Build serverless agents with models, tools, workflows, memory, and threads
Who should use this?
Small teams building serverless AI applications and Projects needing agents, workflows, RAG, and threads together.
Who should avoid it?
Free-tier projects requiring private Pipes, Teams already standardized on mature orchestration infrastructure
What problem does it solve?
Langbase is a serverless AI developer platform combining model access, agents, tools, durable workflows, RAG memory, conversation threads, parsing, and observability.
Would I recommend it?
Langbase earns a shortlist for lean engineering teams wanting managed, composable agent infrastructure without assembling six services. Prototype on Free, but test a private paid tier before handling proprietary data. Price the complete workflow and preserve an exit path for prompts, documents, thread state, and tool definitions.
Advisor score
Premium review framework
Langbase is a serverless AI developer platform combining model access, agents, tools, durable workflows, RAG memory, conversation threads, parsing, and observability.
Langbase earns a shortlist for lean engineering teams wanting managed, composable agent infrastructure without assembling six services. Prototype on Free, but test a private paid tier before handling proprietary data. Price the complete workflow and preserve an exit path for prompts, documents, thread state, and tool definitions.
Implement one production-shaped support agent in Langbase and the current stack. Use 1,000 requests with long inputs, tool failures, retrieval misses, duplicate events, provider throttling, sensitive text, and workflow retries. Compare accepted answers, p95 latency, recovery, trace completeness, deletion, developer hours, monthly cost, and the time required to export or recreate state elsewhere.
Personal Recommendation
Langbase earns a shortlist for lean engineering teams wanting managed, composable agent infrastructure without assembling six services. Prototype on Free, but test a private paid tier before handling proprietary data. Price the complete workflow and preserve an exit path for prompts, documents, thread state, and tool definitions.
Try the recommendation
Broad composable backend in one service
Overall Score
Editorial Review Framework
Who should use this?
Small teams building serverless AI applications, Projects needing agents, workflows, RAG, and threads together, TypeScript developers avoiding infrastructure assembly.
Who should avoid it?
Free-tier projects requiring private Pipes, Teams already standardized on mature orchestration infrastructure
What problem does it solve?
Langbase is a serverless AI developer platform combining model access, agents, tools, durable workflows, RAG memory, conversation threads, parsing, and observability.
Would I recommend it?
Langbase earns a shortlist for lean engineering teams wanting managed, composable agent infrastructure without assembling six services. Prototype on Free, but test a private paid tier before handling proprietary data. Price the complete workflow and preserve an exit path for prompts, documents, thread state, and tool definitions.
Overall Score
8.2
Ease of Use
7.8
AI Quality
8.0
Features
8.6
Speed
8.0
Integrations
8.2
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Broad composable backend in one service
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Small teams building serverless AI applications; Projects needing agents, workflows, RAG, and threads together; TypeScript developers avoiding infrastructure assembly
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Langbase lists Free at $0 with 500 credits, 500 agent runs, five public Pipes, and 5 MB of memory; Individual at $100 monthly; Growth at $250 monthly; and Custom by quote. Included private Pipes, memory, files, seats, retention, and credits vary. Model-provider charges or customer API keys can create a separate bill. Reviewed September 12, 2026.
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.3/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: OpenAI, Anthropic, Google, TypeScript, Tools, Webhooks
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Paid entry jumps to $100 monthly; Credits and runs require workload modeling; Consolidation creates switching work
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Evaluation
Research-based
Price posture
From $0/month
Reviewed
2026-09-12
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Langbase lists Free at $0 with 500 credits, 500 agent runs, five public Pipes, and 5 MB of memory; Individual at $100 monthly; Growth at $250 monthly; and Custom by quote. Included private Pipes, memory, files, seats, retention, and credits vary. Model-provider charges or customer API keys can create a separate bill. Reviewed September 12, 2026.
Free plan: Yes. Free currently includes 500 credits and 500 agent runs, with tight memory and private-project limits.
Editorial freshness
Pricing and material product claims were checked September 12, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Langbase is a serverless platform for building AI agents with model access, tools, workflows, memory, threads, parsing, and observability.
Yes. Free includes 500 credits and 500 agent runs, but private Pipes and larger memory allowances require a paid plan.
Current listed plans are $0 Free, $100 monthly Individual, $250 monthly Growth, and custom Enterprise, excluding applicable model costs.
Not necessarily. Workloads can involve Langbase platform usage plus model-provider costs or customer-supplied model API keys.
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