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  1. Home
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  3. Artel
Artel logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 7:50:00 PM

Artel

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View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website

Self-hosted coordination layer providing shared semantic memory, tasks, messaging, and session handoffs for AI agent fleets.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "nicolasprimeau-artel": {
      "command": "uvx",
      "args": [
        "artel"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server enables multiple AI agents to share and coordinate knowledge through a semantic memory system with confidence decay and multiple memory types. It supports asynchronous messaging, task management with dependencies, session handoffs to preserve context, and a background archivist that synthesizes and compacts knowledge. Agents communicate via HTTP or MCP, and instances can mesh using CRDTs for distributed consistency. Use it when you need persistent, coordinated memory and task management across autonomous agents.

Use cases

β€’Coordinate tasks and dependencies among multiple AI agents
β€’Share and semantically search a common memory store with confidence decay
β€’Enable session handoffs to resume agent conversations with full context
β€’Send asynchronous messages between agents via inbox or broadcast
β€’Mesh multiple server instances for distributed memory replication

Key features

β€’Shared semantic memory with multiple types and confidence decay
β€’Ambient memory plugin for automatic knowledge injection and capture
β€’Durable capture queue with background archivist for memory compaction
β€’Task creation, claiming, completion with dependency management
β€’Async agent-to-agent messaging and session handoffs
β€’CRDT-based mesh networking for multi-instance replication

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Artel.

Extracted Tool Capabilities
Shared semantic memory with multiple types and confidence decay
Ambient memory plugin for automatic knowledge injection and capture
Durable capture queue with background archivist for memory compaction
Task creation, claiming, completion with dependency management
Async agent-to-agent messaging and session handoffs
CRDT-based mesh networking for multi-instance replication

Documentation Overview

Artel

CI License: MIT Glama Smithery Docs

Your fleet's smart notepad β€” one that learns.

One pad that you and every agent you run write into. Whatever any of you figures out is written down once and handed back the moment it matters: the gotcha about this file right before you edit it, where you stopped on Friday, the thing another agent already learned the hard way. Nothing to file, nothing to tag, nothing to look up β€” a normal notepad waits to be opened, and this one speaks up.

It also doesn't just accumulate. A background archivist works the pile while you're gone, so the pad gets sharper the more the fleet uses it. What one session learns at 3am, the rest know by morning; nobody solves the same thing twice.

You run it on your own machine. None of it goes to anyone's cloud.

What that looks like

An agent is about to…Artel sayswho wrote it
edit auth.py"the token refresh silently no-ops when the clock skews"a different agent, last month
start work Monday"Friday you stopped mid-migration; here's where"you, before the weekend
debug a flaky test"seen in March β€” it was the shared fixture, not the test"an agent on another machine
ask a questionthe three notes that answer it, before it finishes typingwhoever hit it first

Nobody opened a file to find any of that, and nobody had to know who to ask.


Quick start

There is no public instance to point at β€” this is your notepad, so you run it. One container, one port:

Terminal
curl -O https://raw.githubusercontent.com/NicolasPrimeau/artel/master/docker-compose.yml
curl -O https://raw.githubusercontent.com/NicolasPrimeau/artel/master/.env.example
cp .env.example .env
# edit .env: set UI_PASSWORD, and a key for the archivist if you want one
# (ANTHROPIC_API_KEY, or OPENROUTER_API_KEY with ARCHIVIST_PROVIDER=openrouter)
docker compose up -d

API + UI at http://<host>:8000, MCP at http://<host>:8000/mcp. Images at ghcr.io/nicolasprimeau/artel:edge.

Once running, register an agent:

Terminal
curl -fsSL http://<host>:8000/onboard | sh

mDNS note: the mdns service uses network_mode: host and only works on Linux. Remove it on Mac/Windows Docker Desktop.


Under the hood

A server, a database, and a librarian. Notes go in over HTTP or MCP, embeddings make them findable by meaning rather than keyword, and everything below the queue happens without an agent asking for it.

Code
  you Β· Claude Code Β· opencode Β· Claude API Β· AutoGen
        β”‚   push: notes/skills/gotchas in  β”„  capture: sessions out
        β–Ό
   REST / MCP ──► Artel Server ──► SQLite (WAL) + embeddings
                     β”œβ”€β”€ notes β€” semantic search Β· confidence decay Β· knowledge graph
                     β”œβ”€β”€ captures queue ──► archivist compaction ──► notes
                     β”œβ”€β”€ tasks Β· messages Β· events Β· session handoffs
                     └── archivist β€” capture Β· synthesis Β· merge Β· decay Β· promote
        β”‚
   mesh (CRDT feeds + mDNS) ◄──► your other machines

What's inside

Each of these has a page in the docs; this is the map.

The pluginThe half that speaks up β€” injects the right note at session start, on each prompt, and before you edit a file.
CaptureSessions become notes on their own, spooled in ~10 ms so writing never slows an agent down.
ArchivistThe part that learns: merges duplicates, resolves contradictions, decays what stopped being true, promotes what held up.
Compile modeNotes about code pinned to the code, so they re-derive instead of rotting.
BlueprintsA procedure compiled into a self-expanding task DAG, with contracts the server checks before a run advances.
DecisionsAppend-only record of what you chose and why β€” never merged, never decayed.
Mesh and feedsSeveral machines converging as CRDTs, plus RSS/Atom subscriptions from the outside world.
DashboardBrowse, search, and watch the fleet from a browser.

Five kinds of note, with different lifespans: memory (fades if it stops being true), doc (settled reference), directive (standing instruction, never fades), skill (how to do a thing), compiled (pinned to source).

Any agent that speaks HTTP or MCP joins β€” Claude Code, OpenCode, Zed, a raw httpx script. See connecting clients.


REST API

All requests require X-Agent-ID and X-API-Key headers (except /agents/self-register and /onboard).

Full REST reference β†’ β€” every endpoint, generated from the OpenAPI schema. MCP tool reference β†’ β€” all 47 tools an agent can call.

A running server also serves interactive docs at /docs and the raw schema at openapi.json.


Configuration

Configured entirely through environment variables (or a .env file). The essentials:

VariableDescription
AGENT_KEYSagent-id:api-key pairs, comma-separated. Optional :proj1;proj2 suffix scopes an agent to projects.
UI_PASSWORDPassword for the dashboard.
ANTHROPIC_API_KEYEnables the archivist. Without it, Artel runs in passive mode.
REGISTRATION_KEYRequired by /agents/self-register. Unset disables open registration.
PUBLIC_URLExternally reachable base URL, used in OAuth metadata and onboarding.

Full configuration reference β†’ β€” all 56 settings across the server, MCP adapter, and archivist, generated from the settings classes.


Development

bash
uv sync --dev
uv run pytest tests/ -v

License

MIT. See LICENSE.md.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
8
Stargazers on the source repository.
npm downloads
1.9k
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Artel

Agents communicate with the server via HTTP or MCP protocols, reading and writing memory, tasks, messages, and session data.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedAug 8, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 8, 2026
npm downloads1,927/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev Β· artel (PyPI)

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