Alternatives
Products that do what Baldur does
Circuit breaker and retry for Python, with an ops console
- 1AP
2021 · github.com
- 2RA
OP here. I built RepoReaper to solve code context fragmentation in RAG. Unlike standard chat-with-repo tools, it simulates a senior engineer's workflow: it parses Python AST for logic-aware chunking, uses a ReAct loop to JIT-fetch missing file dependencies from GitHub, and employs hybrid search (BM25+Vector). It also generates Mermaid diagrams for architecture visualization. The backend is fully async and persists state via ChromaDB. Link: https://github.com/tzzp1224/RepoReaper
Jan 2026 · github.com
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Local AI agent guardrails, budgets, & circuit breakers.
Jun 2026 · stackmint.ai
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- 5PS
We've all written and rewritten code that catches exceptions and then retries to do the same procedure again. Here's a python library to help you eliminate this code from your business logic, keeping your code cleaner and your fingers more energetic.
2013 · github.com
- 6
I've long used nohup for background processes that I want to run independently of the terminal. These types of jobs are usually long-running, sometimes launched over an SSH connection, and often have dependencies on other jobs. I built Jobman to combine the simplicity of nohup with features I previously wrote one-off shell scripts for, including: - retries - timeouts - dependencies between jobs - email or webhook notifications on completion or failure - separate stdout and stderr logging with a combined observed-order view Jobman does this with a small per-job supervisor process; there's no…
29d ago · github.com
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- 9HA
Hey HN. I'm an engineering student at Waterloo building stateful AI agents, and I kept hitting the same wall: whenever my Python scripts crashed or dropped a connection, the underlying Puppeteer or Ollama processes would just sit there orphaned, eating RAM until the node OOM-killed itself. Standard load balancers break sticky sessions, and passive HTTP timeouts are too slow for cleanup. I couldn't find a good local process pool that actually cleaned up dead stateful sessions reliably, so I built Herd in Go. It uses a persistent stream (gRPC/Unix sockets) strictly as a dead-man's switch.…
Mar 2026
- 10IG
As a beginner learning to build ML models, I found it annoying to have to keep printing tensor shapes every other line, having to step through the debugger to check where did I mess up the shapes again. So I built Trickle, it takes the data that flows through your code, caches the types and display them inline (as if you have type annotations). The idea is: "Let types trickle from runtime into your IDE". You get types in Python without having the write them manually. It works by rewriting your Python AST at import time — after every variable assignment, it inserts a lightweight call that…
Mar 2026 · github.com
- 11LD
Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
2025 · github.com
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- 13GA
Hey folks, wanted to show this off and get feedback. Still early/experimental but there are quite a few concepts I'm excited about here. This project came about while writing a program in Go and loving its approach to concurrency. Being a long-time Rubyist I immediately started to think about what similar concepts might look like in Ruby. I set out with two main design constraints: 1. Lightweight: I didn't want routines to be backed by fibers or threads. Having been involved some in the async project (https://github.com/socketry/async), I had some experience using…
2023 · github.com
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Know when your automations break - before your clients do
Jun 2026 · flowguard-production-4ea5.up.railway.app
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Added an OTDR trace component as the latest in my component library for datacentre/network apps. Mainly for my own use in rackout.
21d ago · react-networks-lib.rackout.net
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fast Python sandbox execution for your AI Agents
Jul 2026 · mojojojo.app.nz
- 19
Contribute to cjchanh/aaap-challenge development by creating an account on GitHub.
19d ago · github.com
- 20DP
Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…
2025 · github.com
- 21PI
People seem to be blindly hooking up their OpenClaw’s to their personal data. So, I built runtime controls to prevent at the least, very simple prompt injection attacks. Once installed, it hooks to Node.js child_process module in the gateway process and listens to tool calls and their response streams. And a fetch hook to monitor user prompts (both could’ve been through fetch, happy to discuss why this whole layer couldn’t just be a proxy). There are two layers of protection: First: Whenever there is a read-only tool call whose response an attacker can modify, we extract that part of the…
Feb 2026 · github.com
- 22SA
Hi HN, we’re Jessie and Eric. We’ve been baking away at Cakework (https://www.cakework.com/), which is a way to build async backends without needing to manage cloud infrastructure. Cakework is for operations that take time or more compute, like file processing, report generation, or machine learning. Devs write backends as Python functions and deploy them with our CLI. They use our client SDKs to make requests, get status, and get processing results. Each request runs with its own CPU and memory parameters in its own microVM, with no timeouts. Devs can query for failures and…
2023 · cakework.com
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AI-powered webhook tunnels inspect, explain and replay in RT
Jul 2026 · pipehero.app
- 24RA
I've been building Rivers for the past 7 months, an asset-based orchestrator. The core components such as planning, scheduling etc are in Rust and the user facing API is in Python. My most recent release adds OIDC and forward auth support. Security shouldn't be paywalled :)
Jul 2026 · github.com
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