# Falconer > Shared memory for teams and agents. The best way to write, share, and find information in one self-updating company brain. Falconer is an AI-powered company brain that serves as the source of truth for high-speed teams. It helps teams write, share, and find information in one self-updating company brain with built-in AI agents that keep documentation accurate and up to date. Every page listed here is served as Markdown at the linked .md URL, and the HTML URL returns the same Markdown when a request sends Accept: text/markdown. ## For AI agents Everything Falconer can do for a user is available through its hosted remote MCP server, so connect there rather than driving the web app. - MCP endpoint: https://falconer.com/api/mcp (streamable HTTP, OAuth with dynamic client registration; server card at https://falconer.com/.well-known/mcp/server-card.json) - New users create their account during the OAuth step, which also provisions their first workspace; finish setup with read_settings and edit_settings (org scope for the workspace name; account scope for the plan, credit packs and auto-reload). Buying credits or subscribing returns a Stripe-hosted checkout URL to hand to the user; ask before turning on auto-reload, and never collect payment details in chat. - Pricing: https://falconer.com/pricing.md (JSON: https://falconer.com/pricing.json) - MCP setup per client: https://falconer.com/mcp.md - Sign up in a browser: https://falconer.com/auth/signin - Pages that end in .md are also served when a request sends Accept: text/markdown to the HTML URL. ## Documentation - [Product documentation](https://falconer.com/docs/llms.txt): index of the Falconer product docs, each page also served as Markdown - [Complete product overview](https://falconer.com/llms-full.txt): plans, pricing, security, integrations, benchmarks and FAQ in one file ## Product - [Falconer: The source of truth for high-speed teams](https://falconer.com/index.md): Falconer is an AI-powered company brain that keeps your engineering documentation accurate, searchable, and up to date by syncing with... - [Falconer MCP | Connect your knowledge base to any AI agent](https://falconer.com/mcp.md): Give Claude Code, Cursor, Codex, and any MCP client read and write access to your Falconer knowledge base over a hosted remote MCP server. - [Request a demo](https://falconer.com/demo.md): Request a personalized Falconer demo. - [Falconer for Slack | Turn conversations into documentation](https://falconer.com/slack.md): Use Falconer in Slack to answer questions, summarize threads, and draft docs from channel conversations. - [Pricing](https://falconer.com/pricing.md): Falconer pricing: Go with 2,000 free starting credits and no subscription, Pro with 4,000 credits per purchased seat each month... - [Support](https://falconer.com/support.md): Get help with Falconer. - [Falconer for SV Angel | Startup Program](https://falconer.com/startups.md): Falconer is designed from the ground up for startups. - [Security](https://falconer.com/security.md): Learn how Falconer keeps your data secure with enterprise-grade security, SOC 2 Type II certification, and flexible deployment options. - [Use cases](https://falconer.com/use-cases.md): From docs that update themselves to answers grounded in your codebase - explore how engineering, product, sales, and support teams use... - [Falconer benchmarks | Head-to-head against Notion, Atlassian Rovo, Claude Code, and Codex](https://falconer.com/benchmarks.md): How Falconer compares on real customer-support and engineering questions: 200 questions across two corpora, scored head-to-head by three... - [Deployments](https://falconer.com/deployments.md): Unlock all of Falconer from the hosting option that fits your compliance line or security goals: multi-tenant SaaS, managed single tenant,... ## Guides - [Guides](https://falconer.com/guides.md): Deep dives on knowledge management, AI agents, and technical writing. - [How to turn repeated Zendesk tickets into help center articles grounded in product code](https://falconer.com/guides/zendesk-tickets-to-help-center-articles.md): Ticket frequency tells you customers lack an answer, not why. - [How to create an incident postmortem from Slack, GitHub, and Linear](https://falconer.com/guides/incident-postmortem.md): Reconstruct a defensible timeline from the systems that already recorded the incident: Slack, GitHub, Linear, and monitoring. - [How to share project context between Cursor and Claude Code with MCP](https://falconer.com/guides/share-context-cursor-claude-code.md): Keep tool-specific behavior in