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AnythingLLM Project Agents with Stellary

Connect an AnythingLLM local server to the Stellary workspace catalog and use compatible models for project missions without separating execution from cards and review.

AnythingLLM · local API target

AnythingLLM

Connected

Stellary

Launch workspace

Ready
Project context
Prepare release mission
Activity
Identity, project, and tools remain scoped

Connect the local server to a governed workspace

The local machine owns the server. Stellary Desktop reports readiness and model visibility, while the agent configuration determines where eligible missions run.

  1. 01

    Start

    Run AnythingLLM and verify that its local API target is reachable.

  2. 02

    Register

    Connect the server from Stellary Desktop and refresh discovery.

  3. 03

    Authorize

    Share only the models intended for the workspace.

  4. 04

    Configure

    Choose local execution and the available target on the agent.

  5. 05

    Observe

    Run a compatible mission and inspect its return state in Activity.

Mission STL-128

Run AnythingLLM and verify that its local API target is reachable.

Running

Checklist

Register
Authorize
Configure

Linked context

project-brief.md

The AnythingLLM server remains on the connected machine and is unavailable when that machine is offline.

Run mission

Workspace visibility without pretending every target is identical

Stellary distinguishes local server targets from repository-capable CLIs and only offers models that are ready, visible, and authorized.

Machine-owned execution

The AnythingLLM server remains on the connected machine and is unavailable when that machine is offline.

Per-workspace sharing

The user controls which discovered models become selectable by workspace agents.

Capability-aware selection

Choose missions suited to a local response server rather than assuming code or tool access.

AnythingLLM connection checklist

Text
1. Start the AnythingLLM local server
2. Connect it in Stellary Desktop
3. Refresh the local model catalog
4. Share the intended target with the workspace
5. Assign the target to a locally executed agent

Keep the local server as an execution target

AnythingLLM can join the catalog of local AI apps connected to Stellary Desktop. The workspace stores the usable capability signal, not a copy of the local model itself.

The machine must be online and connected when a mission targets that server. Readiness changes should be visible before the user launches explicit work.

Use an agent CLI for repository operations

A local API target may be appropriate for drafting, synthesis, or analysis but may not modify a linked repository. This distinction belongs in the product selection flow.

When the card requires a coding loop, use Codex, Claude Code, Cursor Agent, or another compatible CLI runner with the project repository link.

AnythingLLM target or agent CLI?

Interface

AnythingLLM local server

Local API served by AnythingLLM.

Agent CLI runner

Installed command-line agent.

Typical output

AnythingLLM local server

Model response for an eligible mission.

Agent CLI runner

Tool-using work in the linked repository.

Availability

AnythingLLM local server

Server and machine must be ready.

Agent CLI runner

CLI, login, machine, and repository must be ready.

Control

AnythingLLM local server

Workspace sharing and agent policy.

Agent CLI runner

Workspace sharing, repository scope, and tool policy.

Questions about AnythingLLM and Stellary

Is AnythingLLM installed by Stellary?

No. You run and configure AnythingLLM on your own machine, then connect the available local server through Stellary Desktop.

Can other workspace members see my local targets?

Only targets you explicitly share with the workspace become available to them. Private discovered models remain visible only to their owner.

Can AnythingLLM run every Stellary mission?

No. A mission must match the capabilities reported for that local target. Repository or specialized tool work may require a compatible agent CLI.

Does the mission result return to the card?

Eligible local missions report their result or failure through the Stellary runtime so the team can inspect the state from Activity.

Attach a local AI target to project work

Connect the server, share one ready model, and start with a compatible mission.

Download Stellary Desktop