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What is EdgePlane?

AI agents can write code, run tools, and reason over architecture. What they cannot do is coordinate.

Without a shared system of record, parallel agents duplicate effort, diverge on state, and collide on artifacts with no resolution path. There is no overlap detection, no structured ownership, no audit trail, no governance boundary.

EdgePlane is the coordination layer. It is a control plane for AI agents and human collaborators operating against shared, durable, governed state.

Kubernetes orchestrates containers.
EdgePlane orchestrates agents, domains, and knowledge.

  • Not a workflow runner
  • Not a pipeline framework
  • Not a chatbot UI

It is infrastructure that enables parallel, governed, auditable AI execution inside an organizational context.

Domains define the bounded objective, knowledge scope, permission boundary, and governance policy. Domains don’t complete — they scope. Tasks complete.

Missions are workstreams inside a domain for a targeted outcome. Artifacts cohere here; context continuity lives here.

Tasks are units of work inside a mission. They have owners, dependencies, definitions of done, and status.

Artifacts are persisted outputs bound to a mission — documents, binaries, skill bundles, agent results. Stored in S3-compatible object storage.

Agents are identities (human or AI) that perform work. They carry capabilities, status, and a domain anchor.

CapabilityWhat it does
Overlap DetectionFuzzy + vector similarity runs before task and artifact creation — collisions surface before damage occurs
Artifact LedgerEvery mutation recorded in Postgres, vector-indexed for search, committed to Git with full provenance
MCP-Native InterfaceStandard MCP stdio tools — works with any MCP-compatible agent runtime
Governance & ApprovalsVersioned policy lifecycle, role-based access, approval tokens
Persistent Agent Sessionsedgeplaned manages long-running agent processes; sessions survive crashes and reconnects
Semantic SearchTasks, docs, and missions are vector-indexed (pgvector) for similarity and hybrid search
Personal Agent ProfilesOperator profiles travel with the operator, not the machine — sync across devices instantly

Traditional software stacks have hardware → OS → containers → orchestration → application. The AI-native stack adds a missing layer:

Models
Agents
Tooling Interfaces (Skills / MCP)
Coordination Layer ← EdgePlane
Working File Store (S3)
Governance + Policy
Organizational Memory of Record (Git)

EdgePlane fills the coordination layer between autonomous agents and durable system state.

edgeplane is a compiled Rust binary that carries MCP transport, policy context, session wiring, and local orchestration in one deterministic artifact. This reduces runtime dependency drift, narrows the local attack surface, and creates clear audit boundaries between the agent runtime and the control plane.

Agents request actions. EdgePlane authorizes and records them.