each editor and put architecture, decisions, ownership, and runbooks in one shared layer both agents query... - [How to stop AI coding agents from re-reading the same repository files](https://falconer.com/guides/stop-agents-re-reading-code.md): Agents stop repeating repository exploration when verified conclusions live outside the session. - [Best way to track in-flight vs settled decisions](https://falconer.com/guides/in-flight-vs-settled-decisions.md): Fast-moving teams make dozens of decisions a week, and almost none carry a status. - [When should you build a company brain vs. buy one?](https://falconer.com/guides/build-vs-buy-company-brain.md): The prototype is the cheap part. - [How long does it take to migrate off Confluence Data Center?](https://falconer.com/guides/confluence-data-center-migration-timeline.md): A manual Confluence Data Center migration runs weeks once you add content review, permissions, macros, broken links, and rollout, and the... - [Confluence Data Center end of life: dates, what it means, and your options (2026)](https://falconer.com/guides/confluence-data-center-end-of-life.md): Atlassian stops selling Confluence Data Center on March 30, 2026 and expires every subscription on March 28, 2029, when instances become... - [How to migrate off Confluence Data Center: a step-by-step guide (2026)](https://falconer.com/guides/migrate-off-confluence-data-center.md): Confluence Data Center goes read-only on March 28, 2029, and most migrations fail by lifting ten years of stale pages into a new tool. - [Self-hosted Confluence alternatives for on-prem deployments (2026)](https://falconer.com/guides/self-hosted-confluence-alternatives.md): On-prem teams need a Confluence replacement that runs behind their own firewall, not another cloud SaaS. - [Open weights and sovereign AI: applying Jensen Huang's letter to your org (July 2026)](https://falconer.com/guides/open-weights-sovereign-ai.md): Jensen Huang used his first-ever post on X to share 'Open Weights and American AI Leadership,' the July 24, 2026 open-weights letter. - [Kimi K2 vs Kimi K3 (July 2026)](https://falconer.com/guides/kimi-k2-vs-k3.md): Kimi K3 is Moonshot AI's 2.8T-parameter flagship with a 1M-token window, native video, and frontier agentic coding; K2 is the 2025... - [Is Kimi K3 available yet, and should you switch? (July 2026)](https://falconer.com/guides/kimi-k3-available.md): Yes - Kimi K3 has been live on Moonshot AI's API since July 16, 2026, with open weights for self-hosting due July 27. - [Faster alternatives to Notion](https://falconer.com/guides/faster-notion-alternatives.md): If Notion feels slow, the fix depends on which slowness you mean: editor load time, search, or staleness. - [How to build a trust boundary for enterprise AI: a guide to Nadella's reverse information paradox](https://falconer.com/guides/trust-boundary-enterprise-ai.md): A trust boundary is the perimeter around how your company learns: its data, traces, evals, and memory. - [Why is Notion so slow?](https://falconer.com/guides/why-is-notion-slow.md): Notion is slow for four reasons, and only one is your internet: block bloat, database recomputation, deep page trees, and cloud round-trips. - [What is the reverse information paradox? Owning your context in the AI era](https://falconer.com/guides/reverse-information-paradox.md): The reverse information paradox, coined by Satya Nadella: to get value from an AI model you feed it your proprietary knowledge, and the... - [Claude Sonnet 5 vs Gemini 3.5 Pro (July 2026)](https://falconer.com/guides/claude-sonnet-5-vs-gemini-3-5-pro.md): Claude Sonnet 5 and Gemini 3.5 Pro are the two models developers cite most for accurate docs. - [Grok 4.5 vs GPT-5.6 vs Claude Sonnet 5 vs Gemini 3.5 Pro (July 2026)](https://falconer.com/guides/frontier-models-documentation.md): Four frontier models shipped in three weeks. - [How much does GPT-5.6 cost? Sol, Terra, and Luna pricing (July 2026)](https://falconer.com/guides/gpt-5-6-pricing.md): GPT-5.6 ships in three tiers: Sol at $5/$30, Terra at $2.50/$15, and Luna at $1/$6 per million tokens. - [GPT-5.6 vs GPT-5.5: is the newer model worth switching to? (July 2026)](https://falconer.com/guides/gpt-5-6-vs-gpt-5-5.md): GPT-5.6 comes in three tiers (Sol $5/$30, Terra $2.50/$15, Luna $1/$6); GPT-5.5 matches Sol at $5/$30. - [How to use AI to keep documentation in sync with code](https://falconer.com/guides/ai-keep-documentation-sync-code.md): Documentation goes stale because updating it is a manual step that loses to shipping. - [Platforms that auto-generate company documentation from your