What is kalera-munin?

A long-term memory add-on for Gemini CLI that stores context in connected knowledge structures. GraphRAG combines a graph of related information with retrieval to provide relevant background later.

Use it when a coding assistant needs to recall related project or conversation information over time.

It helps retain useful context across sessions instead of requiring the same information to be supplied repeatedly.

kalera-munin — Plugin for Gemini CLI by 3d-era

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/3d-era/munin-for-agents

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/3d-era/munin-for-agents/gemini/github.svg)](https://agentmods.dev/plugins/3d-era/munin-for-agents/gemini)

Your own site

<a href="https://agentmods.dev/plugins/3d-era/munin-for-agents/gemini"><img src="https://agentmods.dev/badge/plugins/3d-era/munin-for-agents/gemini/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/3d-era/munin-for-agents/gemini"><img src="https://agentmods.dev/badge/plugins/3d-era/munin-for-agents/gemini.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Security

Grade A, and why

kalera-munin scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads gemini-extension.json. This mod also ships 2 executable files (src/cli.ts, src/index.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

adapters/gemini/gemini-extension.json · 30 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

5 files beside gemini-extension.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 30 lines scan A f1a1131a1c58

Subscribe to this mod's changes

kalera-munin is a plugin published in the GitHub repository 3d-era/munin-for-agents (3 stars, last pushed 2d ago), with no licence file. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.

Data and AI Memory and context RAG and vectors

basemind

Full AI context layer over MCP — tree-sitter code-map, document RAG (PDF/Office/HTML/email + OCR + reranker), shared agent memory, on-demand web crawl, git history + blame + per-symbol diff. 300+ languages, 10+ coding-agent harnesses, content-addressed Fjall + LanceDB.

Goldziher/basemind · not measured

kalera-munin

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

The source is not reproduced here

No licence file

What ships with it

What this file has done since we first saw it

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