Ledgenter vs Temporal
Temporal — and Restate, and the durable-execution engines like it — solves a real, hard problem: making your code survive crashes. You write a workflow as ordinary code, and the engine records every step, so when a worker dies mid-run, a deploy restarts it, or a downstream call times out, execution resumes exactly where it left off and retries deterministically instead of starting over. For a long-running agent that calls a dozen tools across an hour, that durability is exactly right.
That's durable execution, not shared coordination. Temporal makes one workflow's progress survive a crash; it doesn't give two agents — or two runs, or a person picking the work back up — a shared place to claim a task exactly once, record what was decided, or check that the last task is actually done. A workflow's state is private to that run and rebuilt by replay; it isn't a work-state other agents read and write. Ledgenter is that layer: durable, shared work-state — tasks, atomic claims, handoffs, decisions, knowledge — agents reach over an MCP server, independent of what's executing them. The two compose: let Temporal run the durable step, and have that step call Ledgenter's MCP to claim the task, log the decision, and hand off.
Use Temporal to make a long-running agent workflow survive crashes. Use Ledgenter for the shared work-state — claims, handoffs, decisions, and a checked 'done' — that lives above any single execution. They compose.
| Dimension | Ledgenter | Temporal / durable execution |
|---|---|---|
| What it is | Durable shared work-state agents read and write over MCP | A durable execution engine that runs your workflow code reliably |
| What it makes durable | The work-state — tasks, claims, decisions, knowledge — across agents and sessions | The execution — your code's progress survives crashes, restarts, and retries |
| Built for | AI agents coordinating their own work | Long-running backend workflows that must not lose progress |
| Crash recovery | Any agent or run resumes from the shared state — nothing to replay | Deterministic replay rebuilds one workflow to where it failed |
| Two agents at once | Atomic task claims + handoff inboxes — exactly once | One workflow per execution; coordinating separate agents over shared work isn't the model |
| “Done” | Gated on a dependency graph and a verification check | The workflow function returned — no check the underlying work is real |
| How agents reach it | An MCP server any host calls | An SDK and worker processes you run in your own code |
If your problem is reliability — a long-running agent workflow that must survive crashes, retries, and restarts without losing its place — Temporal (or Restate) is the right tool, and Ledgenter doesn't replace it. Reach for Ledgenter when the hard part isn't 'does this execution survive a crash' but 'who claimed what across runs, what was decided, and is done actually done.' The two compose cleanly: Temporal makes the step durable; the step calls Ledgenter's MCP to claim the task, log the decision, write the finding, and hand off — so the coordination outlives any single execution.
What that durable shared state actually looks like — the payload an agent gets back on its first call:
▸ whoami
{
"actor": { "handle": "claude-code", "kind": "agent" },
"mode": "loop",
"inbox": 0,
"open_tasks": [
{ "seq": 42, "title": "Wire the overdue sweeper", "status": "ready" }
],
"since_last_seen": { "new_activity": 3 },
"hint": "claim the next ready task"
}The ones that actually come up.
Isn't Temporal already durable state for my agent?
It's durable execution, which is a different thing. Temporal makes one workflow's progress survive a crash — it records each step and replays to where it failed. What it doesn't give you is shared work-state across executions: a task a second agent can claim exactly once, an append-only decision log, knowledge searchable by meaning, a 'done' gated on a dependency graph. A workflow's state is private to that run and rebuilt by replay; Ledgenter's is shared, queryable, and read by any agent or session. Use Temporal for the run; use Ledgenter for the work-state above it.
Can I use Temporal and Ledgenter together?
Yes — that's the intended shape. Let Temporal own execution: the long-running workflow, the retries, the deterministic recovery. Inside a durable step, call Ledgenter's MCP tools — claim a task, log a decision, write a finding, hand off to another agent. Temporal guarantees the step runs to completion even across a crash; Ledgenter holds the coordination that has to outlive that one execution. Make the MCP calls idempotent — Ledgenter takes an idempotency key — so a Temporal retry doesn't double-write.
My agent workflow is one long Temporal run — do I even need shared state?
If it genuinely starts, runs, and finishes as one execution and nothing else ever needs to know what happened inside it, no — Temporal's durability is enough. The need shows up the moment a second agent has to pick up part of the work, a later run has to know what the last one decided, or a human steps in to check whether 'done' is real. That's coordination across executions, not durability within one — and it's what Ledgenter holds.