work](https://falconer.com/guides/auto-generate-company-documentation.md): A new category of tools generates and maintains documentation directly from the work your team already does — merged PRs, Slack threads,... - [How to write a self-review, changelog, or meeting prep with AI](https://falconer.com/guides/ai-self-review-changelog.md): Self-reviews, changelogs, and meeting briefs are retrieval problems, not writing problems. - [How regulated teams run AI knowledge search without giving up data sovereignty](https://falconer.com/guides/air-gapped-ai-knowledge-search.md): For teams in defense, government, finance, or healthcare, most AI knowledge tools fail the first compliance review because they ship... - [The best documentation and AI assistant for Mattermost teams](https://falconer.com/guides/mattermost-ai-assistant.md): For Mattermost teams in security-first stacks, most AI knowledge tools fail the data-residency test before features even enter the... - [How to connect Mattermost to your company knowledge base](https://falconer.com/guides/mattermost-knowledge-base.md): A step-by-step guide to connecting Mattermost to a self-hosted company knowledge base, so your team gets cited answers from real docs and... - [An on-prem company brain for self-hosted Mattermost deployments](https://falconer.com/guides/on-prem-company-brain.md): A company brain that runs in your own cloud account and answers questions in Mattermost from your real docs and code. - [The best markdown editor for developer workflows](https://falconer.com/guides/markdown-editor-developers.md): Most markdown editors force a trade-off: a fast local editor nobody else can see, or a heavier doc platform that fights your workflow. - [Agent loops are burning your token budget. Here's the fix.](https://falconer.com/guides/agent-loops-token-budget.md): Agent loops burn tokens because the first retrieval misses. - [What are agent loops?](https://falconer.com/guides/agent-loops.md): An agent loop is the cycle an AI agent runs through to complete a task: think, act, observe, repeat. - [8 best Confluence alternatives for developer knowledge management](https://falconer.com/guides/confluence-alternatives-developers.md): Confluence wasn't built for code-first documentation, and the maintenance burden compounds as teams scale. - [Context engineering vs prompt engineering: why your agents need company knowledge](https://falconer.com/guides/context-engineering-prompt-engineering.md): Prompt engineering controls how you ask the question; context engineering controls what your agent knows before the question gets asked. - [What is the best self-hosted Notion alternative for engineering teams?](https://falconer.com/guides/self-hosted-notion-alternatives.md): For engineering teams replacing Notion, this guide covers Falconer alongside the four legacy self-hosted alternatives — AFFiNE, AppFlowy,... - [Best knowledge management tools with Slack integration for engineers](https://falconer.com/guides/slack-knowledge-management.md): Engineering teams live in Slack — but most knowledge tools either search outdated docs or push notifications without keeping content... - [Technical documentation: A complete guide for engineering teams](https://falconer.com/guides/technical-documentation.md): A complete guide to technical documentation for engineering teams — what it is, the categories every team needs (product, process, user... - [How to give Claude Code context: CLAUDE.md, skills, MCP, and keeping it current](https://falconer.com/guides/claude-code-context.md): Claude Code's official docs cover installation and configuration but leave the harder problem to you: feeding the agent accurate context... - [How to consolidate documentation into one source of truth for engineering teams](https://falconer.com/guides/consolidate-documentation.md): Most documentation consolidation projects stall because the new tool stops being accurate within a few months. - [Best IDE-integrated knowledge bases for engineering teams June 2026](https://falconer.com/guides/ide-knowledge-bases.md): Engineers lose roughly 23 minutes of focus every time they break out of the editor to hunt for documentation. - [Best developer onboarding tools (June 2026)](https://falconer.com/guides/developer-onboarding-tools.md): A comparison of the best developer onboarding tools in June 2026, ranked on automated documentation maintenance, codebase integration,... - [Tokenmaxxing vs. token efficiency: what changes when agents share a knowledge layer (May 2026)](https://falconer.com/guides/tokenmaxxing-token-efficiency.md): Tokenmaxxing — treating