Your agents know the code.Give them the rest of the context.
Unblocked is the context layer for agentic software development. It reasons across your code, conversations, issues, docs, product, and production systems so agents can complete work correctly with less human intervention.
We solved the toughest problems in context delivery — conflict resolution, permission enforcement, freshness, relevance, and cost optimization — so you don’t have to. Connect your code, conversations, issues, documentation, product, and production systems. Unblocked reasons over all of it to give your agents a shared understanding of your organization, so they can complete work correctly with less human intervention.
Inside the Context Engine
Conflict Resolution & Relevance
One reconciled answer, personalized to you.
Contradictions across sources are resolved automatically using recency, authority, and proximity signals.
Results are personalized to each developer’s contribution history, active focus areas, and terminology.
Every answer ships with source links — no black-box reasoning, traceable to origin.
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Inside the Context Engine
Cross-source Reasoning
One graph, every source, traversed at once.
Code, docs, tickets, and conversations are ingested into a single living knowledge graph — not searchable silos.
Relationships across systems are traversed in a single pass (a Jira ticket → linked PR → Slack thread → code).
The best answer for the task is handed off, rather than sequentially querying individual sources and hoping.
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Inside the Context Engine
Permission-Aware Delivery
Scoped to your repos, teammates, and work history.
Scoping starts with intent and identity, ensuring every request is authenticated.
Contribution history and collaborators help refine search scope before executing retrieval.
Context is scored, compressed, and assembled server-side — fewer wasted tokens, higher-quality agent input.
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Inside the Context Engine
Organizational Memory
The unwritten rules, made explicit and actionable.
Implicit conventions are mined from PR review feedback, codebase evolution, and cross-source patterns.
Expertise topology identifies who actually has authority in each area — not just who claims to.
Living rules and conventions are injected into agent context, so generated code fits how the team works, not just what the docs say.
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Ask your agent what makes Unblocked different.
Get the short version of how Unblocked turns scattered context into a shared understanding your team — and its agents — can act on.
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Unblocked works everywhere you do
Connect Unblocked to your tools and agents in minutes. Use MCP, CLI, API, or direct integrations to bring context into every workflow.
The teams moving faster with Unblocked
Real results from real teams — faster onboarding, fewer review cycles, and AI agents that reliably stay on track.
“Unblocked is the brain that makes our agents actually work.”
Webflow's engineering productivity org runs remote agentic development at scale with Claude, Cursor, and Codex. Unblocked is the context engine that gives every engineer and AI agent the institutional knowledge behind a 10+ year codebase, cutting tokens and rework, catching past incidents, and making agent-written code safe to merge.
Rally's go-to-market team runs on Unblocked. It safely opens the company's codebase, Slack, and Linear to non-engineers, so support, CS, and sales answer any product question without pulling engineers off building Rally. CTO and co-founder Alec estimates it saves him five to ten hours a week, and has cut the product questions he personally fields by 90%.
How RB Global's new platform team took ownership in three months, not six
When a new platform team took a consultant-run stack in-house at RB Global, Unblocked was the context engine that turned years of scattered knowledge across GitHub, CircleCI, Confluence, Jira, and Slack into instant answers. The team took full ownership in three months instead of six, and now leans on Unblocked as a support arm for more than 200 developers.
Unblocked is designed with security and privacy as core requirements. Customer data is isolated, authorized, and encrypted and your data will never be used to train models.
