Your AI Agent Forgets Everything
Give your AI coding agent persistent memory of your team's decisions, conventions, and active work across every platform.
Project: api-gateway (Sprint 14)
Active: 3 in-progress issues, 2 PRs awaiting review
Recent: Auth refactor decision (Slack #eng, 2d ago)
1. Use custom exception classes inheriting from AppError
2. Always include error codes (from errors.py enum)
3. Log at the boundary, not inside utility functions
Sources: GitHub PR #189, Slack #backend (Jan 15), Notion/Engineering Wiki
The Problem with AI Coding Agents
They can write code, but they don't know your team.
Zero
Team context
Your AI agent doesn't know your team's coding conventions, architecture decisions, or active sprint items.
Every session
Repeated explanations
You re-explain the same context to your AI agent at the start of every session. Project structure, conventions, decisions.
Stale
Knowledge
Your agent can't know about yesterday's Slack thread that changed the auth approach, or the sprint reprioritization.
6 Tools Your Agent Can Use
Exposed via the Model Context Protocol. Your AI agent calls these automatically when it needs team context.
Search Knowledge
search_knowledge
Semantic search across all connected platforms. Ask about architecture decisions, past discussions, or any topic.
"authentication architecture decisions"
Project Context
get_project_context
Comprehensive project overview with active sprint items, recent decisions, team members, and connected platforms.
Auto-injected at session start
Recent Activity
get_recent_activity
Cross-platform activity feed. See what happened in the last hour, day, or week across all tools.
"time_range: 24h"
Code Context
get_code_context
Code-specific knowledge: PR feedback patterns, review comments, coding conventions, and architectural decisions.
"error handling patterns in api/"
Team Expertise
get_team_expertise
Find who knows what. Discover team members with expertise based on commits, issues, and discussions.
"payment system"
Search Issues
search_issues
Query Jira, Linear, and GitHub Issues with filters for status, priority, and assignee.
"status: In Progress, priority: P0"
Setup in 3 Minutes
Connect your tools, generate a key, install the plugin. That's it.
Connect Your Tools
One-click OAuth to Slack, GitHub, Notion, Jira, Linear. Saathy begins indexing your team's knowledge.
Generate an API Key
Create a project-scoped API key from your dashboard. Scope it to a project for focused context.
Install the Plugin
Copy the plugin to your Claude Code directory or run /saathy:setup. One command, done.
Code with Context
Every session starts with project context. Ask questions naturally. Your agent knows your team.
{
"mcpServers": {
"saathy": {
"url": "https://api.saathy.in/mcp",
"transport": "http",
"headers": {
"Authorization": "Bearer sk_saathy_..."
}
}
}
}Standard MCP configuration. Works with any MCP-compatible agent.
Your Team's Knowledge, Unified
Saathy indexes knowledge from all your platforms and makes it available to your AI coding agent.
Data Sources
Slack
LiveDiscussions, decisions, Q&A
GitHub
LivePRs, reviews, commits, issues
Notion
LiveDocs, wikis, meeting notes
Jira
LiveIssues, sprints, epics
Linear
LiveIssues, projects, cycles
Meetings
LiveTranscripts, decisions, actions
Supported Agents
Claude Code
More agents coming
Enterprise-Grade Security
- ✓Tenant-isolated data — your data is never mixed with others
- ✓API keys hashed with SHA-256, scoped per project
- ✓Rate limiting (30 req/min) with full audit logging
- ✓Standard MCP protocol — no proprietary lock-in
Get Started with Saathy
Join teams who are already working smarter. Enter your details to get early access.
Have questions? Contact us