raw AI token consumption as a productivity metric — collapsed at Meta in April 2026 after engineers gamed the... - [Documentation tools that AI coding assistants can actually use (May 2026)](https://falconer.com/guides/ai-coding-assistant-documentation.md): AI coding assistants like Cursor and Claude Code are only as good as the documentation they can retrieve. - [Documentation platforms for AI coding assistants in defense tech startups (May 2026)](https://falconer.com/guides/defense-tech-documentation-platforms.md): Defense tech engineering teams need documentation platforms that match commercial-startup velocity while meeting data residency, access... - [Documentation tools for AI coding assistants at Fintech startups: SOC 2 and banking partner requirements (May 2026)](https://falconer.com/guides/fintech-documentation-platforms.md): Fintech engineering teams at Series A and B carry a compliance load that looks like a Series D company's. - [Documentation tools for AI coding assistants in health tech startups: HIPAA-ready options (May 2026)](https://falconer.com/guides/healthtech-documentation-platforms.md): Health tech engineering teams need AI coding assistants and HIPAA compliance to work together. - [What docs platform works with MCP and coding agents (May 2026)](https://falconer.com/guides/mcp-documentation-platforms.md): The Model Context Protocol decides whether your documentation is reachable by AI coding agents or stuck behind a chat box. - [How to use AI for documentation: a practical guide for engineering leaders (May 2026)](https://falconer.com/guides/ai-documentation-generation-maintenance.md): AI doc tools split into two camps: generation (writes faster) and maintenance (keeps docs accurate over time). - [What is a company knowledge base and why does it break at scale? (May 2026)](https://falconer.com/guides/company-knowledge-base.md): Company knowledge decays within 30-90 days of publication as code ships and systems evolve. - [Falconer MCP](https://falconer.com/guides/falconer-mcp.md): Give Claude Code, Cursor, and any MCP-compatible tool read and write access to your Falconer knowledge base. - [Why your AI agents burn tokens hunting for answers they should already have (May 2026)](https://falconer.com/guides/ai-agent-token-waste.md): An agent spent 80,000 tokens to answer a question that existed in one PR. - [AI FinOps for engineering teams: where token waste actually comes from (May 2026)](https://falconer.com/guides/ai-finops-engineering-teams.md): AI spend spans four sources of token waste: context quality, gateway gaps, observability gaps, and recursive workflows. - [Context retries: the silent token tax on agentic workflows (May 2026)](https://falconer.com/guides/context-retries-token-tax.md): Three compounding effects drive most agent input-token spend: conversation history bloat, tool definition overhead, and retrieval thrash. - [How to build living documentation that actually stays updated](https://falconer.com/guides/living-documentation.md): Documentation dies when code changes and nothing detects the drift. - [Tools that answer questions from Slack using internal docs: May 2026 guide](https://falconer.com/guides/slack-question-answering-tools.md): Engineers spend 30% of their time searching for information, often interrupting teammates in Slack. - [How to capture critical knowledge and build your company brain: 5 steps for May 2026](https://falconer.com/guides/preserve-institutional-knowledge.md): 42% of institutional knowledge exists only in individual heads, and departures are just when it becomes visible. - [How to build a context graph for your organization: a guide for May 2026](https://falconer.com/guides/context-graph-engineering.md): Your team generates context every day through PRs, Slack decisions, and tickets — but nothing connects code to the decisions behind it. - [Docs as code: how to keep documentation in sync with your codebase](https://falconer.com/guides/docs-as-code.md): Docs as code gives you version control for documentation, but most teams stop at tooling without solving drift. - [What are the best knowledge bases for developer workflows in May 2026?](https://falconer.com/guides/knowledge-bases-developer-workflows.md): Developer knowledge is scattered across GitHub, Slack, Linear, and docs nobody updates. - [Top automated documentation tools for engineering teams (May 2026)](https://falconer.com/guides/automated-documentation-tools.md): AI can generate docs in minutes — keeping them accurate after every merged PR is the harder problem. - [Best AI documentation tools for engineering