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Agent Memory Provenance

Community
TheGoat395
agent-memory-provenance

Design memory provenance and tenant isolation.

Overview

PublisherTheGoat395
RepositoryCodex-Skills
Skill nameagent-memory-provenance
Stars
136
Forks
48
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TheGoat395 on GitHub. Read the source before you install it.

Installation

Install the Agent Memory Provenance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/TheGoat395/Codex-Skills/tree/main/skills/agent-memory-provenance
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git /tmp/Codex-Skills
mkdir -p .claude/skills
cp -r /tmp/Codex-Skills/skills/agent-memory-provenance .claude/skills/agent-memory-provenance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Memory Provenance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Memory Provenance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Memory Provenance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agent Memory & Provenance

Separate memory types

Keep these distinct:

  • run state: transient tool and workflow state;
  • session history: bounded conversational continuity;
  • evidence store: source documents, extracts, timestamps, and access status;
  • decisions: approved choices, assumptions, owner, and reconsideration condition;
  • retrieval index: derived search aid, never the sole record of truth.

Do not treat an LLM summary as evidence or a vector result as permission to act.

Design the record

For each retained item, define tenant/owner, source URI or file, capture time, fact-versus-inference label, allowed readers, retention period, deletion path, and sensitivity. Preserve originals when possible; make derived summaries reversible by linking them to their source records.

Use append-only non-sensitive event references for auditability; sensitive payloads need their own authorized deletion and retention path. Existing authorization governs storage; a memory design task does not authorize adding personal durable memories. Compact only with an explicit summary of what was retained, omitted, and still retrievable. Never place passwords, tokens, private keys, cookies, recovery codes, or unrelated client data in agent memory.

Retrieval and isolation

  • Retrieve only records relevant to the active task and permitted tenant.
  • Filter by source authority, freshness, locale, and client before semantic similarity.
  • Treat stale or conflicting retrieval as a question to resolve, not silent context.
  • Keep client credentials, documents, logs, and decisions isolated by default.

Verify and deliver

Test the changed behavior and material failure boundaries, selecting from cross-session recall, source citation, conflicting sources, sensitive-record exclusion, retention and tenant isolation. Deliver the requested result; select a memory map, data dictionary, retention matrix or evidence receipt only when needed for that result. Use $agent-orchestration-architecture for runtime ownership and $research-provenance-archive for durable research capture.

Optional specialists

For durable research archives, research-provenance-archive is optional. Without it, preserve attributable source identifiers, capture dates, claim/evidence links, access boundaries and corrections in the existing project store.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Memory Provenance AI skill do?

Design memory provenance and tenant isolation.

Why use Agent Memory Provenance on TypingMind?

Because you install it once and use it with any model. Agent Memory Provenance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Memory Provenance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheGoat395/Codex-Skills/tree/main/skills/agent-memory-provenance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Memory Provenance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Memory Provenance?

As many as you like. As long as a model supports skills, you can use Agent Memory Provenance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Memory Provenance AI skill free?

Yes. It is published on GitHub by TheGoat395 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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