Overview
pumaDB and HarnessRouter solve different but complementary problems in the AI agent ecosystem. pumaDB provides durable memory for agents – a simple place to store notes, preferences, and context without setting up a database. HarnessRouter is an agent execution backend that lets you run powerful coding agents (Codex, Claude Code, Hermes) in your product via a single API, handling sandboxing, orchestration, and artifact generation.
Both products remove infrastructure burdens, but they target distinct layers of the agent stack: memory vs. runtime.
Feature Comparison
| Feature | pumaDB | HarnessRouter |
|---|---|---|
| Core Purpose | Lightweight memory for agents across sessions | Backend that runs AI agents and returns finished work |
| Memory & Storage | JSON records with version history, rollback, natural language edits | No built-in persistent memory; relies on agent context or external tools |
| Integration | Hosted MCP endpoint (for agents) + REST API (for servers) | Single REST API – drop in instructions, get artifacts out |
| Supported Agents | Any MCP-compatible client (Claude, ChatGPT, Codex, etc.) | Codex, Claude Code, Hermes (Pi soon) – run inside managed harness |
| Security | OAuth for MCP, API keys for REST, rate limits, versioning | Full execution tracing, granular permissions, sandboxed runs |
| Output | JSON memory rows | Code diffs, files, videos, images, documents, command confirmations |
| Pricing | Free tier with limits (20 tables, 1,000 rows each, 25 MB) | 7-day trial, then monthly plans with credits |
Pricing
pumaDB offers a generous free tier: up to 20 tables, 1,000 rows per table, and 25 MB of total storage. This suits individual developers, small teams, and prototyping. No credit card is needed. Higher limits may be available by request, but as of now no paid plans are advertised.
HarnessRouter provides a 7-day free trial to explore the platform. After that, you choose a monthly plan: Developer, Production, or Scale. Plans include a credit bundle for production runs, and additional usage is drawn from a top-up balance with configurable budgets and hard caps. Pricing is usage-based beyond the included credits.
Pros and Cons
pumaDB Pros
- Zero database setup – just add the MCP server or call the REST API.
- Built-in version history – every change keeps the last 10 versions for 30 days; one-click restore.
- Natural language memory management – agents can cleanly update memory without duplicates.
- Typed schemas – organizes memory by type (preferences, task state, research clippings, etc.).
pumaDB Cons
- Storage limits – 25 MB and 1,000 rows per table may be tight for larger projects.
- No agent execution – purely a memory layer; you still need an agent runtime elsewhere.
- Separate API keys – MCP and REST use different authentication methods.
HarnessRouter Pros
- All-in-one backend – replaces months of work: sandboxes, orchestration, retries, streaming, file storage.
- Multi-agent ready – switch between Codex, Claude Code, or Hermes with one config change.
- Rich artifact output – get finished code, videos, images, and documents directly.
- Full traceability – step-by-step execution timeline for debugging and user visibility.
HarnessRouter Cons
- Cost – free trial is only 7 days; ongoing costs depend on usage.
- Vendor lock-in risk – though harness swaps are easy, the platform is still managed externally.
- No built-in persistent memory – context between separate runs is not automatically saved.
Verdict
Choose pumaDB if your primary need is giving agents reliable, long-term memory without operational overhead – perfect for enriching agent context across sessions, teams, or tools. Choose HarnessRouter if you need to quickly add agent-driven features (code generation, media creation, automated tasks) into your application and want to skip the backend build. The two products are not mutually exclusive; many teams could use HarnessRouter for execution and pumaDB for memory, getting the best of both worlds: agent power plus durable recall.