---
title: "jarvis-registry vs manifest"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ascending-llc-jarvis-registry-vs-mnfst-manifest"
tools: ["ascending-llc-jarvis-registry", "mnfst-manifest"]
---

# jarvis-registry vs manifest

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick jarvis-registry if jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability; pick manifest if manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking.

[jarvis-registry](https://jarvisregistry.com) reports 3.0k GitHub stars, 441 forks, and 0 open issues, last pushed Sep 18, 2026. [manifest](https://manifest.build) has 7.5k stars, 508 forks, and 110 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [jarvis-registry's repository](https://github.com/ascending-llc/jarvis-registry) and [manifest's repository](https://github.com/mnfst/manifest).

| | [jarvis-registry](/tools/ascending-llc-jarvis-registry.md) | [manifest](/tools/mnfst-manifest.md) |
| --- | --- | --- |
| Tagline | Connect AI agents to enterprise tools through a secure gateway with identity and access control. | Connect Your Agents And Harnesses With Any Provider |
| Stars | 2,985 | 7,514 |
| Forks | 441 | 508 |
| Open issues | 0 | 110 |
| Language | Python | TypeScript |
| Adopt for | jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability. | Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [jarvis-registry](/tools/ascending-llc-jarvis-registry.md) | [manifest](/tools/mnfst-manifest.md) |
| --- | --- | --- |
| Open issues (now) | 0 | 110 |
| Stars delta | +179 (30d) | +100 (30d) |
| Open issues delta | -4 (30d) | +1 (30d) |
| Full report | [trust report](/tools/ascending-llc-jarvis-registry/trust.md) | [trust report](/tools/mnfst-manifest/trust.md) |

## Decision facts: jarvis-registry

- **Adopt for:** jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability.

## Decision facts: manifest

- **Adopt for:** Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking.

## Choose when

### Choose jarvis-registry if…

- jarvis-registry is primarily Python; manifest is TypeScript.
- License: jarvis-registry is Apache-2.0, manifest is MIT.
- Tags unique to jarvis-registry: agent-gateway, agent-orchestration, aws-eks, cloud-native-deployment.
- jarvis-registry ships Docker support for self-hosted deployment.
- When needing secure integration of AI agents into various enterprise applications

### Choose manifest if…

- manifest is primarily TypeScript; jarvis-registry is Python.
- License: manifest is MIT, jarvis-registry is Apache-2.0.
- Tags unique to manifest: ai-agents, llm-observability.
- When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems.

## When NOT to use jarvis-registry

- If no cloud service deployment is available or intended
- When a more customizable self-hosted option without predefined identity or access control structures suffices
- In scenarios where integrated observability features are not needed or preferred separately

## When NOT to use manifest

- If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work.
- When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features.

## Common questions

### What is the difference between jarvis-registry and manifest?

jarvis-registry: Connect AI agents to enterprise tools through a secure gateway with identity and access control.. manifest: Connect Your Agents And Harnesses With Any Provider. See the comparison table for live GitHub stats and shared categories.

### When should I choose jarvis-registry over manifest?

Choose jarvis-registry over manifest when jarvis-registry is primarily Python; manifest is TypeScript; License: jarvis-registry is Apache-2.0, manifest is MIT; Tags unique to jarvis-registry: agent-gateway, agent-orchestration, aws-eks, cloud-native-deployment; jarvis-registry ships Docker support for self-hosted deployment; When needing secure integration of AI agents into various enterprise applications.

### When should I choose manifest over jarvis-registry?

Choose manifest over jarvis-registry when manifest is primarily TypeScript; jarvis-registry is Python; License: manifest is MIT, jarvis-registry is Apache-2.0; Tags unique to manifest: ai-agents, llm-observability; When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems.

### When should I avoid jarvis-registry?

If no cloud service deployment is available or intended When a more customizable self-hosted option without predefined identity or access control structures suffices In scenarios where integrated observability features are not needed or preferred separately

### When should I avoid manifest?

If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features.

### Is jarvis-registry or manifest more popular on GitHub?

manifest has more GitHub stars (7,514 vs 2,985). Stars measure visibility, not whether either tool fits your constraints.

### Are jarvis-registry and manifest open source?

Yes - both are open-source projects on GitHub (jarvis-registry: Apache-2.0, manifest: MIT).

### Where can I find alternatives to jarvis-registry or manifest?

GraphCanon lists graph-backed alternatives at [jarvis-registry alternatives](/tools/ascending-llc-jarvis-registry/alternatives) and [manifest alternatives](/tools/mnfst-manifest/alternatives) ([jarvis-registry markdown twin](/tools/ascending-llc-jarvis-registry/alternatives.md), [manifest markdown twin](/tools/mnfst-manifest/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/ascending-llc-jarvis-registry-vs-mnfst-manifest.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, jarvis-registry or manifest?

jarvis-registry: Very active. manifest: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for jarvis-registry and manifest?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jarvis-registry trust report](/tools/ascending-llc-jarvis-registry/trust); [manifest trust report](/tools/mnfst-manifest/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ascending-llc-jarvis-registry`](/api/graphcanon/graph?tool=ascending-llc-jarvis-registry)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
