PromptMatrix
Agenta.ai
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Humanloop
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LangSmith
Hugging Face
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PromptMatrix is an open-source prompt CI/CD pipeline and sub-5ms runtime governance control plane for AI agent swarms and LLM applications.
Stop hardcoding system instructions into config files or application repositories. PromptMatrix decouples prompt behavioral specifications from code executionโallowing product teams and engineers to version, evaluate, approve, and hot-patch prompts without ever triggering a 20-minute application redeployment.
โข โฑ๏ธ Zero-Downtime Hot Swaps: Update LLM instructions in real time with sub-5ms edge cache delivery. No Docker builds or container restarts.
โข โช Immutable Version Control: Git-like version history with line-by-line diff views and 1-click instant rollbacks.
โข โ๏ธ Automated Quality Gates: Built-in zero-dependency rule-based evaluations (<5ms offline) and LLM-as-a-judge scoring before merging to production.
โข ๐ฅ Team Governance: Non-engineers edit prompts visually; engineers review diffs and approve in 10 seconds.
โข ๐ก๏ธ Enterprise Security: Zero-trust BYOK architecture with AES-256-GCM encrypted evaluation keys and SHA-256 hashed API keys.
โข ๐ Universal Runtime Serve: Clean GET /pm/serve/{key} endpoint with dynamic {{variable}} interpolation.
๐ Flexible Deployment
โข Local-First (Community Edition): Runs locally on SQLite with zero external dependencies (MIT-licensed). โข Self-Hosted: Connects directly to your own PostgreSQL database. โข Managed Cloud: Scalable multi-tenant cloud control plane with automated eval gating and Slack bot integrations.
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PromptMatrix's answer
Python, FastAPI, SQLAlchemy, Alembic, SQLite, PostgreSQL, Redis, PyJWT, Cryptography (AES-256-GCM), JavaScript, and Docker.
PromptMatrix's answer
AI engineers, software development teams, and product managers building LLM applications, copilots, and multi-agent swarms who want to eliminate the 20-minute deployment cycle for prompt changes, prevent prompt drift, and give non-technical stakeholders a safe, governed environment to edit and evaluate prompts without breaking production.
PromptMatrix's answer
PromptMatrix is a dedicated prompt CI/CD pipeline and runtime governance control plane purpose-built for AI agent swarms and LLM applications. It decouples prompt behavioral specifications from code execution, enabling teams to evaluate, approve, and hot-patch prompts in sub-5ms via edge caches without ever redeploying their application code. It offers built-in rule-based and LLM-as-a-judge quality gates, full Git-like versioning, and runs 100% local-first with zero external dependencies.
PromptMatrix's answer
Unlike basic prompt CMS tools or complex cloud-locked observability suites, PromptMatrix provides: 1. Sub-5ms Runtime Serving: Hot-patch agent instructions in real time with zero application downtime. 2. True Local-First Freedom: Runs locally on SQLite (MIT licensed) with zero external database requirements. 3. Automated CI/CD Eval Gates: Blocks prompt regressions before they merge using both offline rule-based scoring and LLM-as-a-judge tests. 4. Seamless Multi-Agent Integration: Works natively with LangGraph, CrewAI, AutoGen, OpenClaw, and raw LLM APIs. 5. Zero-Trust Security: BYOK ephemeral evaluation execution and AES-256-GCM encrypted keys.
PromptMatrix's answer
PromptMatrix was built out of necessity while running a 22-agent multi-agent swarm in production. Every time an agent's persona, briefing, or tool schema needed a minor wording tweak, an engineer had to hunt hardcoded strings across config files, open a pull request, wait for CI/CD builds, and restart the entire system. Recognizing that prompts are runtime behavioral specifications that require their own versioned control plane, the founder architected PromptMatrix to bridge product iteration with engineering reliability.
PromptMatrix's answer
Based on our record, Humanloop seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Humanloop | London and San Francisco | Full time in person | https://humanloop.com Humanloop is building infrastructure for AI application development. We're the LLM Evals Platform for Enterprises. Duolingo, Gusto, and Vanta use Humanloop to evaluate, monitor, and improve their AI systems. ROLES:. - Source: Hacker News / over 1 year ago
- https://humanloop.com/) for teaching me the philosophy of implementing a copilot textarea. I wish I could have used the project directly, but integrating just one React component into Rails while keeping importmap and StimulusJS was quite challenging. Given the limited time, I decided to move on with StimulusJS. This is our first time building an open-source project to share with the world, and weโre a bit... - Source: Hacker News / about 2 years ago
- Conversational simulation is an emerging idea building on top of model-graded evalโ - AI Startup Founder Things to consider when comparing options: โTypes of metrics supported (only NLP metrics, model-graded evals, or both), level of customizability; supports component eval (i.e. Single prompts) or pipeline evals (i.e. Testing the entire pipeline, all the way from retrieval to post-processing)โ โ+method of... - Source: Hacker News / almost 3 years ago
Humanloop (YC S20) | London (or remote) | https://humanloop.com We're looking for exceptional engineers that can work at varying levels of the stack (frontend, backend, infra), who are customer obsessed and thoughtful about product (we think you have to be -- our customers are "living in the future" and we're building what's needed). Our stack is primarily Typescript, Python, GPT-3. Please apply at... - Source: Hacker News / over 3 years ago
https://humanloop.com/ Find the prompts users love and fine-tune custom models for higher performance at lower cost. - Source: Hacker News / over 3 years ago
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