Pensieve
Pensieve is a hosted AI knowledge-base service, described as a self-maintaining context layer for company AI. Once connected to workplace tools such as Slack, Notion, Google Drive, GitHub, and HubSpot, it continuously ingests and organizes scattered information into a navigable tree of pages representing products, customers, engineering, go-to-market, operations, and other business areas. This distilled company map is kept current automatically, with every claim cited to an underlying source. Pensieve does not replace AI assistants. Instead, it plugs into assistants including Claude, Cursor, ChatGPT, and Codex through the Model Context Protocol (MCP). An agent first reads the company map to orient itself, then queries live systems only when needed, reducing repeated searching and unnecessarily broad tool access. The platform positions itself as solving wasted effort and token spend: rather than agents relearning company structure every session, they retain access to a maintained picture of the business. Homepage benchmark material reports roughly 28% fewer tokens per session, 46% fewer searches, and 32% fewer tool calls on a public 4,161-file benchmark, while maintaining answer quality. Pensieve is aimed at teams that want more accurate AI interactions without manual tagging, data preparation, or custom engineering. After connecting sources and AI tools, the service handles ongoing extraction, update, page merging, and trust/grounding metrics. Pricing is not published on the homepage.
- Category
- AI Knowledge Base
- Pricing
- Unknown
Problem solved
AI agents typically lack a persistent understanding of a company; each session they search raw tools, pay for every document, and may act on outdated or wrong context, then discard what they learned. Pensieve solves this by building and maintaining a continuously updated, cited knowledge layer that agents can read through MCP, so they start every session with a grounded map of the business and use fewer tokens, searches, and tool calls.
Use cases
- Give Claude, Cursor, or ChatGPT an employee-level understanding of company context before answering
- Reduce AI token consumption and latency by replacing repeated raw document searches with a distilled context map
- Keep citations and source grounding for AI-generated answers from Slack, Notion, Drive, GitHub, and HubSpot
- Maintain a living company brain that reorganizes itself when new projects, clients, or decisions appear
- Connect internal MCP-based agents to a consistent business knowledge layer
- Automate manual knowledge-base upkeep for customer, product, engineering, and go-to-market teams
Audience
- Developers
- Product Managers
- Enterprise
- Startups
Pros
- Builds a company knowledge layer automatically from connected tools
- Self-maintaining: updates pages as source documents change
- Plugs into major AI assistants via MCP
- Reduces token usage, searches, and tool calls according to the vendor benchmark
- Every item cited to original source
Cons
- Pricing is not publicly listed
- No self-hosted option evident; it is a proprietary cloud SaaS
- Requires third-party integrations to provide full value
- Vendor benchmark claims may vary in real deployments
Official website: https://pensieve.uk/
Canonical LambdaBase page: https://www.lambdabase.com/tools/pensieve