and file reads in Claude Code often return large, messy output — full API responses, long logs, stack traces. Toonify MCP compresses this automatically before it enters the context window, running in the background with no change to how you already work.

WHO IT FITS
Developers running Claude Code against large JSON, YAML, or test output
INSTALL
git clone https://github.com/PCIRCLE-AI/toonify-mcp.git
  • Automatically compresses large JSON, YAML, and API responses
  • Trims long test failures and stack traces
  • Runs in the background — no change to your existing workflow
Full details →View source on GitHub

WHY WE OPEN-SOURCE

Problems we solved for ourselves, shared so others skip the same detour

Each of these started as something we needed for our own work, not a planned open-source release. The code is public under MIT — use it directly, read it, or open an issue. This is not a paid service: no customization quotes, no support contracts. If you need us to build a system for you, see our services.

The source is on GitHub

Free to use, source fully public. If you want to talk about how we build AI Native systems, or about working together, reach out.

GitHub →About PCIRCLE