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awaithumans

Pause your AI agent. Ask a human. Resume with their answer. Open source human-in-the-loop (HITL) library for production LLM agents: Slack, email, and web dashboard.

Our verdict

Not reviewed yet

We have not reviewed awaithumans yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About awaithumans

Open source human-in-the-loop library for production LLM agents. It pauses an AI agent to ask a human via Slack, email, or web dashboard, then resumes with the answer. Includes typed Pydantic and Zod responses, durable Temporal and LangGraph adapters, an AI verifier, and an audit trail. Self-hosted under Apache 2.0, available in Python and TypeScript.

Best for

Teams building production LLM agents on Temporal or LangGraph that need a self-hosted human approval step.

Use cases

  • Pause an agent for human approval before executing a critical action
  • Route questions to a human via Slack or email from within an agent workflow
  • Maintain an audit trail of human interventions for compliance

Notes

24 stars on GitHub. Last updated 2026-09-11. Licensed Apache-2.0.

Pros

  • Open source and self-hosted, giving full data control
  • Typed responses in Python and TypeScript reduce integration errors
  • Includes durable adapters for Temporal and LangGraph

Cons

  • Small community (24 stars) means limited adoption and support
  • Requires self-hosting and ongoing operational maintenance
  • Tightly coupled to Temporal and LangGraph, less useful for other agent frameworks

Key facts

What we have checked

Days since the last commit
16
Checked GitHub
GitHub forks
12
Checked GitHub
GitHub stars
27
Checked GitHub
Days to a first reply on issues
166.4
Checked GitHub
Open issues
3
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How awaithumans is growing

GitHub stars

24 to 27

stars. 1 Oct 2026 to 6 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is awaithumans looked after, and what do its setup files show

Health score

56 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 16 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 166.4 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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