10 AI agents modeled after computing pioneers — a Brooksian surgical team for architecture, implementation, review, and infrastructure. Brooks orchestrates, Jobs gates intent, Woz builds, Pike reviews, Scout reconnoiters, Bellard diagnoses, Carmack optimizes, Fowler refactors, Knuth architects data, Hightower deploys.
Performance & Deep Diagnostics — measurement-first approach to benchmarking, profiling, and low-level failure diagnosis.
Chief Architect & Orchestrator — owns conceptual integrity, delegates to specialists, enforces invariants and ADRs.
Performance & Optimization — API design, latency reduction, hot path optimization, and real-time systems.
Maintainability Gate — ensures incremental, reversible changes. Owns refactor strategy and design drift prevention.
Infrastructure & Deployment — CI/CD, IaC, container orchestration, observability. If it can't be deployed in one command, it's not done.
Uses power tools
Uses Bash, Write, or Edit tools
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Open-source governed memory and workflow receipts for AI builders
Capture what agents did, decide what becomes knowledge, and run repeatable workflows with evidence instead of vibes.
Start Here · Quick Start · What Can You Build? · Architecture · Workflow Library · Deployment · Library · Catalog
AI agents forget. Sessions end, context evaporates, and your team's hard-won knowledge disappears into the void.
Allura gives builders a self-hosted memory and governance kernel for agent systems. It is not a black box that silently decides what matters. Every memory starts as traceable evidence, then moves through scoring, review, and promotion before it becomes long-term knowledge.
Use Allura when you are building agents that need to:
Allura is for builders who want:
New to Allura? Pick your path:
| I want to… | Start with |
|---|---|
| Understand what Allura does | Read Why Allura?, then What Can You Build? |
| Install and connect my agent | docs/user-guide/getting-started.md |
| Use Claude Code with Allura | docs/user-guide/claude.md |
| Use Codex with Allura | docs/user-guide/codex.md |
| Use Claude + Codex together | docs/user-guide/cowork.md |
| Choose a governed workflow | library/README.md |
| Browse plugins | catalog/plugins.md |
| See integration examples | catalog/examples.md |
| Understand governance rules | catalog/gates.md |
| Read the canonical architecture | docs/allura/BLUEPRINT.md |
Quick verification after install:
docker compose up -d
curl http://localhost:3201/health
Allura is a foundation for builders making their own governed agent systems.
| Builder goal | Allura gives you |
|---|---|
| Persistent agent memory | MCP tools for add/search/get/list/delete with tenant isolation |
| Approved knowledge base | Raw PostgreSQL traces plus promotion-gated Neo4j knowledge |
| Agent cowork handoffs | Shared handoff packets and validation receipts for Claude, Codex, OpenCode, Cursor, and other runtimes |
| Evidence-gated workflows | Story, review, architecture, product-intake, retrospective, and RunRecord templates |
| Audit-friendly automation | Append-only events, actor identity, source metadata, and explicit approval points |
| Your own methodology library | A public library/ pattern you can copy, adapt, and extend |
If Archon is primarily a workflow runner, and Babysitter is primarily process enforcement, Allura is the governed memory and evidence layer that lets your workflows remember and justify themselves.
The library/ directory is the public chooser for builders. Start there when you want a repeatable process rather than only raw memory calls.
Choose a workflow → story, review, architecture, product intake, RunRecord
Choose an adapter → Claude, Codex, OpenCode, Cursor, or MCP HTTP
Choose governance level → local receipts, review-gated promotion, or full evidence packet
Run it → produce memory writes, validation evidence, and a closeout receipt
npx claudepluginhub allura-ecosystem/allura_memory --plugin team-ramShared Claude Code and Codex cowork protocol for Allura-governed collaboration, runtime honesty, validation, and handoffs.
Enforces Allura's 6 non-negotiable invariants via PreToolCall blocks, PostToolCall receipts, and always-on context injection. Prevents docker exec, append-only violations, missing group_id, unauthorized Neo4j mutations, and unapproved promotions.
Search, store, manage, and curate Allura Brain memories from Cowork. Full suite of 10 canonical memory operations with hybrid vector + BM25 search, HITL curator approval, and governed promotion.
Low-token context discovery for Allura workflows. Produces compact evidence-backed ContextPackets before agents plan, build, or review.
README visuals and guidance for presenting Allura Brain and governed memory.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.