The super-intelligence layer for the modern enterprise.

The super-intelligence layer for the modern enterprise.

Workforce turns frontier models into a coordinated workforce that ships real work — engineering, operations, analysis — inside the tools your team already runs on. Self-hosted, secured end to end, and getting smarter every day. Already in daily production with 60 users.

Self-hosted · Built in Rust · In daily production

Built with Rust

Designed for Autonomy

Runs in Production

PLATFORM

Not a copilot. A coordinated team that ships.

Agents pick up work, do it, check each other, and ship — code, operations, analysis — with a human in the loop only where it matters.

HOW IT WORKS

Agents hand off tasks, share context, and work in parallel — a well-run team, not a single assistant waiting for prompts.

"Workforce gives a small team the output velocity of a team three to four times its size. It's a force multiplier."

CTO

Proptech PLATFORM

LINEARIn Progress
STA-428
Implement OAuth flow for third-party integrations
Add OAuth 2.0 PKCE flow supporting Google, GitHub, and Slack providers with token refresh handling.
AssigneeAAtlas
PriorityHigh
Labelauth
ProjectPlatform v2
GITHUBOpen
#142
feat: implement OAuth 2.0 PKCE flow
opened by Atlas into main
+486 -52 3 files
src/auth/oauth.ts+312 -8
src/auth/providers.ts+128 -31
src/auth/tokens.ts+46 -13
CI passing1 approval

POWERED BY THE BEST AI MODELS. COMPETING WITH NONE OF THEM.

Claude writes code. So does Gemini. Workforce puts them to work.

Adaptive model routingproduction-validated
Boilerplate & lint fixesFast model$$$
Refactors & testsBalanced model$$$
Architecture & designFrontier model$$$
Provider down:ClaudeGemini
Everything on the frontier model100%
Workforce routing40–60% cheaper
The model is the engine. Workforce is the driver.

Workforce routes every task to the right model and fails over automatically when a provider goes down — production-validated, 40–60% cheaper than running everything through the most expensive model. The model is the engine. Workforce is the driver.

UNDER THE HOOD

The architecture advantage

Four pillars that make Workforce production-grade

Agent: Atlas

Agent: Atlas

5 layers of memory active

Remembers your codebase, conventions, team preferences, and past decisions. Gets smarter every session.

Remembers your codebase, conventions, team preferences, and past decisions. Gets smarter every session.

memory since

Day 1 — Feb 2026

Persistent Memory

Persistent Memory

Five layers of memory — from working session state to organisation-wide knowledge. Agents learn your codebase, conventions, and preferences. Day 30 is dramatically better than day one.

Five layers of memory — from working session state to organisation-wide knowledge. Agents learn your codebase, conventions, and preferences. Day 30 is dramatically better than day one.

Security

Security

Security

Three-layer defence

Three-layer defence

Three-layer defence

Policy Engine

Policy Engine

Policy Engine

Sentinel Scanner

Sentinel Scanner

#2

#2

Integrity Verification

Integrity Verification

#3

#3

Your infrastructure

Your infrastructure

#N

#N

Self-Hosted & Secure

Self-Hosted & Secure

Your infrastructure. Your control. Three-layer security: policy engine, sentinel code scanning, and identity verification. Your code never leaves your environment.

Your infrastructure. Your control. Three-layer security: policy engine, sentinel code scanning, and identity verification. Your code never leaves your environment.

Search provider...

Search provider...

Anthropic

Anthropic

Gemini

Gemini

GROK

GROK

OpenAI

OpenAI

Multi-Provider Failover

Multi-Provider Failover

Claude goes down? Agents seamlessly switch to Grok or Gemini. Adaptive model routing saves 40–60% on token costs by matching task complexity to model capability.

Claude goes down? Agents seamlessly switch to Grok or Gemini. Adaptive model routing saves 40–60% on token costs by matching task complexity to model capability.

Integrations

Integrations

Integrations

Platforms

Platforms

GitHub

GitHub

GitHub

Linear

Linear

Linear

Recent activity

Recent activity

PR #248 merged to main

PR #248 merged to main

PR #248 merged to main

STAR-142 moved to Done

STAR-142 moved to Done

STAR-142 moved to Done

Full Dev Lifecycle

Full Dev Lifecycle

GitHub, Linear, Slack — fully integrated. Agents clone repos, create PRs with reviewers, check CI status, and merge with SHA-pinned safety.

GitHub, Linear, Slack — fully integrated. Agents clone repos, create PRs with reviewers, check CI status, and merge with SHA-pinned safety.

CAPABILITIES

Deep integrations, not shallow wrappers

Workforce connects to the tools your team already uses — managing the full lifecycle in each, not just reading data.

Shallow wrapper
taps the surface
API surface
Service layer
Data model
Permissions
Your data
Deep integration
full read + write, end to end
API surface
Service layer
Data model
Permissions
Your data

INTEGRATION

GitHub

Full PR lifecycle — clone, branch, review with inline comments, CI checks, and SHA-pinned merge. Agents manage the complete workflow autonomously.

