Intelligence from the Ground Up

Your organization already knows everything. It just can't remember.

Fungal is an organizational knowledge network that captures how your team actually works and makes it available to every human and AI agent.

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Knowledge doesn't stick. It leaks.

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Knowledge dies in chat

Your best solutions are buried in Slack threads that nobody will read in a week. The moment the conversation moves on, the insight disappears.

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Knowledge walks out the door

When a senior engineer leaves, they take years of context with them. No handoff doc can capture what they learned through osmosis.

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Knowledge rots in wikis

Your Confluence pages are from 2023. Your README is a lie. Everyone knows it, nobody fixes it — because the payoff isn't immediate.

Knowledge capture that requires zero behavior change.

Employees don't write docs. They don't update wikis. Fungal captures passively from the Slack threads, commits, and decisions already happening.

Knowledge survives turnover

Every hard-won solution, every tribal workaround, every "only Sarah knows how this works" — crystallized into skills that outlast any single employee.

New hires ramp faster

Instead of tapping ten people on the shoulder, a new hire queries Fungal and gets your org's accumulated know-how in seconds — from day one.

AI agents that know your org

Coding agents, support bots, design tools — they all pull from the same organizational knowledge base. They follow your skills, not generic training data.

For the individual

Stop explaining the same thing

If you've answered it three times, it's a skill now. The skill answers for you. You stay in flow.

Your expertise is credited

Every skill has an author. When your solution becomes an organizational asset, you're recognized as the expert.

Not another knowledge tool

Passive capture

Passive capture. No new habits.

Every other knowledge tool requires someone to sit down and write something. Fungal captures from the work you're already doing. No form to fill. No page to update.

Skills that improve themselves

Skills that improve themselves

No other knowledge system gets better when it's used. Fungal tracks every skill application — success, failure, modifications — and feeds that back automatically. The more you use it, the sharper it gets.

AI Agent

Built for AI agents, not just humans

Fungal wasn't built as a wiki with a chatbot bolted on. It was built for AI agents first. Any MCP-compatible agent — Cursor, Claude Code, Hermes, your own custom bots — can search, retrieve, and use your org's skills natively.

Organizational layer, not personal

Personal AI remembers what you did. Fungal remembers what everyone did — connecting patterns across teams, projects, and customers.

Crystallization engine

Raw Slack threads and GitHub PRs transformed into structured, version-controlled skills. Not summarization — extraction.

Three memory layers

Episodic (what happened), Semantic (how things relate), Procedural (how to do things). No other tool models all three.

Open skill format

SKILL.md — Markdown with YAML frontmatter. Compatible with agentskills.io. No vendor lock-in. Exportable. Portable.

The thinking behind Fungal

01

Wikis fail because they require behavior change

Nobody wants to write documentation after solving a hard problem. Knowledge capture should be passive — it should happen automatically from the work people are already doing.

02

Skills should update themselves

Organizations change constantly. A skill written six months ago might reference deprecated tools, old processes, or people who left. Skills need a built-in improvement loop.

03

The real customer is the AI agent

We're entering an era where coding agents, design agents, and support bots do real work. These agents need organizational context — not generic training data, but your organization's way of doing things.

04

Three types of memory, not one

Episodic (what happened), Semantic (how things relate), Procedural (how to do things). Most tools only capture one. Fungal captures all three.

The Three Memory Layers

Episodic Raw conversations, commits, decisions — the record of what happened
Semantic Relationships — who worked on what, which customer uses which stack
Procedural Version-controlled step-by-step skills — how your org actually does things

The Fungal Loop

STEP 1 Connect Fungal listens to Slack, GitHub, Jira, Google Workspace — passively.
STEP 2 Detect Patterns emerge: recurring questions, resolved threads, merged PRs.
STEP 3 Crystallize AI drafts a clean skill. A human reviews and approves.
STEP 4 Distribute Skills become available to any AI agent via MCP protocol.
STEP 5 Improve Every use sends feedback. Skills that don't work get flagged.

Executable knowledge, version-controlled

Example Skill

How to deploy to staging

Specific to your infrastructure, your CI pipeline, your approval process — not generic docs.

Example Skill

How to onboard a new designer

Your design system conventions, your Figma setup, your review process — all the unspoken norms.

Example Skill

Debug React Native on M1 Macs

Learned from a real Slack thread where your team solved it — now it's institutional knowledge.

# SKILL.md — Example structure
name: "Debug React Native on M1 Macs"
version: "1.2.0"
trigger: "react native m1 performance"
steps:
  - Run "cd ios && pod install" with Rosetta
  - Add "RCT_NEW_ARCH_ENABLED=0" to .env
  - Clear Metro cache: "npx react-native start --reset-cache"

Compatible with the open agentskills.io standard. Works with Claude Code, Cursor, and any MCP-compatible tool.

Interested? Let's talk.

This is a builder sharing what they're working on. If this resonates with you — you're the kind of person we want to hear from.

No product to buy yet. No waitlist. Just a conversation.