ZizkaDB

ZizkaDB

Zizka AI SL
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About

Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.

About

ZizkaDB by Zizka AI is an operational intelligence database for production AI agents. The platform helps teams understand why an agent behaved a certain way by capturing decisions, causal lineage, session replay, and behavioral drift. ZizkaDB gives developers tools to replay agent sessions end to end, compare behavior against a baseline, and detect regressions before users notice. It supports Python SDK, TypeScript SDK, Cursor MCP, native tools, REST API, open source self-hosting, and managed cloud deployment. Teams can use ZizkaDB to investigate prompt changes, skipped tool policies, inconsistent answers, and costly retry loops. Built for AI engineering teams, ZizkaDB helps debug production agents faster and improve agent reliability with clearer operational visibility.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support

Audience

ZizkaDB is best suited for AI engineering teams, agent builders, platform teams, developers, startups, enterprises, ML engineers, DevOps teams, and organizations that need agent observability, session replay, causal lineage, behavioral drift alerts, time travel, production debugging, semantic history search, MCP integration, self-hosted infrastructure, managed cloud, and cross-agent fleet monitoring

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Version
Free Trial

Pricing

Free
Open Source
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool.

Cons

  • It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.

Pros & Cons from Real Users

Pros

  • has amazing feature which are required for this phase of ai development zika db has everything in it

Cons

  • would appreciate if support is upgraded currently its limited

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

Zizka AI SL
Founded: 2026
Spain
zizka.ai

Alternatives

Claude Code

Claude Code

Anthropic

Alternatives

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

CrewAI
Docker MCP Gateway
LangChain
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2

Integrations

CrewAI
Docker MCP Gateway
LangChain
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Claim Muse Code and update features and information
Claim Muse Code and update features and information
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