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Cogniscape captures everything that happens across your development workflow and stores it in a searchable knowledge graph. No manual notes. No context switching. Just ask your AI assistant what happened, why something changed, or what’s in progress — and get a grounded answer.

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Four ingestion points

Cogniscape automatically captures activity from the places where development actually happens:

Claude Code

Sessions, plans, tasks, token usage, and session summaries — captured via hooks on the developer’s machine.

Cursor

Sessions and conversation summaries — captured via Cursor hooks, automatically detected during installation.

GitHub

Pushes, pull requests, and code reviews — captured via repository webhooks.

Linear

Issues, comments, projects, and project updates — captured via workspace webhooks.
All streams feed into the same knowledge graph, so you can ask questions that span AI activity, code changes, and project management in a single query.

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How it works

Claude Code hooks       Cursor hooks           GitHub webhooks         Linear webhooks
  │                       │                        │                        │
  ├── SessionStart        ├── sessionStart         ├── push                 ├── Issue created/updated
  ├── ExitPlanMode        ├── stop                 ├── pull_request         ├── Comment
  ├── TaskCreate          └── sessionEnd           └── pull_request_review  ├── Project
  ├── TaskUpdate                                                            └── ProjectUpdate
  └── Stop
  │                       │
  ▼                       ▼
cogniscape CLI (local enrichment: git identity, transcript, session summary)
  │
  └──────────────────────────────────────────────────────────┐
                                                             ▼
                                               Cogniscape API → Redis Queue
                                                             │
                                                             ▼
                                               Event Worker → Knowledge Graph (Neo4j)
                                                             │
                                                             ▼
                                               Cogniscape MCP → AI assistants

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Query from any MCP-enabled tool

Once events are in the graph, you retrieve context through the Cogniscape MCP — available in any tool that supports the Model Context Protocol, including Claude Code, Claude Desktop, OpenAI Codex, and others. Ask things like:
  • “What did the team deliver this week? Summarize completed issues, merged PRs, and any blockers.”
  • “What is our average cycle time from opening an issue to merging the PR? Which items are taking the longest, and why?”
  • “Is the team on track to finish the current sprint? Which issues haven’t had any activity in the last 3 days?”
  • “How much of our engineering effort is going to new features versus bug fixes versus infrastructure? Has that changed compared to last month?”
  • “How much of our codebase is being built with AI assistance? What is the concrete return on that investment?”
  • “How efficient is our code review process? How many PRs required rework, and what are the most common reasons?”

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Get started

Quick Setup

Install the CLI and start capturing Claude Code and Cursor activity automatically.

CLI Reference

Full reference for all cogniscape commands and flags.

GitHub Integration

Set up a webhook to capture pushes, PRs, and code reviews.

Linear Integration

Set up a webhook to capture issues, comments, and project updates.

Cogniscape MCP

Query the knowledge graph from Claude Code, Claude Desktop, or any MCP client.