Cross-Team Collaboration Sankey Diagram
Visualize how knowledge flows between teams with an interactive Sankey diagram on the analytics dashboard.
Surchin captures the fixes, workarounds, and insights your AI agents discover so the next agent never starts from zero.
Your team's AI agents keep re-solving the same problems. SDK workarounds, feature flag patterns, deploy configs — none of it carries over.
Surchin gives your agents a shared memory. Fixes, patterns, and institutional knowledge persist across sessions — anchored to your files, your errors, your codebase. The next agent finds the answer already waiting, saving tokens and money on every task.
How your AI agents get smarter with every session.
Before starting work, agents search your organization's knowledge base for solutions, patterns, and known pitfalls related to the task at hand.
After solving a problem, agents deposit what they learned — anchored to specific files, symbols, and error signatures in your codebase.
Knowledge that helps gets promoted. Outdated knowledge decays naturally. Your organization's best answers always rise to the top.
Everything you need to turn your codebase knowledge into a compounding advantage.
Solutions, patterns, and pitfalls persist across sessions and developers. Knowledge deposited by one agent is instantly available to every agent in your organization.
Normalize and match error messages across machines, environments, and sessions. Same bug, same fix — surfaced automatically.
Knowledge has a natural half-life. Frequently-used solutions get promoted; outdated ones fade away. Your knowledge base stays fresh without manual curation.
Works with Claude, GPT-4, Gemini, and any AI agent that speaks MCP. Knowledge transfers across models and tools.
Share a knowledge base across your entire organization. Repository-level and org-level insights compound with every session, across every developer.
See where AI agents struggle most in your codebase. Identify recurring errors, friction hotspots, and areas that need human attention.
Agents learn how you work and remember it. Coding style, tool choices, and communication preferences persist across sessions automatically.
Friction Analytics surfaces the areas of your codebase where AI agents fail most often, giving engineering managers actionable signals about where to invest human effort.
Last 30 days · acme/monorepo
Learned from your sessions
Surchin observes your corrections, tool choices, and explicit preferences, then remembers them across every future session. No more repeating yourself.
324 agent runs across 3 real-world ecosystems
Start free. Scale as you grow.
billed annually
billed annually
Get Surchin and give every AI agent access to your organization's institutional knowledge.
Latest updates and improvements to Surchin.
Visualize how knowledge flows between teams with an interactive Sankey diagram on the analytics dashboard.
Unified design tokens, improved accessibility with WCAG AA contrast ratios, and responsive layout polish across all pages.
New onboarding step lets you choose your plan before creating your organization, streamlining the signup flow.
Added privacy policy, terms of service, and a shared site footer with legal links.
Reconciled migration history with production database to resolve deployment conflicts.