animus-forge 1.3.0

Multi-agent orchestration framework for production AI workflows

Animus Forge

Multi-agent orchestration framework for production AI workflows.

Features

• Workflow executor — YAML-defined multi-agent pipelines with mixins (AI, MCP, queue, graph)
• Provider abstraction — Anthropic, OpenAI, Ollama, and more
• Self-improvement — Analyze codebase, generate improvements, test in sandbox, create PRs
• Budget management — Persistent token/cost tracking per workflow
• Eval framework — Benchmark and score agent outputs
• MCP tool execution — Bridge to Model Context Protocol servers
• CLI + API + TUI — Multiple interfaces for workflow management

Install

pip install animus-forge

Quick Start

# Run a workflow
gorgon run workflows/examples/build_task.yaml

# Self-improve a codebase
gorgon self-improve run --provider ollama --path /my/project

# Analyze without making changes
gorgon self-improve analyze --focus security

Self-Improvement Pipeline

The self-improve orchestrator runs a 10-stage workflow:

1. Analyze — Static analysis identifies improvement opportunities
2. Plan — AI generates an improvement plan from suggestions
3. Safety check — Validates against protected files and change limits
4. Snapshot — Creates rollback point before any changes
5. Implement — AI generates code changes
6. Sandbox test — Applies changes to temp copy, runs tests and lint
7. Apply — Writes changes to the actual codebase
8. Create PR — Creates a branch and pull request
9. Human approval — Waits for merge approval (skippable with --auto-approve)
10. Rollback — Automatic rollback if tests fail at any stage

Part of the Animus Monorepo

• Animus Core — exocortex engine
• Animus Quorum — coordination protocol
• Animus Bootstrap — system daemon

License

MIT