teams (April 2026)](https://falconer.com/guides/ai-documentation-tools.md): AI documentation tools that auto-update when code changes solve the real bottleneck — not search over stale content. - [Best AI-powered knowledge bases for engineering teams (April 2026)](https://falconer.com/guides/ai-knowledge-bases-engineering.md): Your team's knowledge lives in the codebase, Slack threads, and someone's head. - [Best internal knowledge base software for engineering teams: April 2026](https://falconer.com/guides/knowledge-base-software-engineering.md): Engineering docs go stale the moment code ships. - [Best knowledge management tools for startups (April 2026)](https://falconer.com/guides/knowledge-management-tools-startups.md): Startup knowledge decays fast as code evolves and Slack context disappears. - [Best Notion alternatives for engineering teams (April 2026)](https://falconer.com/guides/notion-alternatives.md): Notion requires manual maintenance that can't keep pace with fast-moving codebases. - [How to build a closed loop company](https://falconer.com/guides/closed-loop-company.md): Most companies lose institutional knowledge faster than they can write it down. - [What is a company brain? Why it's engineering's next competitive moat](https://falconer.com/guides/company-brain-competitive-moat.md): AI agents fail not because models are weak, but because they lack organizational context. - [How to build a company brain that connects your entire engineering stack: GitHub, Slack, Linear, and Notion](https://falconer.com/guides/company-brain-engineering-stack.md): A company brain for engineering teams ingests GitHub, Slack, Linear, Notion, and the rest of your stack into a single knowledge graph that... - [The enterprise LLM wiki: scaling Karpathy's pattern to your org (April 2026)](https://falconer.com/guides/enterprise-llm-wiki-karpathy.md): Andrej Karpathy's LLM Wiki pattern works brilliantly for personal knowledge. - [How to build a company brain](https://falconer.com/guides/how-to-build-company-brain.md): A company brain captures, updates, organizes, and monitors everything your organization knows. - [How to build a self-updating company brain (April 2026)](https://falconer.com/guides/self-updating-company-brain.md): A self-updating company brain captures what your organization knows and keeps it accurate as work changes. - [What is a company brain, and why you need one](https://falconer.com/guides/what-is-company-brain.md): Your company knows more than you think — the problem is nobody can find it. - [Context sovereignty: why Atlassian's new data policy is a problem (April 2026)](https://falconer.com/guides/context-sovereignty-atlassian-data-policy.md): Atlassian will train AI models on your Confluence data starting August 17, 2026. - [How to migrate from Confluence and Notion to a single source of truth (April 2026)](https://falconer.com/guides/migrate-notion-confluence.md): Split docs across Notion and Confluence destroy trust and waste hours daily. - [How to replace Confluence without losing existing docs: a migration guide for April 2026](https://falconer.com/guides/replace-confluence-without-losing-docs.md): Migrate off Confluence in hours, not months. - [Falconer vs Notion: which is better in April 2026?](https://falconer.com/guides/falconer-vs-notion.md): Compare Falconer vs Notion in April 2026. - [Falconer vs Confluence: which is better in April 2026?](https://falconer.com/guides/falconer-vs-confluence.md): Compare Falconer vs Confluence in April 2026. - [What is a knowledge layer for engineering teams? A clear guide for April 2026](https://falconer.com/guides/knowledge-layer-engineering-teams.md): Learn what a knowledge layer is for engineering teams in April 2026. - [What tool keeps documentation in sync with code changes: April 2026 guide](https://falconer.com/guides/sync-documentation-code-changes.md): Learn what tool keeps documentation in sync with code changes in April 2026. - [Confluence reviews, pricing, and alternatives (April 2026)](https://falconer.com/guides/confluence-alternatives.md): Confluence requires manual doc updates that go stale fast. - [SharePoint reviews, pricing, and alternatives (April 2026)](https://falconer.com/guides/sharepoint-alternatives.md): SharePoint lacks codebase integration and forces engineers to context-switch away from their IDE. - [Coda reviews, pricing, and alternatives (April 2026)](https://falconer.com/guides/coda-alternatives.md): Read Coda reviews, compare pricing, and find better alternatives for engineering teams in April 2026. - [Falconer vs Glean: which is better