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Your Agent's Integration Layer
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85
review score
Problem solved
Corsair solves the trust and security gap in agentic workflows: agents can autonomously perform tasks across multiple services, but destructive actions (e.g., sending emails) require human approval. Unlike direct API access, Corsair keeps credentials hidden from the agent and enforces per-endpoint permissions, preventing accidental or malicious misuse.
Deployment reality
The available setup signal starts with: Install via npm: `npm install corsair` then configure with plugins like `createCorsair({ plugins: [slack(), github()] })`.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is NOASSERTION. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build agents that autonomously read, write, and manage data across integrated apps (e.g., email, file storage, code repositories) with configurable safety levels. Real-world use cases include automated customer support that drafts replies but requires approval before sending, or DevOps agents that deploy code after review. The ceiling includes multi-tenant production systems with isolated credentials and webhook handling for event-driven workflows.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
corsairdev/corsair is tracked as a TypeScript project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 8.9k total stars, with +683 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 12 days ago, and the open issue queue is 112, about 1.26% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 261 forks and 8.9k watchers suggest how often the project is reused or followed. License signal: NOASSERTION. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 683. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
LimitedLicense is unknown and should be checked before commercial use.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
8.9k Stars
Reuse
261 Forks
Attention
8.9k Watchers
Maintenance
active
License
NOASSERTION
Open issues
112
Corsair is a unified integration layer for AI agents that provides safe, permission-controlled access to external apps and services. It acts as a middleware between agents and APIs, managing credentials and enforcing granular permissions.
Key Features
- Granular permission modes (open, cautious, strict, readonly) with per-endpoint overrides - Multi-tenancy support with isolated credentials, data, and permissions per tenant - Typed, signature-verified webhook handlers with a single endpoint
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
Install via npm: `npm install corsair` then configure with plugins like `createCorsair({ plugins: [slack(), github()] })`.73
Health Score
Active
Commit Activity
Oct 14, 2025
Created
Aug 11, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
corsairdev
GitHub profileobra/superpowers
An agentic skills framework & software development methodology that works.
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The agent that grows with you
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Skills for Real Engineers. Straight from my .agents directory.
anomalyco/opencode
The open source coding agent.
✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
Corsair solves the trust and security gap in agentic workflows: agents can autonomously perform tasks across multiple services, but destructive actions (e.g., sending emails) require human approval. Unlike direct API access, Corsair keeps credentials hidden from the agent and enforces per-endpoint permissions, preventing accidental or malicious misuse.
Capabilities
Developers can build agents that autonomously read, write, and manage data across integrated apps (e.g., email, file storage, code repositories) with configurable safety levels. Real-world use cases include automated customer support that drafts replies but requires approval before sending, or DevOps agents that deploy code after review. The ceiling includes multi-tenant production systems with isolated credentials and webhook handling for event-driven workflows.
Bottom Line
Corsair is ideal for developers building production-grade AI agents that need safe, auditable access to multiple SaaS tools. It is less suited for simple, single-service automations where overhead of permission layers is unnecessary. The key trade-off is increased security and control versus added complexity in setup and approval workflows.