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AI agents that compound your team's execution

Flockfly turns repeated work into managed agent capabilities: agent definitions, skills, validation signals, and deployment targets that improve with every session.

Harness-agnostic agent configs
Managed tool integrations
Session feedback that compounds
Governed updates and approvals
Flockfly
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Agent library

Start with a proven agent

PR Review Copilot

Used by 48 teams

Incident Triage Assistant

Used by 76 teams

Customer Support Responder

Used by 63 teams

Sales Researcher

Used by 55 teams

Selected agent

Incident Triage Assistant

Proven setup
InvestigateSummarizeCreate handoffDraft update

Tools

PagerDuty MCPJira MCPSlack MCPGitHub CLI

Bootstrap this agent

1Choose your environmentMy workspace
2Connect tools4 of 4 ready
3Bootstrap configStarter generated
Install starter setup

AI Adoption Ladder

Take your company's AI adoption to the next level

Flockfly treats every agent as an evolving product surface. Each level is useful on its own and creates the operational primitive needed for the next.

L1 Chat

SK

Sarah K

10:15 AM

@Flockfly AI I've got a new feature idea. I want to create a data analysis visualization for the performance dashboard that shows time to first token by customer segment. Can you help me do this?

FockflyAI

10:17 AM

Absolutely, Sarah! I don't have integration to create a Github CR, but I've attached the code files changes necessary in the TokenTelemetry package.

zip

zip attachment

Code changes attachment

SK

Sarah K

12:45 PM

Wait. I've reviewed the code, but I don't see it pulling all customer segment definitions. Make sure to use all the segment definitions are used. Also, I noticed that you didn't follow our style guide for constant usage, can you make sure to use the STYLE.md guide and run linting.

FockflyAI

1:01 PM

I apologize for the misunderstanding. I've applied all customer segment definitions using the constants. I also ran linting succesfully. Here are the code files changes.

zip

zip attachment

Code changes attachment

Aviary Agent

Agent primitives built once and shared everywhere

Agents are built and shared in a collaborative environment. Define an Aviary Agent once, then compile it into the agent harnesses your teams actually use.

Architecture

A harbor for agents, tools, and customer-owned runtime

Flockfly keeps the API clean while letting each customer operate through their own endpoint, storage boundary, and execution environment.

Service map

Clean API surface, explicit runtime boundary

Flock App / CLI

Agent setup, MCP integrations, sessions, and operator workflows.

Aviary

Source models for agent configs, skills, tools, prompts, and compile targets.

Murmur

Durable record of sessions, artifacts, tool calls, feedback, and outcomes.

Harbor

Integration hub for MCP servers, tools, and third-party systems.

Stratus

Managed runtime layer for secure agent execution in the right environment.

Built for tenant-specific operations

Organizations can receive their own service endpoint and store agent state in their own infrastructure while Flockfly remains the abstraction layer.

No org fields in the public API contract
Tenant routing belongs to endpoint and infrastructure boundaries
Permissions can evolve as a separate policy layer

Build the agent layer your teams can trust

Your organization understands things no competitor can replicate. Flockfly makes that understanding deeper, reusable, and easier to operate.

Start building with Flockfly

Create your account, set up your team, and make your organization's best practices available to your coding agents.

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