in April 2026?](https://falconer.com/guides/falconer-vs-glean.md): Compare Falconer vs Glean in April 2026. - [Glean reviews, pricing, and alternatives (April 2026)](https://falconer.com/guides/glean-alternatives.md): Glean reviews, pricing details, and top alternatives compared. - [Internal knowledge base: complete guide and best practices for April 2026](https://falconer.com/guides/internal-knowledge-base.md): Complete guide to internal knowledge bases with best practices, implementation strategies, and solutions for April 2026. - [What is knowledge management and why does it matter in April 2026](https://falconer.com/guides/knowledge-management-engineering-teams.md): Learn what knowledge management is and why it matters for engineering teams in April 2026. - [How to reduce engineer onboarding time from weeks to days (April 2026)](https://falconer.com/guides/reduce-engineer-onboarding-time.md): New engineers shouldn't spend weeks hunting through Slack, Notion, and GitHub wikis for answers. - [Best technical documentation platforms with codebase integration (April 2026)](https://falconer.com/guides/technical-documentation-codebase-integration.md): Technical documentation platforms with codebase integration auto-sync docs when code changes. - [How to generate release notes and changelogs in 30 seconds](https://falconer.com/guides/generate-release-notes.md): Falconer connects to your GitHub repos and generates changelogs and release notes in plain language. ## Notes - [Notes](https://falconer.com/notes.md): Insights on knowledge management, AI agents, and building better teams. - [Two copies of the truth are one too many](https://falconer.com/notes/two-copies-of-truth.md): Most teams keep docs in two places, Markdown in GitHub and a polished copy in an editor, and both drift. - [On-prem Falconer: own your knowledge](https://falconer.com/notes/on-prem-falconer.md): Put your company's knowledge to work with an AI-native knowledge base that runs in your own cloud account, with the sources and model... - [Root out false information before agents build on it](https://falconer.com/notes/root-out-false-information.md): Wrong information spreads through a company like a poisonous seed. - [Documentation has a new purpose](https://falconer.com/notes/documentation-new-purpose.md): Agents now handle the step-by-step tasks docs used to explain, so documentation has to serve people and agents at once. - [Rolling out the new Falconer knowledge platform](https://falconer.com/notes/falconer-knowledge-platform.md): Falconer gives you and your customers complete, specialized intelligence: an internal knowledge base and external documentation in one... - [Falconer is launching a new usage-based pricing plan](https://falconer.com/notes/usage-based-pricing.md): One shared credit balance for AI features, Knowledge Health, and paid public-docs add-ons gives teams more flexibility and a clearer view... - [Knowledge as code](https://falconer.com/notes/knowledge-as-code.md): Only one breakout AI use case is making a significant impact on knowledge work: coding, because code is versioned, tested, and machine... - [Spaces: focused work, connected knowledge](https://falconer.com/notes/falconer-spaces.md): One knowledge tree gets noisy as a company grows, but separate workspaces create silos. - [Why everything breaks at 150 people](https://falconer.com/notes/cerebras-knowledge-base.md): Cerebras's post on building their internal knowledge base hit 2.5M views. - [Docs-as-code as simple as Google Docs](https://falconer.com/notes/docs-stuck-in-repos.md): Customer guides, onboarding flows, API references: they live in the codebase, where the people who write them can't easily edit. - [Search, rebuilt: how Falconer finds the right answer](https://falconer.com/notes/search-rebuilt.md): Company search is hard: the corpus is too large to browse and too small to learn ranking from. - [Agent loops are fine, retrieval is what you're paying for](https://falconer.com/notes/agent-loops-retrieval-cost.md): Inefficient retrieval is burning your token budget. - [Skill documents: shared team instructions for every AI tool](https://falconer.com/notes/skill-documents.md): Falconer Skill documents let teams create, share, manage, and reuse AI instructions across Falconer and MCP-connected tools like Claude,... - [Stop freeloading off open source](https://falconer.com/notes/stop-freeloading-open-source.md): Most teams quietly work around the rough edges of the open source libraries they depend on. - [How to generate a changelog in 10 seconds](https://falconer.com/notes/generate-changelog.md): Changelogs