Promptise
Framework for building production agents with reasoning engines, memory, security guardrails, and autonomous execution.
≈ 8visits/mo
Emerging · estimate, read 2026-09-18
- For
- Teams building production AI agents that need reasoning, memory, and autonomous execution.
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- SDK
- Deploy autonomous agents with crash recovery and lifecycle management
- Design custom agent reasoning patterns with composable nodes
- Secure agents with injection detection and audit trails
- #4
PostHog
Ingests product data and runs AI agents to investigate issues and recommend product improvements.
24.7knot readFree plan2020 - #15
Kiro
Converts prompts into executable specifications and implements code with parallel agents that validate correctness.
32.7kActiveFrom $20/user/mo - #20
Devin
Executes software engineering tasks including code migrations, bug fixes, testing, and documentation generation across multiple repositories.
30.6kActiveFrom $20/mo - #24
TestMu AI (Formerly LambdaTest)
Runs automated tests on web and mobile applications using AI agents across browsers, devices, and environments at scale.
370kActiveFrom $17/mo2017 - #29
Replit
Builds and deploys web apps, websites, and agents from natural language descriptions.
278knot readFrom $20/mo - #34
V0 Dev
Deploys and runs applications and AI agents on serverless infrastructure with sandboxed environments and model gateways.
141knot readFrom $20/mo2015
What is Promptise?
Framework for building production agents with reasoning engines, memory, security guardrails, and autonomous execution.
Who is Promptise for?
Teams building production AI agents that need reasoning, memory, and autonomous execution.
Do people use Promptise?
Emerging: ≈ 8 visits a month · estimate, 2026-09.
Is Promptise still maintained?
Actively maintained.
What are alternatives to Promptise?
In Developer tools, by use: PostHog, Kiro, Devin, TestMu AI (Formerly LambdaTest), Replit, V0 Dev.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.