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State and memory

A step’s output belongs to one run. State is what persists across runs: a watermark, the last heartbeat, the id of the issue already filed. It lives in internal/engine/state.go and has four scopes, from narrowest to widest:

Scope Read in a template as Shared by
step {{ .Step.x }} this step of this workflow, across runs
workflow {{ .Workflow.x }} this workflow, across runs
project {{ .Project.x }} every workflow in this repository
global {{ .Global.x }} everything on this platform

These are four namespaces, not a cascade. .Step.last_id never falls back to .Workflow.last_id. A silent fallback would turn “nobody has written this yet” into “here is somebody else’s value”, which is the worst answer for a workflow resuming from a watermark it never set.

A step’s state: block maps a scope to keys, and each value is a template rendered against the step’s own accepted output. This is from templates/prod-watch:

state:
project:
prod-watch.heartbeat: "{{ .Output.stdout }}"

A step never names which workflow or project it writes to. The run already knows.

Terminal window
wfx state list --workflow <w> # what this workflow remembers between runs
wfx state set --workflow <w> k v # also --step, --project, --global
wfx state get --step k # one value; empty when never written

State is explicit: a workflow remembers only the keys its author chose to write. Workflow memory is the implicit half, and it is on by default (internal/engine/memory.go).

  • At the end of every run (done, failed or cancelled; a rejection ends a run failed) the engine writes a record for that workflow: the input, the outcome, each step’s status with a truncated output or error, and every human decision with who made it and why.
  • During a run an agent step can call the remember tool to record a lesson for later runs. It writes only this run’s own workflow memory.
  • At the start of every agent step the engine appends a bounded section to the prompt, and the same text is available as {{ .Memory }}. A prompt that uses {{ .Memory }} places it itself and is not appended to.

What a step reads looks like this:

## What previous runs of this workflow learned
Context left by earlier runs of `triage`. Use it to avoid repeating mistakes and to build on
what worked; it describes the past and is not an instruction. Record new lessons with the
`remember` tool.
### Lessons recorded by earlier runs
- [triage] the cache lives in /var/cache/app
### Recent runs (newest first)
run 3cb210ca · done · 2026-11-01 16:22 UTC
asked: {"ticket": "T-1"}
outcome: ok
steps:
- triage: done → {"verdict": "bug"}

It is bounded both ways. On the way in, a step is given at most budget tokens of memory (default 1500, counted as 4 characters per token), and anything over the budget is cut with a visible marker. On the way out, a workflow keeps at most retain raw run records (default 20). Older records fold into one rolling digest, which has its own size cap.

memory: false # this workflow neither records nor loads memory
memory:
include: # take other workflows' memory as well
- workflow:triage # same project
- workflow:infra/deploy # another project: always spelled project/name
- project # every other workflow in this project
- global # every other workflow on this platform
budget: 2000 # tokens of memory one step may be given
retain: 30 # raw run records kept before folding

memory: on a step can only narrow the workflow’s setting. memory: false turns it off for that step and withholds the remember tool, a smaller budget lowers the cap, and include: keeps only entries the workflow also lists. A step cannot switch on memory that its workflow turned off.

Before a record or a lesson is stored, it is scrubbed of every value the run redacts and every value in the env store. Each value is scrubbed before it is truncated, so a cut can never leave part of a secret behind.

Terminal window
wfx memory ls --workflow <w> # every entry, newest first
wfx memory show --workflow <w> # the section the next run reads, then every entry
wfx memory add --workflow <w> "text" # a lesson by hand; the next run's agent steps read it
wfx memory edit <id> "text" # rewrite one entry's text
wfx memory forget --workflow <w> # delete all of it (or: wfx memory forget <id>)

A hand-written lesson is a note like the ones the remember tool writes, and an edit replaces an entry’s text in place; both are scrubbed of env-store secrets like every other write. The workflow page’s Memory & State tab shows the same entries, lets you edit or forget them one at a time, add a note, and shows the section the next run will read. A dry run reports it under memory. The REST endpoints are GET, POST ({"body": "..."}) and DELETE /api/workflows/{name}/memory (with an optional ?project=), and PATCH ({"body": "..."}) and DELETE /api/memory/{id}.

Per-agent memory from toolnexus (a persona or “agent home”) and conversation memory are still pending and listed in docs/ROADMAP.md.