used to take hours each week to assemble across GitHub, Linear, Slack, and meeting notes. - [Falconer agent now speaks git](https://falconer.com/notes/falconer-agent-now-speaks-git.md): The Falconer agent can now answer questions about your code's history: who wrote what, when, and why. - [Ditching the agent sandbox for AWS S3 Files](https://falconer.com/notes/how-falconer-powers-agents-with-aws-s3-files.md): How we gave the Falconer agent git access (log, blame, diff between arbitrary refs) by mounting a shared NFS filesystem backed by S3 Files... - [How others build agent memory, and what I took from each](https://falconer.com/notes/how-others-build-agent-memory.md): ChatGPT, Claude Code, and Letta have each built production memory systems for AI agents. - [Knowledge Health: observability for your knowledge base](https://falconer.com/notes/knowledge-health.md): Every company runs on written knowledge, and almost none of them know how healthy theirs is. - [Agent Personalization: an agent that knows you](https://falconer.com/notes/agent-personalization.md): Falconer now tailors every response to who you are. - [Your context is more than training data](https://falconer.com/notes/context-more-than-training-data.md): Everyone has access to the same frontier models. - [Falconer Update: Full self-driving docs](https://falconer.com/notes/falconer-update-self-driving-docs.md): Falconer Update keeps your documentation in sync with your codebase automatically. - [Falconer Generate: from repo to doc set in minutes](https://falconer.com/notes/falconer-generate-from-repo-to-doc-set-in-minutes.md): Falconer Generate turns a connected GitHub repo into a structured documentation set, helping teams get documentation started faster. - [The source of truth for high-speed teams](https://falconer.com/notes/launch.md): Our mission is to capture all of your important context, keep it up to date, and make it easy for you to deploy it wherever you want: your... - [Rethinking data ingestion as a DAG](https://falconer.com/notes/rethinking-data-ingestion-dag.md): How we reduced data ingestion time from hours to minutes by reimagining our pipeline as a directed acyclic graph. - [LLM-as-a-Courtroom](https://falconer.com/notes/llm-as-a-courtroom.md): How we built a multi-agent courtroom simulation to decide when code changes require documentation updates—and why the legal system is... ## Changelog - [Changelog](https://falconer.com/changelogs.md): Everything we shipped in Falconer. - [Falconer October 2026 changelog](https://falconer.com/changelogs/october-2026-changelog.md): Public docs hosting with custom domains and AI-ready Markdown, two-way GitHub sync, scheduled Knowledge Health scans, parallel subtasks and... - [Falconer September 2026 changelog](https://falconer.com/changelogs/september-2026-changelog.md): Personal Slack search across channels and DMs, ChatGPT subscriptions and bring-your-own model keys on every plan, Asana and Jira project... - [Falconer August 2026 changelog](https://falconer.com/changelogs/august-2026-changelog.md): Spaces for teams and projects with granular access, a Skills library you can install into local agents like Claude Code, Markdown source... - [Falconer July 2026 changelog](https://falconer.com/changelogs/july-2026-changelog.md): Editable frontmatter and offline-safe editing, Tailwind styling and live HTML embeds in any doc, Knowledge Health triage, curated MCP... - [Falconer June 2026 changelog](https://falconer.com/changelogs/june-2026-changelog.md): API access and the Falconer MCP server come to every plan, plus one-click MCP setup, a redesigned version history and Inbox, dedicated chat... - [Falconer May 2026 changelog](https://falconer.com/changelogs/may-2026-changelog.md): Falconer's May 2026 changelog covers six new editor block types, agent memory upgrades, expanded MCP/API write operations, Slack and... ## Customer stories - [Customer stories](https://falconer.com/customers.md): See how engineering teams use Falconer to keep their knowledge base accurate and searchable. - [How Payabli replaced Confluence with Falconer in two days](https://falconer.com/customers/payabli.md): Payabli's knowledge was scattered across Confluence, Google Drive, and Slack. - [How Vori uses Falconer as a librarian to automate engineering docs](https://falconer.com/customers/vori.md): Vori turned scattered engineering knowledge across Notion, Slack, Linear, and GitHub into high-quality, self-updating docs with Falconer,... ## Authors - [Lilu Xu](https://falconer.com/authors/lilu-xu.md): Lilu Xu is a founding