Promptary
Summary
When you run a fleet of autonomous agents, the prompt living in each agent's code is a liability — any change means touching every deployment. Gildara is a prompt management layer that lets agents fetch their instructions at runtime instead of baking them in.
The core workflow is a prompt registry: you define structured prompts with schemas, agents pull them over the network at execution time, and you update once rather than redeploy everywhere. Output validation and repair is built into the loop, so malformed agent responses get a correction pass before they propagate. The MCP server integration means Claude, Cursor, and other MCP-compatible clients can connect to your prompt store directly. Where this breaks is the absence of a self-hosted option — every prompt contract and schema lives on Gildara's infrastructure, which is a hard stop for teams with data residency requirements. Those teams typically move toward self-managed registries or bake schema validation into their own API layer.
Bottom line: Pick this when you are coordinating a fleet of agents that all share prompt logic and want one place to update it — skip it when your security policy requires prompts and schemas to stay inside your own perimeter.
Pricing Plans
SubscriptionLast verified 1 week ago- Price
- $0/mo
- Free Tier
- 10 prompts (read + write + run), 20 API calls/day, 5 AI runs/day, 2 operating contracts, 32 blueprint templates
Free
Free tier with limited features
- 10 prompts (read + write + run)
- 20 API calls/day
- 5 AI runs/day
- 2 operating contracts
- 32 blueprint templates
- Agent self-provisioning
Builder
Builder plan with expanded capabilities
- 100 prompts
- 1,000 API calls/day
- 50 AI runs/day with auto-repair
- 10 operating contracts
- 3 fleet agents
- Telegram bot (full)
Pro
Most popular plan with unlimited features
- Unlimited prompts
- 10,000 API calls/day
- 500 AI runs/day with auto-repair
- Unlimited contracts + fleet
- Prompt sharing
- Conversation analyzer
Scale
Enterprise plan with advanced team features
- Everything in Pro
- 100,000 API calls/day
- 5,000 AI runs/day
- Team workspaces (25 members)
- Shared prompt library
- Priority support
View full pricing on gildara.io →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Runtime prompt fetching over API means updating a prompt once in the registry propagates to every agent on the next execution cycle, so you avoid the versioning drift that comes from managing prompts inside individual codebases.
- Structured prompt schemas give agents and your validation layer a shared contract, which means malformed outputs can be caught and repaired in-loop rather than silently corrupting the next step in your pipeline.
- MCP server support lets Claude, Cursor, and other MCP-compatible clients draw from the same prompt registry as your custom agents, so you stop maintaining separate prompt sources for IDE tooling versus deployed agents.
- A single subscription covering unlimited agents means cost scales with your team's usage tier, not with the number of agents you spin up — which removes the pricing incentive to share prompts sloppily across agents that should have distinct contracts.
Cons
Sign in to edit- No self-hosted option and no open-source codebase means every prompt contract, schema, and agent instruction lives on Gildara's infrastructure. Teams with data residency requirements, SOC 2 audit trails, or policies against third-party prompt storage hit this wall before they finish evaluation — at which point they build a self-managed registry or adopt a tool that ships a self-hosted tier.
- The scraped page content returned no substantive documentation or community evidence, which means there is precious little public signal on how the output repair loop behaves under edge cases, what happens when the MCP server is unreachable mid-agent-run, or what rate limits apply to runtime prompt fetches at scale. Teams that need to validate reliability before production commitment will find no community forum posts or open issue trackers to pressure-test claims against.
- The validator context confirms no self-host or repo exists, so teams that hit reliability or compliance limits have no path to fork or migrate their prompt contracts out of the platform — vendor lock-in on the registry layer is structural, not incidental.
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About
- Platforms
- REST API, MCP Server, Telegram, Chrome Extension
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-25T18:18:20.281Z
Best For
Who it's for
- Developers building autonomous AI agent systems
- Users needing structured prompt contracts with schemas
- Integrations with Claude, Cursor, and MCP-compatible tools
What it does well
- Storing and sharing structured prompts across AI agent fleets
- Enabling runtime prompt fetching for autonomous agents
- Managing output validation and repair for agent responses
- Connecting agents to tools via MCP server
- One-subscription access for multiple agents
Integrations
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Frequently Asked Questions
- Is Promptary free?
- Promptary has a permanent free tier alongside paid upgrades (paid plans from $0/mo). You can keep using a baseline version indefinitely without paying.
- Is Promptary open source?
- No — Promptary is a closed-source tool. Source code is not publicly available.
- Does Promptary have an API?
- Yes. Promptary exposes a developer API. See the official documentation at https://gildara.io for details.
- What platforms does Promptary support?
- Promptary is available on: REST API, MCP Server, Telegram, Chrome Extension.
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Curated lists that include this category
Agent fleets break down quietly: one agent gets a prompt update, another doesn’t, outputs diverge, and you’re chasing down which deployment is running which version. Gildara addresses this by acting as a central prompt registry. Agents fetch their instructions at runtime via the API rather than reading from embedded strings, so every agent in a fleet is always pointing at the same source of truth. The vendor describes this as ‘structured prompt contracts with schemas,’ meaning each prompt has a defined shape that agents and validation logic can both reference.
The differentiating mechanic is runtime output validation and repair. Rather than letting a malformed response from an agent surface to the next step in a pipeline, Gildara’s loop can attempt a correction pass. This closes a gap that most prompt-storage tools ignore entirely — they store prompts but don’t close the loop on what comes back out.
The MCP server integration is the most concrete integration detail the vendor surfaces: Claude, Cursor, and any MCP-compatible tool can connect directly, which means the same prompt registry that governs your custom agents can govern your IDE and chat tooling from a single subscription. That ‘one subscription, unlimited agents’ framing suggests the pricing model is designed for teams managing scale rather than single-agent experiments.
The tool is cloud-only with no self-hosted option and is not open-source. Teams that need to inspect the runtime, audit data flows, or keep prompt content off third-party infrastructure will face a structural wall here — there is no workaround within the product boundary.