What it does
5 features
Moltis · Self-hosted personal agent
Product and access
Moltis is listed as a separate product profile.
Core features
5 features from provider sources · checked on 16 October 2026. Availability and limits are listed below.
Usable AI models
Open choice
You can use many providers with your own key or sign-in, OpenRouter and any OpenAI-compatible endpoint. Models run locally through Ollama, LM Studio or directly as GGUF files on your machine.
Model families named
- Anthropic (Claude)
- OpenAI (GPT)
- Google (Gemini)
- DeepSeek
- Mistral
- xAI (Grok)
- MiniMax
- Moonshot (Kimi)
- Z.ai (GLM)
- Other models can be connected freely
- Model choice
- You choose
- Your own API key
- Yes
- Router or custom endpoint
- Yes
- Local models
- Yes
The rating covers the generally available main access. Documented · Sources accessed on
Does it fit my task?
2 practical tasks · 3 requirements and limits
A good fit if …
- you want to run an agent server on your own hardware or a cloud instance
- you want commands to run in containers controlled through approval_mode
- you want to address the agent via Telegram, Slack, Signal or voice
Less suitable if …
- you want a hosted service with support and contract without running your own server
- you need a solution without configuring approvals and monitoring yourself
Editorial assessment based on provider documentation. Not a product test.
Practical tasks
Editorial examples based on documented features. No product tests performed.
Try a voice briefing
- Your input
- A short voice message with a task.
- Possible result
- A response through the configured voice services.
- What to check
- Check content, permissions and actions taken.
Prepare web research
- Your input
- A research question and approved websites.
- Possible result
- A sourced overview for manual review.
- What to check
- Record time spent, corrections and costs.
Try a voice briefing.
Your possible prompt
Compare three providers for [task]. Use their official documentation. Show differences, sources, and open questions in a table.
Adjust the task, data and permissions.
Requirements and limits
Can I use it?
With requirements
Europe & regional availability
Installation instructions and model prerequisites reviewed. The assessment covers the local operating path described; complete country and feature availability of all connected services remains open.
Reviewed scope: Local software and documented self-hosting; external services assessed separately
Reviewed on:
With requirements
Self-hosting with own model access
Moltis documents installation as a binary, through Homebrew or Docker on your own hardware. Local and external model providers are supported; check external models, voice services and channels separately.
Region, reason and source
Region covered: Europe: own computer or server; model services are country-specific
Documented reason: Technical assessment based on installation and provider selection. These sources do not establish a legal cause for regional restrictions.
Accounts & permissions
Based on provider documentation. Permissions depend on the account, integration and organization policies. Review the permissions actually requested before use.
Configuration covered: Self-hosted Moltis server (open source)
Sources reviewed:
Show all 3 points
Documented
Account used
Server access uses a password, passkey or API key; API keys need at least one scope (read, write, admin, approvals, pairing). Sensitive data in the database, such as API keys and tokens, is stored encrypted.
EvidenceDocumented with conditions
Admin approval
The approval_mode setting decides whether commands are always confirmed, confirmed by assessment (smart, the default) or never. A built-in blocklist still requires confirmation under "never".
EvidenceDocumented with conditions
Data access & team sharing
Sandbox containers have no network access by default, and managed files are mounted read-only by default. Channels such as Telegram or Slack let outside parties talk to the agent, which requires approving senders. According to the README each agent has its own memory workspace.
Evidence · Evidence
Memory and conversation continuity
6 of 6 criteria documented
Markdown and hybrid indexes connect fact maintenance, retrieval and configurable handoffs.
Built-in memory; optional alternative backends
Sources accessed:
Documentation by criterion
StorageDocumented
Storage and scope
Markdown under ~/.moltis/MEMORY.md and memory/ is combined by default with SQLite, full-text and vector indexes; backends are replaceable.
SelectionDocumented
Selection and timing
Write modes control automatic and explicit saving; a silent memory flush can occur before compaction.
Edit & deleteDocumented
Inspect, edit and delete
Files and settings are accessible; save, forget and delete tools and reindexing after changes are described.
Access boundariesDocumented
Agent and channel boundaries
Agents have their own workspaces; profile and conversation archives are distinguishable storage surfaces.
RetrievalDocumented
Retrieval
The default mode combines prompt memory with hybrid retrieval; alternative modes and search backends are configurable.
New conversationsDocumented
Session reset and compaction
New sessions and resets can export sanitized transcripts; selected knowledge can be saved persistently before context compaction.
Cost and effort
Prices as of 16 October 2026
Prices and included usage
Pricing checked
Open source; model and operating costs are separate.
- Total cost depends on access, usage and configuration.
Setup
Install through Homebrew, Docker or a release; connect a model.
Operation & oversight
Based on public provider documentation. Assessments are editorial inferences from the stated properties. Actual time requirements and reliability have not been measured.
Deployment covered: Self-hosted Moltis server on your own machine or cloud instance
Sources reviewed:
Editorial assessment
You run and update the server yourself, but approval mode and monitoring are configurable. Beyond skills and memory, you need to define your own procedure for failures and backups.
Show all 6 points
Documented
Files and working state
Sessions are stored as JSONL files and memory in SQLite with full-text and vector search. Sessions compact automatically, and recall works across sessions.
EvidenceDocumented
Sign-ins
The vault unseals automatically at login and reseals when the server restarts. While sealed, requests to protected endpoints get a 423 response.
EvidenceDocumented
Starting further runs
Further runs start manually via the web UI, API or channels such as Telegram, Slack or Discord. A built-in cron scheduler triggers timed tasks.
EvidenceDocumented with conditions
Human intervention
Depending on approval_mode, commands require confirmation. You can list pending requests with /approvals and decide via Telegram or WhatsApp with /approve or /deny.
EvidenceDocumented with conditions
Resuming after failures
Moltis takes automatic checkpoints before changes to built-in skills and memory, with restore tooling and session branching.
Evidence
Evidence and open questions
1 source · 2 open points
Open points
The reviewed sources contain no reliable information on these points. A gap says nothing about the product.
Requirements and limits: not yet confirmed
Sources and evidence
Provider sources reviewed; examples are editorial. No hands-on tests.
Editorial team: Michael Meierhoff · sources reviewed on . Provider information is not independent evidence of performance.
Provider
Publishes Moltis and the linked product information.
- Operator
- Moltis project
- Organization
- Open-source project
- Website
- github.com
Changes to this profile 1
Added Moltis with capabilities, sources, pricing and open European availability questions.
These notes describe editorial changes. Source and pricing review dates appear in their respective sections.