Forge turns company intent into governed agentic work — connecting backlog, teams, skills, prompts, actions, runs, telemetry, capsules, and evidence in one delivery operating system.
Instead of asking people to coordinate task trackers, agent frameworks, scripts, prompts, queues, logs, CI systems, and review evidence by hand, Forge keeps the delivery path connected from request to completed run.
Delivery work now crosses project trackers, agent frameworks, prompts, scripts, queues, CI, logs, and human review. One system knows the task. Another knows the model call. Another knows the deployment. Another stores the logs. The evidence that explains why something ran — and whether it should have — is often assembled after the fact. That fragmentation becomes expensive as machine work takes on more responsibility.
Forge connects the work request, execution, authority, evidence, and result in one delivery system.
Backlog, Teams, Skills, and Prompt Lab connect the request to the people, agents, capabilities, prompts, and operating context needed to deliver it.
Move from request to owned execution. Give every meaningful piece of work a clear destination, capability set, and delivery path instead of turning the backlog into another list someone has to interpret manually.
Runs, Actions, and Telemetry expose active execution, queue state, outcomes, artifacts, signals, and exceptions.
See the work while it is happening. Know what is queued, running, blocked, failed, or complete — and where attention is actually required.
Prompt Lab, Skills, and Teams keep delivery capability explicit rather than hiding behavior inside one-off prompts or local automation.
Build reusable delivery capability. Keep prompts, skills, teams, and operating rules connected so successful execution can become a repeatable system instead of tribal knowledge.
Capsules preserve delivery evidence, lineage, anchoring state, and the execution context needed to understand what happened.
Make delivery reviewable after the run ends. Keep evidence and lineage close enough to the work that teams can inspect, review, recover, and learn without reconstructing the story from scattered logs.
Forge is not a task tracker, an agent framework, or a log viewer. Its delivery loop connects the work before, during, and after execution. The request becomes structured work. The right team and capabilities are attached. Prompts and actions prepare the execution path. Runs perform the work. Telemetry exposes what is happening. Capsules preserve the resulting evidence.
Delivery becomes a closed operating loop instead of a chain of disconnected tools.
Operate the delivery control plane for agentic work: what is ready, who or what can execute it, what is running, what happened, and what evidence remains.
Give engineering and operations one place to move work from intention to execution without losing state, responsibility, or proof.
Configure users, connection surfaces, schedules, preferences, security posture, and the operating settings behind Forge.
Keep the delivery system's access and operating boundaries explicit instead of scattering them across local tools and one-off automation.
Prometheus gives Forge one reasoning layer across active delivery context. Ask:
Prometheus can combine authorized Forge state, relevant memory from Mnemosyne, and governed execution context before recommending or initiating work.
The team should not have to reconstruct delivery state across tickets, logs, prompts, queues, and chat before it can decide what happens next.
It is the delivery operating system for companies that need machine work to move from request to execution without losing control, evidence, or accountability.
Hermes → creates a commercial/product signal → Mnemosyne → retrieves relevant history → Prometheus → turns context into a delivery decision → Forge → creates and runs governed work → Agora → provides authority where required → Aureus → captures relevant financial consequence → Mnemosyne → preserves the evidence and learning
The work stays connected to the company reason it exists.
Professional Forge gives companies the control plane for teams, skills, prompts, actions, runs, evidence, schedules, connectors, and delivery governance. The value is not more process.
The value is making machine work easier to operate, review, recover, and trust.
Runs, teams, skills, prompts, actions, telemetry, evidence, and security context.
View the CTO roleBacklog, execution state, delivery evidence, risk, and company-level outcomes.
View the Founder roleWorkflow automation, exceptions, schedules, execution status, and operational evidence.
View the COO roleTurn recurring work into governed execution that can be observed, reviewed, and recovered.
Workflow AutomationKeep machine work inside explicit authority, action, and review boundaries.
Agent GovernancePreserve evidence, ownership, and execution context around consequential agentic work.
AI AccountabilitySee delivery posture and operating consequence without reconstructing it from project tools and logs.
Executive VisibilityForge includes backlog and work-state capabilities, but its purpose is broader: it connects work definition, teams, skills, prompts, actions, execution, telemetry, and evidence around agentic delivery.
No. Agent frameworks help developers construct and run agents. Forge operates the delivery system around governed machine work: intake, ownership, execution, state, evidence, review, and recovery.
Forge is designed for governed agentic execution. The authority granted to any run depends on the active policy, user/context, workflow, and permitted action surface.
A capsule is an evidence-bearing record that preserves important execution context, lineage, and delivery state so work can be inspected and reviewed after the run.
Stop rebuilding execution state from tasks, prompts, queues, logs, and review threads. Ship faster. Keep control. Prove everything.
