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Calljmp vs Orbi
Calljmp offers managed AI agents as code, lacking the GitHub-native issue-to-release loop Orbi provides.
Which to pick
Pick Calljmp if you want…
- Code-native AI agent backend
- Integrations with GraphQL, gRPC or Databases (on Calljmp's list, not Orbi's)
Pick Orbi if you want…
- AI-driven issue-to-release automation
- Open-source code (orbi-build/orbi on GitHub, AGPL-3.0 license)
- Integrations with GitHub, Python or Docker (on Orbi's list, not Calljmp's)
Side by side
- What it is
- Calljmp:Calljmp provides a TypeScript-native, managed backend for building, deploying and scaling AI agents and workflows.
- Orbi:Orbi is an open-source autonomous AI agent that turns GitHub Issues into reviewed pull requests and tagged releases.
- Best for
- Calljmp:Code-native AI agent backend
- Orbi:AI-driven issue-to-release automation
- Who it’s for
- Calljmp:SaaS product teams, technical founders, and developer agencies building AI features.
- Orbi:Teams that want AI-driven end-to-end issue delivery without leaving code in a third-party service.
- Pricing
- Calljmp:Freemium
- Orbi:Freemium
- Plans
- Calljmp:Solo $20 per month · Pro $99 per month
- Orbi:Free $0 · Solo US$24 per month (yearly US$290) · Pro US$66 per month (yearly US$790) · Self-hosted $0
- Open source
- Calljmp:—
- Orbi:Yes, 195 GitHub stars
- Works with
- Calljmp:GraphQL, gRPC, Databases
- Orbi:GitHub, Python, Docker, systemd/launchd
Calljmp features
- TypeScript-native agents. Write agents and workflows directly in TypeScript with full type safety.
- Managed execution & scaling. Calljmp handles agent runtime, state, retries, timeouts and HITL without infrastructure.
- Observability dashboard. Unified traces, logs, metrics and cost tracking for all agents.
- Zero-config integrations. Connect to REST/GraphQL/gRPC APIs, databases and services as tools without setup.
- Human-in-the-loop. Add approval flows and manual reviews into any agent workflow.
- Memory & knowledge store. Persistent context and vector/hybrid search for documents, APIs and datasets.
Orbi features
- Issue-to-release pipeline. Labels an Issue as ai-ready, writes code in an isolated worktree, reviews, merges and tags a release.
- Independent review session. A second AI session reviews the PR, can fix failures and re-runs tests before merge.
- GitHub-native state. All state lives in GitHub (issues, PRs, labels, run_id), no external DB or daemon.
- Self-hosted or cloud. Run the open-source core on your own machine or use Orbi Cloud with managed runners.
- Bring-your-own model. Supports any OpenAI-compatible API or locally hosted model for code generation.
- Automatic recovery. If a run crashes, the next timer tick resumes from the same GitHub record.
- Token-based cloud pricing. Cloud plans include monthly token allowances; no overage billing.
- CLI & Docker install. Install via uv tool or Docker image; requires Python 3.14, git, gh, systemd.
Calljmp vs Orbi FAQ
Is Calljmp or Orbi free?+
Calljmp has a free plan; paid plans start at $20/month (Solo). Orbi has a free plan and paid plans.
Is Calljmp or Orbi open source?+
Orbi is open source (orbi-build/orbi on GitHub, AGPL-3.0 license). DevHunt has no public source repository on record for Calljmp.
Do Calljmp and Orbi integrate with the same tools?+
Their integration lists don't overlap: Calljmp lists GraphQL, gRPC and Databases; Orbi lists GitHub, Python, Docker and systemd/launchd.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.