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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Recall Trail

by fantasyceversion 0.3.7i★ –iRuns on your computer
Registry nameio.github.fantasyce/agent-recall-trail

Install

Overview

Description from the maker (original English)

Private Agent memory and governed shared knowledge.

PopNx MCP’s three pillars

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

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

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).
  • The registry lists no key to fill in.

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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.

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 fantasyce, 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 7271 servers in this category
  • Published to the registry more recently than 52% of the other 7271 servers in this category
  • Basic checks equal to or better than 100% of the other 7271 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 Agent Recall Trail 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.3.7) reached the registry 36 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB 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 last month
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.

ART — Agent Recall Trail

ART is a local-first memory and governed-knowledge product for coding agents. Every Agent gets a physically separate private Recall Trail. Stable conclusions become immutable Knowledge Editions that other Agents can retrieve without seeing private source identities or source bodies.

ART 0.3.7 supports Codex and DeepSeek Harness (DSH) over stdio MCP. It is standalone: no AAA adapter, cloud sync, bundled model, or autonomous publication is required.

Product boundary

  • Private memory belongs to one process-bound Agent identity.
  • Shared knowledge contains only committed, reviewed Editions.
  • Agents may capture, recall, read, provide feedback, create proposals, and request governance.
  • Human governance runs in ART's local page. An explicitly enabled, default-off local delegation policy also permits one unambiguous instruction to approve and publish atomically; these actions are labeled AgentDelegated, never Human.
  • Selective Codex automatic memory is controlled by a separate machine-wide, default-off switch in that page. It creates at most one bounded private Candidate for an admitted turn; it never publishes shared knowledge.
  • Revocation, supersession, archival, and assurance remain human operations.
  • Stored content is evidence, never executable instruction or authorization.

Progressive recall

ART exposes one recall API with four explicit retrieval modes: lexical, full_scan, semantic, and hybrid. The default is always lexical. A compact route request can identify relevant private and shared topics before a bounded recall; exact bodies are returned only by read.

  • lexical uses local BM25 plus exact, token, Jieba, and CJK-bigram signals.
  • full_scan ranks every governance-eligible canonical record. It needs no embedding service and is intended for completeness-sensitive, smaller stores.
  • semantic uses only an explicitly configured embedding endpoint and disposable local vector projections.
  • hybrid combines lexical and semantic ranks through an owner-configurable, versioned fusion policy. If the optional provider or projection is unavailable, ART returns the unchanged lexical result and reports the fallback.

ART's optional embedding adapter is supplied and operated by the user. ART does not bundle, download, train, select, or make quality claims for a model merely because its endpoint is compatible.

Quick start

cargo build --release --locked

./target/release/art --home /an/explicit/art-home init --confirm ./target/release/art --home /an/explicit/art-home agent create --id codex-primary --host codex ./target/release/art --home /an/explicit/art-home doctor --agent codex-primary --json

Use Codex integration or DSH desktop/CLI integration to start one bound stdio child. Desktop exports include the MCP patch and a self-contained skill: art integration dsh --desktop --agent --apply --output . Run art --help for the operator CLI.

Install

Download the native archive and SHA256SUMS from the latest release, verify the archive, then run the included installer with the extracted binary:

bash scripts/install.sh --binary /absolute/path/to/art --confirm

art --version art doctor --agent codex-primary --json

The installer keeps executable bytes under ~/.across/bin/art, creates a discovery link at ~/.local/bin/art, and initializes owner-only ART data. It does not edit Codex or DSH configuration. The thin Codex plugin lives under plugin/agent-recall-trail; its MCP child is permanently bound to codex-primary. See operations before migrating or publishing knowledge.

ART 0.3.7 adds opt-in selective automatic memory with a neutral Hook prompt, shared Agent/Hook value guidance, bounded budgets, independently verified evidence, semantic-similarity review routing, and visible diagnostics. It retains the exact accessible proposal-review workspace, eight canonical source-anchor kinds, persistent delegated governance, separate Elicitations for compatible clients, restricted-host plugin discovery, progressive routing, governed full scan, optional semantic and hybrid adapters, deterministic Knowledge Vault backup, encrypted recovery of local review authority, verified empty-home restoration, and reproducible lexical BEIR gates. See operations before creating the dedicated private Git repository.

Configuration precedence is --home, then --config , then the owner-only user config at ~/.across/config/art/config.json, then the built-in ~/.across root. The root config accepts only schema and home. Optional embedding configuration is isolated at /config/art/embedding/default.json; optional rank fusion policy lives at /config/art/retrieval/fusion.json; tokens, when needed, live in a separate owner-only file.

The automatic-memory setting is stored separately at /config/art/auto-memory.json. Missing or unreadable configuration means disabled. Only a user operating the authenticated governance page can change it; MCP tools can read the status but cannot enable it. The switch is independent of shared-knowledge delegation and does not affect recall or an explicit art_memory_capture request.

Agent Reliability Toolkit

ART is one independent part of a small, local-first reliability toolkit:

Each project remains separately installable and keeps its own trust boundary.

Community feedback

Real Codex and DSH evaluations are especially useful. A completed installation can be recorded with the short verified install report. For a deeper evaluation, share a synthetic or redacted workflow in the design-partner issue, including the host and ART version, the operation attempted, and the observed result. DSH users can also join the official community discussion. Do not post credentials, private knowledge, or full transcripts.

Documentation

  • Architecture
  • Memory and knowledge model
  • Operations
  • Security model
  • Testing and acceptance
  • Architecture decisions
  • Independent design review

All automated or manual tests must use an explicit task-owned ART home. ART never modifies Codex or DSH configuration automatically.

Apache-2.0 licensed. See Security, Contributing, and Support.

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