Workforce turns language models into autonomous engineering teammates — with persistent memory, production tooling, and enterprise-grade security.
PLATFORM
Not a copilot. A coordinated engineering team.
Workforce agents pick up tickets, write PRs, review each other's work, and merge when CI passes.
HOW IT WORKS
Agents coordinate task handoffs, share context, and work in parallel — like a well-run engineering 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 not automation — it's multiplication."
CTO
HEALTHCARE PLATFORM
UNDER THE HOOD
The architecture advantage
Four pillars that make Workforce production-grade — not another prototype.
Persistent Memory
Five layers of memory — from working session state to organisation-wide knowledge. Agents learn your codebase, your conventions, and your team's preferences. Day 30 is dramatically better than day one.
Self-Hosted & Secure
Your infrastructure. Your control. Policy engine, sentinel code scanning, and identity file integrity verification. Your code never leaves your environment.
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.
Full Dev Lifecycle
GitHub, Linear, Slack — fully integrated. Agents clone repos, create PRs with reviewers, check CI status, and merge with SHA-pinned safety. The full engineering workflow, automated.
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.
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
Socket Mode presence with per-channel engagement controls. Thread-aware replies, emoji reactions, file uploads, and multi-workspace support.
INTELLIGENCE
Knowledge Graph
Indexes your entire codebase into entities and relationships. Semantic search, dependency traversal, impact analysis — all queryable in natural language.
ENGINEERED FOR AUTONOMY
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
Running on real codebases today.
We don't disclose customer names — but here's where Workforce is shipping code right now.
Want to be next?
We're onboarding a small number of teams each quarter. If you're running a codebase that needs more engineering throughput, let's talk.
BUILT WITH RUST · SHIPS IN PRODUCTION
GET STARTED
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.
INSIGHTS
Thinking on AI engineering
Perspectives on autonomous agents, orchestration, and the future of software development.
EARLY ADOPTERS
What engineering leaders are saying
Early adopters on what it's like to have AI agents shipping alongside their team.
FAQ
How is Workforce different from GitHub Copilot or Cursor?
Copilots autocomplete your code line by line. Workforce agents autonomously pick up tickets from Linear, understand your codebase through a knowledge graph, write pull requests, review each other's work, and merge when CI passes. 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.