Temporal replays code. LangGraph orchestrates graphs.
SemanticRun freezes what your agent already committed — and resumes with proof of what drifted.
Artifact-aware durable agent environment for Python.
Survive crashes, human waits, model swaps, and tool drift — without redoing completed work or silently replaying side effects.
from semanticrun import SemanticRun, PolicyMapping
env = SemanticRun.open("./runs.db")
run = env.start(
intent="Onboard lead_42",
plan=["research", "draft", "approve", "send"],
policies=PolicyMapping(
tool_result_hash_mismatch="revalidate",
model_id_changed="fail_fast",
outbound_payload_divergence="fail_fast",
),
)
for step in run.steps(): # completed steps skipped on resume
if step.name == "research":
lead = step.tool("crm_lookup", lambda: crm.lookup("lead_42"),
hash_exclude=["created_at"])
elif step.name == "draft":
draft = step.llm(lambda: llm.draft(lead), model="gpt-4.1")
step.remember("draft_email", draft)
elif step.name == "approve":
step.require_approval("send_email", {"draft": draft})
elif step.name == "send":
step.tool("send_email", lambda: mail.send(draft),
side_effect="external",
outbound={"to": lead["email"], "body": draft})
run = env.resume(run_id, artifacts=...) # matrix + policies; cursor continues
Why SemanticRun
| Temporal | LangGraph | SemanticRun | |
|---|---|---|---|
| Core idea | Replay workflow code | Orchestrate agent graphs | Diff committed artifacts on resume |
| Durability | Event history | Checkpointers | Sync checkpoints + plan cursor |
| Drift (tools / models / files) | App-level | App-level | Divergence matrix + enforced policies |
| Side effects | Activity semantics | App-managed | Outbound payload hash gate |
Not a Temporal or LangGraph plugin — the environment your agent runs in when the question is “what already happened, and is it still true?”
Install
pip install SemanticRun
# from source:
pip install -e ".[dev]"
pytest
python examples/survive_the_swap.py
What you get
- Durable plan cursor —
run.steps()skips finished work after resume - Sync checkpoints — written before the step returns (SQLite)
- Divergence matrix — mechanical diffs; no LLM guessing
- Enforced policies —
fail_fast/revalidate/strict_reset - Outbound replay gate — refuse divergent external side effects
License
MIT
1 maintainer
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