pumaDB
FreemiumLightweight memory API for AI agents – no database needed.
By Tanmay Verma, Founder · Last verified 02 Jul 2026
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Added 6d ago
77/100Safe BetIn short
pumaDB — Lightweight memory API for AI agents – no database needed. Best for Developers building AI agent workflows needing persistent memory, Teams using LLM-based agents (ChatGPT, Claude) for task automation, System integrators creating agent handoff contexts. Free to use.
Is pumaDB actually worth it?
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Editorial Verdict
Best for
Developers building AI agent workflows needing persistent memoryTeams using LLM-based agents (ChatGPT, Claude) for task automationSystem integrators creating agent handoff contextsDevelopers needing lightweight, schema-less JSON storage for agentsPrototypers who want to avoid database setup and management
Not ideal for
Applications requiring relational database features (joins, foreign keys)High-throughput production systems with thousands of concurrent usersUse cases needing large blob storage (video, images) or >25MB totalClient-side browser apps (API keys must not be exposed)Teams needing complex access controls or multi-tenant isolation
Great for quick agent memory prototypes, but its 25 MB total storage and row limits can pinch in production. Worth the free tier for experimentation.
Compare with: pumaDB vs Pinecone, pumaDB vs Spider Cloud, pumaDB vs Olas Network
Last verified: July 2026
What independent users actually report about pumaDB
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
7 mentions across 1 source (Product Hunt).
75% positive25% critical
Recurring strengths
- +Dead simple setup: no database project or schema design needed.
- +MCP and REST APIs make integration with ChatGPT and Claude trivial.
- +Automatic version history for all updates and deletes.
- +Consolidated 'remember' MCP tool with safety metadata.
- +Per-key rate limits prevent runaway agent writes.
Recurring frustrations
- −No automatic memory capture—agents must explicitly save state.
- −Memory inspection and correction tools are unaddressed by builder.
- −Limited community presence outside Product Hunt launch thread.
- −Free tier table/row limits may not suit serious production workloads.
- −No public uptime or reliability guarantees available.
Patterns worth knowing
Simplicity and low friction for adding memory to agents is the core appeal.
Seen on Product Hunt
Users worry about memory correctness, inspection, and expiration capabilities.
Seen on Product Hunt
There's strong desire for automatic memory capture without manual writes.
Seen on Product Hunt
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • No pricing page found; future paid tiers unknown, may remove free features at any time.
Viability Score
77/100
Safe BetHow likely is pumaDB to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- MCP (Model Context Protocol) support for agent clients
- REST API for server-side applications
- Email OAuth authentication for MCP clients
- Bearer token authentication (puma_live_* keys)
- Automatic version history for updates and deletes
- Consolidated remember MCP tool with safety metadata
- Batch operations and upsert endpoints
- Row-level restore from archived versions
- Short-lived shareable links for rows, queries, text
- API key management for multiple environments
- Natural edit with filtered updates via plain language
- Scoped table limits (20 tables, 1,000 rows per table)
- Per-key rate limits (30 writes, 60 reads per minute)
- Viewer links for large text and result sets
- Row-level version history (last 10 versions, 30 days)
About pumaDB
FreemiumIntermediateAPI availableAPI · Plugin · CLI
pumaDB is a hosted JSON database tailored for AI agents, providing persistent memory without the overhead of managing a traditional database. Designed for developers using LLM-based agents like ChatGPT, Claude, and Codex, pumaDB enables agents to store facts, state, notes, settings, scratchpads, and handoff context across sessions. It offers two interfaces: MCP (Model Context Protocol) for agent clients with email OAuth, and a REST API for server-side apps with bearer token authentication. Key features include automatic version history for updates and deletes, scoped table limits (20 tables, 1,000 rows each), per-key rate limits, consolidated remember MCP tool with safety metadata, viewer links for sharing, and batch operations. pumaDB is built for simplicity—no database project setup required. Compared to full database solutions like Supabase or Firebase, pumaDB sacrifices relational features and scale for zero-config agent memory, making it ideal for prototyping and small-scale agent workflows.
Behind the Verdict
pumaDB hits a sweet spot for devs who want agent memory without touching SQL. The MCP integration with ChatGPT and Claude is slick—just add a server URL, auth by email, and your agents can recall facts across sessions. We'd reach for this when building a proof-of-concept or internal tool with a handful of agents. The version history and safety metadata are thoughtful touches for controlled state. Where it bites: the 20-table, 1000-row, 25 MB cap feels tight beyond prototyping. No joins, no complex queries, so don't try to model relational data. For production at scale, you'd need something like Supabase or a custom backend. But for its niche—lightweight agent memory—pumaDB does the job with minimal friction.
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Use Cases
- Log agent reasoning steps and intermediate state into durable tables for debugging.
- Store cross-session user preferences (e.g., communication style, formatting defaults).
- Persist project conventions and architecture notes so agents don't rediscover them.
- Record research clippings with summaries and links for long-running investigations.
- Maintain open task status, blockers, and handoff notes across agent sessions.
- Save reusable markdown skills that agents can load on startup.
Limitations
- pumaDB imposes account limits of 20 tables, 1,000 rows per table, and 25 MB total storage, making it unsuitable for large-scale datasets.
- The API keys are full-access bearer secrets, so they must not be exposed client-side; this requires a backend proxy for browser-based apps.
- Rate limits are per-key but unspecified in the scraped evidence.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Frequently Asked Questions
Tools that pair well with pumaDB
Common stack mates teams adopt alongside pumaDB, with the specific reason each pairing earns its keep.
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