talkops.ai

The industry's first open-source, multi-agent framework for DevOps automation.
Specialized AI agents that plan, provision, deploy, and monitor — on your command.

Modern infrastructure is brutally complex. Engineers juggle Terraform states, dense Kubernetes manifests, CI/CD pipelines, multi-cloud networking, and incident response — often simultaneously. The result?

• Knowledge silos — Junior engineers need years before they can safely touch production.
• Expert bottlenecks — Senior architects fight fires instead of doing strategic work.
• Documentation rot — Static runbooks can't adapt to the weird edge-case your system is experiencing right now.

TalkOps changes this. We turn your DevOps expertise into autonomous, specialized AI agents. You describe what you need in plain English — the agents negotiate, plan, and execute the work for you.

TalkOps is not a chatbot hooked up to a bash terminal. It's a structured, enterprise-grade orchestration framework powered by LangGraph.

┌─────────────────────────────────────────────────────────────────────┐
│                          YOU (Natural Language)                      │
│                 "Deploy the checkout service to AWS                  │
│                  and set up Prometheus monitoring"                   │
└───────────────────────────────┬─────────────────────────────────────┘
                                │
                                ▼
                   ┌────────────────────────┐
                   │    Supervisor Agent     │
                   │  (Intent → Task Graph)  │
                   └─────┬──────────┬───────┘
                         │          │
              ┌──────────▼──┐  ┌───▼──────────┐
              │ Infra Agent  │  │  Monitoring  │
              │  (Terraform) │  │    Agent     │
              └──────┬───────┘  └──────┬───────┘
                     │                 │
              ┌──────▼─────────────────▼──────┐
              │     Human Approval Gate       │
              │  (GitOps · Dry-run · RBAC)    │
              └──────────────┬────────────────┘
                             │
                             ▼
                    ┌─────────────────┐
                    │  Apply & Report  │
                    └─────────────────┘

The Supervisor Agent interprets your intent, decomposes it into a DAG of tasks, routes each task to the right specialist, and aggregates results. Nothing touches production without a Human Approval Checkpoint. Everything is GitOps-native — agents generate the changes, commit to Git, open a PR, and wait.

TalkOps ships with domain-expert agent swarms — each obsessively focused on a single operational domain:

Our flagship agent uses a Deep Agent architecture with a multi-stage pipeline:

User Request → Supervisor → TF Planner (3 sub-agents) → TF Generator → TF Validator → GitHub Agent
                                                              ↑              │
                                                              └──── retry ───┘

It generates complete, production-ready Terraform modules (main.tf, variables.tf, outputs.tf, versions.tf, README.md) — validated in a sandbox with terraform validate before delivery. Security best practices (least-privilege IAM, SSE with KMS, VPC flow logs) are enforced at the prompt level, not bolted on.

📖 AWS Orchestrator Docs →

AI agents are only as useful as the tools they can safely access. We use the Model Context Protocol (MCP) — an open standard — to connect agents to your infrastructure through secure, task-scoped tool interfaces.

Security model: Agents never hold long-lived credentials. MCP servers issue ephemeral, task-scoped tokens that expire within 30 minutes and are restricted to the exact resources authorized for the active task.

🔧 Build your own: MCP is an open standard. Write a custom server for your internal tools and TalkOps agents will discover and use them automatically.

TalkOps is built on a three-layer protocol stack:

Trust is non-negotiable when AI touches infrastructure:

• Multi-layered guardrails — Technical limits, policy enforcement, behavioral constraints, and LLM content safety
• Confidence-based routing — Low-risk ops auto-approve; high-risk ops halt for human review; destructive ops require multi-admin sign-off
• Immutable audit trails — Every action produces a cryptographically traceable log (who requested, who approved, which policies evaluated) for SOC 2 / HIPAA / ISO 27001 compliance

# Clone the orchestrator
git clone https://github.com/talkops-ai/aws-orchestrator-agent.git
cd aws-orchestrator-agent

# Configure environment
cp .env.example .env
# Set GOOGLE_API_KEY, GITHUB_PERSONAL_ACCESS_TOKEN, TERRAFORM_WORKSPACE

# Launch
docker compose up -d

# Open TalkOps UI
open http://localhost:8080

Then just type what you need:

"Create an S3 bucket with versioning and customer-managed KMS encryption"

The agent will plan → generate → validate → deliver production-ready Terraform, and wait for your approval before pushing to Git.

We're building this in public and we want you to be a part of it. Whether it's fixing a typo, adding a new MCP server, or proposing an entirely new agent swarm — contributions are welcome.

1. Fork the relevant repository
2. Create a feature branch (git checkout -b feat/my-feature)
3. Commit your changes (git commit -m 'feat: add my feature')
4. Push and open a Pull Request

Building something with TalkOps? Need help integrating AI agents into your DevOps workflow? We'd love to hear from you.

🌐 talkops.ai/services  ·   💻 GitHub  ·   💼 LinkedIn

_{Built with ❤️ by the TalkOps team · Open source under the MIT License}