engineer at Falconer. - [Matt Zhao](https://falconer.com/authors/matt-zhao.md): Matt Zhao is a founding engineer at Falconer. - [Dave Nunez](https://falconer.com/authors/dave-nunez.md): Dave Nunez is Co-Founder and CEO of Falconer. - [Quinn Dupies](https://falconer.com/authors/quinn-dupies.md): Quinn Dupies is the first marketing and non-technical hire at Falconer. - [Apoorva Shete](https://falconer.com/authors/apoorva-shete.md): Apoorva Shete is a Product Engineer at Falconer where she focuses on building search infrastructure, data ingestion systems, and... - [Aryaman Agrawal](https://falconer.com/authors/aryaman-agrawal.md): Aryaman is a Founding AI Engineer at Falconer where he focuses on building agents and conducting applied research for improving accuracy. - [Giorgio Garofalo](https://falconer.com/authors/giorgio-garofalo.md): Giorgio Garofalo is a software engineer at Falconer and open source enthusiast. ## About Falconer - [About](https://falconer.com/about.md): Falconer is democratizing your company's knowledge, making it accurate and up-to-date so everyone can work fast and without interruption. - [Write](https://falconer.com/about/write.md): A Markdown editor with a knowledge agent built in. - [Auto-update](https://falconer.com/about/auto-update.md): Switch on auto-update and your docs will update themselves as changes across the codebase impact them. - [Public docs](https://falconer.com/about/public-docs.md): Publish a Falconer Space as a fast, branded docs site with search, an AI assistant, and agent-ready Markdown. - [Integrations](https://falconer.com/about/integrations.md): Connect your tools to Falconer. - [Knowledge Health](https://falconer.com/about/knowledge-health.md): Falconer grades your docs on coherence, coverage, freshness, density, and completeness, surfacing outdated content, gaps, and... - [MCP integration](https://falconer.com/about/integrations/mcp.md): MCP knowledge base integration. - [Jira integration](https://falconer.com/about/integrations/jira.md): Jira knowledge base integration. - [Slab integration](https://falconer.com/about/integrations/slab.md): Slab knowledge base integration. - [Asana integration](https://falconer.com/about/integrations/asana.md): Asana knowledge base integration. - [Codex integration](https://falconer.com/about/integrations/codex.md): Codex knowledge base integration. - [Gmail integration](https://falconer.com/about/integrations/gmail.md): Gmail knowledge base integration. - [Slack integration](https://falconer.com/about/integrations/slack.md): Slack knowledge base integration. - [Claude integration](https://falconer.com/about/integrations/claude.md): Claude knowledge base integration. - [Cursor integration](https://falconer.com/about/integrations/cursor.md): Cursor knowledge base integration. - [GitHub integration](https://falconer.com/about/integrations/github.md): GitHub knowledge base integration. - [Linear integration](https://falconer.com/about/integrations/linear.md): Linear knowledge base integration. - [Notion integration](https://falconer.com/about/integrations/notion.md): Notion knowledge base integration. - [Granola integration](https://falconer.com/about/integrations/granola.md): Granola knowledge base integration. - [Zendesk integration](https://falconer.com/about/integrations/zendesk.md): Zendesk knowledge base integration. - [Websites integration](https://falconer.com/about/integrations/websites.md): Websites knowledge base integration. - [Bitbucket integration](https://falconer.com/about/integrations/bitbucket.md): Bitbucket knowledge base integration. - [Confluence integration](https://falconer.com/about/integrations/confluence.md): Confluence knowledge base integration. - [Google Drive integration](https://falconer.com/about/integrations/google-drive.md): Google Drive knowledge base integration. - [Google Calendar integration](https://falconer.com/about/integrations/google-calendar.md): Google Calendar knowledge base integration. - [Google Workspace integration](https://falconer.com/about/integrations/google-workspace.md): Google Workspace knowledge base integration. ## Legal - [Privacy Policy](https://falconer.com/privacy.md): Privacy Policy for Falconer AI Company. - [Rewards Program](https://falconer.com/rewards-program.md): Terms of the Falconer rewards program for referring new customers to Falconer. - [Terms of Service](https://falconer.com/terms-of-service.md): Terms of Service for Falconer AI Company. - [Third Party Terms](https://falconer.com/third-party-terms.md): Third party terms and conditions applicable to Falconer's products and services.