Provena Agent Memory

Name: Provena Agent Memory
Author: admiralpunk

by admiralpunkversion 0.1.15i★ –iRuns on your computer

Registry nameio.github.admiralpunk/provena-memory

Install

Overview

Description from the maker (original English)

Self-hosted MCP memory for AI agents: persistent context with evidence-backed claims.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: PROVENA_API_KEY, PROVENA_SCOPE_ID

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: PROVENA_API_URL, PROVENA_API_KEY, PROVENA_SCOPE_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "provena-memory": {
      "command": "uvx",
      "args": [
        "provena-agent-memory"
      ],
      "env": {
        "PROVENA_API_URL": "your-value",
        "PROVENA_API_KEY": "your-value",
        "PROVENA_SCOPE_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add provena-memory --env PROVENA_API_URL=your-value --env PROVENA_API_KEY=your-value --env PROVENA_SCOPE_ID=your-value -- uvx provena-agent-memory

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "provena-memory": {
      "command": "uvx",
      "args": [
        "provena-agent-memory"
      ],
      "env": {
        "PROVENA_API_URL": "your-value",
        "PROVENA_API_KEY": "your-value",
        "PROVENA_SCOPE_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "provena-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "provena-agent-memory"
      ],
      "env": {
        "PROVENA_API_URL": "your-value",
        "PROVENA_API_KEY": "your-value",
        "PROVENA_SCOPE_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

PROVENA_API_URL env
Base URL of the Provena REST API
PROVENA_API_KEY secret required env
Agent credential issued by the Provena service
PROVENA_SCOPE_ID required env
Exact project or branch scope used for memory

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account admiralpunk, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5653 servers in this category
Published to the registry more recently than 51% of the other 5653 servers in this category
Basic checks equal to or better than 100% of the other 5653 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Provena Agent Memory safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: PROVENA_API_KEY, PROVENA_SCOPE_ID

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.15) reached the registry 39 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Provena

Evidence-backed memory for AI agents. Know what an agent remembers—and why.

Provena is an open-source, self-hosted memory service for AI agents. Its MCP connector gives Codex, Claude Code, Gemini CLI, and other clients context across sessions. Each claim stays linked to its source event, review status, and scope, so you can inspect what an agent remembers and why.

Product demo

Watch a walkthrough of setup, cross-session recall, and the operator console:

https://github.com/user-attachments/assets/37fe219c-b678-4c6d-811d-bfdd37552628

Why provenance matters

An agent can retrieve a relevant fact that is wrong, stale, or taken from an untrusted source. Provena keeps the original evidence and the derived memory separate:

Event:         Alex says, "Pineapple on pizza is a crime."

Claim: Alex dislikes pineapple on pizza. Evidence: The claim links to Alex's original words.

Later event: Alex says, "I tried it. I owe pineapple an apology." Updated claim: Alex likes pineapple on pizza.

Provena keeps both statements, so it can explain why Alex's preference changed. Events and evidence are append-only. Claims have review status, optional validity time, and exact tenant and project or branch scope. Model-extracted claims remain candidates; source authority is separate from search relevance and never grants permission to act. memory_explain traces a claim back to its source, review history, conflicts, and recorded retrievals.

Provena is one FastAPI service backed by PostgreSQL and pgvector. MCP and host hooks capture turns and retrieve attributed context; Ollama or an optional hosted model extracts candidate facts and embeddings. The Next.js console lets a human inspect and review them. Architecture details · Decisions

Get started

You need Python 3.11+, pipx, Docker Compose, and one supported agent host. Install the connector and choose your host:

pipx install provena-agent-memory

provena quickstart codex

Use provena quickstart claude or provena quickstart gemini for those hosts. Quickstart starts the local service, PostgreSQL, Ollama, and the console; creates agent and reviewer credentials; and installs MCP plus automatic capture and retrieval hooks. It prints the console URL. Restart your agent host and review Provena under /hooks and /mcp.

The first run downloads the default models (about 1.26 GB). The local Ollama image is a digest-pinned CPU build. Installing the package alone does not record conversations; running quickstart is the opt-in step.

To check that the API and database are running:

provena status

Connect to an existing service

Ask its operator for an API URL, agent API key, and project or branch scope ID. With the connector installed, run:

export PROVENA_API_URL=https://memory.example.com

export PROVENA_API_KEY=paste-agent-key export PROVENA_SCOPE_ID=paste-scope-id provena connect codex --install

Replace codex with claude or gemini as needed. For another MCP client, use provena connect generic to print its configuration. See the connector guide for manual MCP setup and console access.

Other setup paths

Manual self-hosting: download the v0.1.15 Compose file and follow the deployment guide for the remaining files, credentials, upgrades, and backups.
Develop from source: follow the local development guide for Python, Docker, the console, and tests.

Current limits

Retrieval uses an exact scope; branch inheritance is not implemented. Provena records which claims were delivered to an agent, but cannot prove that a later action was caused by them. More on current guarantees and limits.

Contributing

Start with a good first issue or read CONTRIBUTING.md. See SECURITY.md for private vulnerability reporting and CHANGELOG.md for release history.

Provena Agent Memory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Product demo

Why provenance matters

Get started

Connect to an existing service

Other setup paths

Current limits

Contributing