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Provena Agent Memory MCP server

by admiralpunk·io.github.admiralpunk/provena-memory·v0.1.15·7 stars

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

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

7 stars89 downloads/wk

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Provena Agent Memory tools (7, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • memory_capture_turn

    Capture and extract facts from one host conversation turn; output remains low-authority candidate memory.

  • memory_context

    Get attributed, exact-scope memory context relevant to the current request, including candidate status and source authority.

  • memory_explain

    Show the claim, original evidence, authority, review actions, conflicts, and retrieval history.

  • memory_propose_claimwrite action

    Create a candidate claim backed by an event in the configured scope. Human review is required to activate it.

  • memory_record_event

    Preserve agent-supplied source text as a low-authority event; this does not create a durable active claim.

  • memory_remember

    Atomically save an agent-supplied event and candidate claim; return IDs, authority, and status.

  • memory_search

    Retrieve semantically relevant reviewed or provisional claims with status, IDs, and source authority.

Public scan report

scanner v0.1.10 · 2026-11-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan25 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 13 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Provena Agent Memory compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 68% of 4,460 AI and agents servers
Tools
7
the typical AI and agents server has 6
Tools that change things
14%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
7
more than 81% of 2,711 AI and agents servers
Downloads a week
89
more than 61% of 1,538 AI and agents servers with a package

What its tools let an agent do: 6 read · 1 change

Release history: 9 versions in the registry since 2026-09-21, latest 2026-09-29, typically one every 1 day.

Install Provena Agent Memory in Claude Code, Cursor or VS Code

claude mcp add provena-memory -- uvx provena-agent-memory
Add to Cursor

What the publisher says

From the Provena Agent Memory repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.admiralpunk/provena-memory -->

Provena

Evidence-backed persistent memory for AI agents. Know what an agent remembers, where it came from, and why it was retrieved.

Provena gives Codex, Claude Code, Gemini CLI, custom agents, and other MCP clients a shared long-term memory layer with explicit provenance. It stores source events separately from structured claims, links every claim to immutable evidence, records review and retrieval history, and keeps source authority separate from semantic relevance.

The result is agent context that can be inspected, challenged, scoped, and explained instead of an opaque collection of vector matches.

Product Demo

Loom walkthrough coming soon.

Replace this block with a linked Loom thumbnail or embedded preview. The surrounding section is intentionally ready for the final demo asset.

What is Provena?

Provena is a memory service and integration harness for AI-assisted development workflows. It sits between an agent host and durable storage through REST, MCP, or lifecycle hooks.

The harness is responsible for:

  • capturing selected user and assistant turns as immutable source events;
  • accepting explicit, structured memories from an agent or application;
  • extracting candidate facts with a configured local or hosted model;
  • retrieving relevant claims from one exact organization and scope;
  • returning source attribution, status, and authority with retrieved context; and
  • recording which claims were delivered during each retrieval.

Provena does not execute an agent's code or tasks. Its role in the execution context is to make memory capture and context assembly traceable. Retrieval records improve reproducibility by showing which stored claims were supplied to an agent, but Provena does not currently replay a model run or prove that a retrieved claim influenced a later action.

Core model

Claims can be candidates, active, verified, conflicted, superseded, quarantined, expired, ephemeral, or deleted. Changing state never erases the claim's source evidence.

Why Provenance Matters

Agent memory can be relevant and still be wrong, stale, speculative, or malicious. A vector result alone cannot answer who asserted a fact, what the original source said, whether a human reviewed it, or which execution context received it.

Provena preserves those distinctions:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Provena Agent Memory: common questions

Is Provena Agent Memory MCP server safe?
Mostly: it is graded B (83/100). Read the Provena Agent Memory safety report
How do I install Provena Agent Memory?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Provena Agent Memory need an API key?
Yes. The registry entry asks for PROVENA_API_KEY.
Is Provena Agent Memory maintained?
The last commit was 16 days ago (2026-10-19). The latest release is v0.1.15.
What can I use instead of Provena Agent Memory?
Servers from other publishers that do the same job: Memanto MCP server, Mnemoverse Memory MCP server and Total Agent Memory MCP server. Compare all Provena Agent Memory alternatives.
How does Provena Agent Memory compare with other AI and agents MCP servers?
safety score 83/100 (higher than 68% of 4,460 AI and agents servers); tools 7 (the typical AI and agents server has 6); tools that change things 14% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Provena Agent Memory

Same job from other publishers: the closest match first, then the best rated.

All Provena Agent Memory alternatives →
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  • Basic Memory
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  • HOL Guard
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