Multi-agent development infrastructure

Shared memory, coordination, and automation for AI-native engineering systems.

CHAOS Engine provides the backend infrastructure for multi-agent development: ranked context injection, session-aware execution, event streams, task queues, git automation, file watchers, audit trails, and local-first persistence across the development lifecycle.

Request Beta Access View Pricing Read the Docs

Five systems behind the CHAOS Engine

Every layer of the stack - orchestration, context, providers, git, and tooling - designed to work together.

Context & Memory

Know your agents have the right context.

CHAOS keeps project knowledge from scattering, drifting, or going stale across prompts, sessions, docs, and workflows. It helps each run start with relevant context while continuously improving what the system remembers and trusts over time.

Technical layer

Ranked retrieval, context hydration, token budgeting, persistent project memory, KID-driven relevance maintenance, semantic drift detection, context compression, documentation regeneration, and Praxis promotion keep execution grounded in current, validated knowledge.

Session & Orchestration

Coordinate every task from one place.

CHAOS gives complex development work a shared operating layer: tasks can be sequenced, tracked, handed off, and collected without turning the terminal into a spreadsheet.

Technical layer

Session state, task metadata, a PM runtime, queues, dependency tracking, pipeline sequencing, event streams, and structured result collection coordinate multi-step development workflows.

Automation & Git

Move from prompt to pull request.

CHAOS turns repeatable engineering tasks into workflows that stay connected to the repository. Planning, testing, reviewing, documenting, committing, and PR preparation can operate from the same execution layer.

Technical layer

Skills, fuzzy command routing, workflow templates, hooks, file watchers, branch-aware automation, diff tracking, commit preparation, and pull-request support connect development intent to reviewable repository changes.

Governance & Auditability

Keep every run controlled and explainable.

CHAOS makes AI-assisted development easier to trust by defining what workflows can do and preserving the evidence behind each result. Users can inspect what ran, what changed, and why a decision was made.

Technical layer

Permission scopes, capability boundaries, tool access rules, validation, event timelines, prompts, tool calls, outputs, decisions, and file changes create an audit-backed execution record.

Local-First & Integration Layer

Use any client through one local engine.

CHAOS runs close to the code instead of hiding the control plane in a remote service. Teams can keep using preferred editors, providers, and clients while sharing the same context, memory, orchestration, and audit systems.

Technical layer

Local databases, local orchestration, local session state, MCP servers, provider adapters, editor compatibility, and a shared local capability surface provide portable infrastructure without a mandatory CHAOS cloud backend.

From setup to orchestration

Install CHAOS

Add the local engine to your development environment.

Connect your project

Point CHAOS at the repository so it can index context, sessions, and workflow state.

Run coordinated workflows

Dispatch agents for planning, coding, testing, review, docs, and git from one shared execution layer.

Ready to test CHAOS?

Apply for private beta access and tell us how you want to use CHAOS.

Request Beta Access