INTEGRATION

Linear

Multi-workspace issue tracking with auto-triage, bulk operations, linked relations, and automatic prefix resolution across workspaces.

INTEGRATION

Slack

Agents live in your channels. Thread-aware replies, per-channel engagement controls, emoji reactions, file uploads, and multi-workspace support — they follow the social rules of a shared workspace.

INTELLIGENCE

Knowledge Graph

Indexes your entire codebase into entities and relationships. Semantic search, dependency traversal, impact analysis — all queryable in natural language.

INTEGRATION

PostHog

Product analytics, wired in. Agents query events, funnels and feature flags and surface what users actually do — with per-user OAuth or an org-wide token.

INTEGRATION

Metabase

Full dashboard control. Agents compose and edit dashboards — adding and removing cards and running questions — so reporting builds itself from data you already trust.

Plus anything else your team runs — connect any internal or third-party tool through self-hosted MCP, with proper OAuth and no bespoke wrapper required.

BY THE NUMBERS

Production-grade at scale

Workforce isn't a prototype — it's battle-tested infrastructure running across production codebases today.

7,600+

code entities indexed across production repos

26,000+

relationships mapped in the knowledge graph

40–60%

cost savings via adaptive model routing

IN PRODUCTION

In daily production. 60 users and counting.

We don't disclose names yet — but Workforce is in daily production right now, shipping real work on codebases teams depend on. Engineering is the beachhead, not the ceiling: the same engine — coordinated agents, knowledge surfacing, work that actually ships — runs operations and analysis across healthtech, family offices and financial services.

In production
Fashion Tech
Seed · New York, US
Building an asset management platform for personal fashion. Full dev lifecycle powered by Workforce — from ticket to production.
In production
Real Estate
Growth · London, UK
CRM platform built for a UK property client. Agents handle feature development, code review, and CI/CD across the full stack.
Want to be next?

We're onboarding a small number of teams each quarter. If you have real work that needs more throughput — engineering, operations, analysis — let's talk.

BUILT WITH RUST · SHIPS IN PRODUCTION

GET STARTED

Deploy in three steps

Deploy in three steps

Workforce integrates with your existing stack — no new UI to learn, no workflow to change.

STEP 1

Configure

Define agents in a single TOML file. Give them identity, capabilities, memory, and tool access. Connect to GitHub, Linear, and Slack.

STEP 2

Deploy

Agents bootstrap themselves — reading identity files, checking recent work, scanning for active tasks. If there's unfinished work, they resume. If clear, they wait for instructions.

STEP 3

Scale

Add agents as workload grows. Spin up sub-agents for parallel execution. Adaptive routing optimises cost automatically. Track per-ticket costs in real time.

EARLY ADOPTERS

What engineering leaders are saying

Early adopters on what it's like to have AI agents shipping alongside their team.

We went from a 2-week PR cycle to shipping daily. The agents pick up tickets, write code, review each other's work, and merge — our team just steers the architecture.

CTO

Proptech Platform

We went from a 2-week PR cycle to shipping daily. The agents pick up tickets, write code, review each other's work, and merge — our team just steers the architecture.

CTO

Proptech Platform

FAQ

Frequently asked questions

Frequently asked questions

Everything you need to know about deploying Workforce in your environment.

Everything you need to know about deploying Workforce in your environment.

How is Workforce different from GitHub Copilot or Cursor?

Copilots autocomplete your code line by line. Workforce agents autonomously pick up work, understand your codebase and context through a knowledge graph, do the work end to end — code, operations, analysis — review each other, and ship when checks pass. They're teammates, not autocomplete.

Is Workforce self-hosted?

Yes. Workforce runs entirely in your infrastructure. Your code, your data, your control. This is critical for organisations handling sensitive data or operating in regulated industries.

What LLM providers does it support?

Workforce supports Claude, Grok, and Gemini with automatic cross-provider failover. If your primary provider goes down, agents seamlessly switch to the next available model. Adaptive routing also optimises cost by matching task complexity to model capability.

How long does deployment take?

Most teams are running their first agents within days. Agents are configured in a single TOML file, connect to your existing GitHub, Linear, and Slack, and bootstrap themselves automatically.

What programming languages does it support?

Workforce is built in Rust and is language-agnostic — agents can work with any codebase. The knowledge graph indexes functions, structs, traits, and modules across your entire repo.

How does the memory system work?

Workforce uses five layers of persistent memory — working, episodic, semantic, team, and organisation — backed by both filesystem and vector store. Agents actively curate their long-term memory during scheduled heartbeats, reviewing daily notes and distilling what matters.

What does licensing look like?

We offer flexible licensing models including annual platform licenses with implementation support. Book a demo and we'll walk you through pricing based on your team size and needs.

Ready to see Workforce in action?

Book a 30-minute demo. We'll show you autonomous agents shipping real code in a production environment.

Ready to see Workforce in action?

Book a 30-minute demo. We'll show you autonomous agents shipping real code in a production environment.

Ready to see Workforce in action?

Book a 30-minute demo. We'll show you autonomous agents shipping real code in a production environment.