Overview
pumaDB is a lightweight, serverless memory store designed specifically for AI agents. It allows agents to save and retrieve notes, preferences, project context, and other JSON records across sessions without setting up a database or vector store. It connects via MCP (Model Context Protocol) for agent clients like ChatGPT and Claude, or via REST API for server-side apps.
Osloq is an automated bug reproduction tool for GitHub issues. It connects to your repository, spins up an isolated sandbox, runs the code, and attempts to reproduce bugs. It returns a detailed report with logs, screenshots, and the exact code path, saving developers the time of manual reproduction.
Feature Comparison
| Feature | pumaDB | Osloq |
|---|---|---|
| Core Purpose | Durable memory for AI agents | Automated bug reproduction |
| Target Users | AI agent developers, workflow builders | Software developers, engineering teams |
| Setup Complexity | Minimal — connect via MCP or REST | Minimal — connect GitHub repo |
| Integration | MCP (ChatGPT, Claude, Codex), REST API | GitHub App (read-only) |
| Data Storage | JSON rows (20 tables, 1,000 rows each, 25 MB) | Ephemeral sandboxes; reports stored in account |
| Output | Stored memory records | Evidence-backed bug reports |
| Safety & Privacy | Rate limits, version history, server-side keys | Ephemeral sandboxes, no code storage |
| Pricing | Free tier with limits; paid plans likely | Free (5 investigations/mo), Pro ($29/mo), Team ($99/mo) |
Pricing
pumaDB does not publicly list its pricing. The website mentions account limits (20 tables, 1,000 rows per table, 25 MB total storage) and rate limits (30 writes/min, 60 reads/min per key), suggesting a free tier exists. Higher limits likely require a paid subscription, but details are not provided on the page.
Osloq has a clear pricing structure:
- Free: $0/month — 5 investigations/month, public & private repos, full evidence timeline.
- Pro: $29/month — 50 investigations/month, 3 concurrent investigations, priority queue, email support.
- Team: $99/month — 60 investigations/seat, 3 seats included, shared repos, role-based access, priority support.
Pros and Cons
pumaDB
Pros:
- Extremely easy to set up — no database or vector store needed.
- Designed specifically for AI agent memory, with natural language edits and version history.
- Works with popular AI platforms via MCP (ChatGPT, Claude, Codex).
- Lightweight and focused — ideal for small to medium agent workflows.
Cons:
- Limited storage capacity (25 MB total, 1,000 rows per table) may not suit large-scale applications.
- No explicit pricing page — potential users may need to contact sales for higher tiers.
- Requires server-side API keys for REST usage; not suitable for client-side apps.
Osloq
Pros:
- Automates the tedious bug reproduction step, saving developers significant time.
- Provides evidence-backed reports (logs, screenshots, code paths) rather than guesses.
- Supports multiple languages (JavaScript, TypeScript, Python, Go) and integrates via GitHub.
- Ephemeral sandboxes ensure source code privacy and security.
Cons:
- Limited to bug reproduction and investigation — not a general-purpose tool.
- Monthly investigation quotas may be restrictive for high-volume teams.
- Currently supports only a subset of languages (JavaScript, TypeScript, Python, Go).
Verdict
pumaDB and Osloq serve entirely different purposes. Choose pumaDB if you need a simple, durable memory layer for AI agents to persist context across sessions without infrastructure overhead. Choose Osloq if you are a developer looking to automate bug reproduction and get evidence-backed reports from GitHub issues. Both excel in their niches but are not direct competitors.
Osloq
pumaDB