Self-learning context layer for your AI engineering agents
A pair programmer for your agents that knows your platform and shows them how things are done. Self host or use our managed version.
Request early access to the fully managed version of ctx|. No spam.
Your best engineers are already cleaning up after their agents. Now imagine giving agents to everyone else.
Rework. Diverging patterns. Decisions revisited. Bugs reintroduced. At small scale, it’s annoying. At org-wide scale, it compounds.
The problem isn’t the agents. It’s that they’re blind. They don’t understand your architecture. They don’t know your standards. They don’t remember what your team has already learned. .md files alone don't scale, context is scattered.
Self-learning knowledge graph infrastructure for 1000s of autonomous coding agents
Control and govern at scale — during agent planning and execution. Git-first, instruction hierarchy, existing workflows. Self host or host with us.
Govern agent planning and execution states. Instructions hierarchy (AGENTS.md, skills, MCPs), review in PRs, promotion and demotion based on usage. Know what agents can do and what they're allowed to do.
A single entrypoint for your org's context via an agent-agnostic MCP interface. Cursor, Claude Code, Copilot, custom workspaces — one connection.
Git-native, transparent memory + observation-driven graph enrichment. Context persists. Agents build on what others learned and how the system changed.
Git is the source of truth. Instruction hierarchy lives in your repo. Works with your branch strategy, CI, and tooling. No separate instruction store—it's all versioned and reviewed.
The graph learns from input and execution
Instructions, skills, and ADRs maintain a log in your repo—creating a feedback loop that keeps the knowledge graph current. Memory is an MCP tool that stores to files in the repo; it stays local until git ingestion. Personal memories sync to the server for cross-session continuity.
ADRs, instructions, and skills maintain a log in the repo. The graph ingests it, learns from it, and closes the loop.
Memory is a local MCP tool that persists to .md files in your repo. All memories are transparent, readable and versioned, shared via commit and push.
Personal memories sync to the server for continuity across sessions. Your preferences and context follow you.
Control and governance at scale—planning and execution
AGENTS.md, skills, and MCPs form an instruction hierarchy. Git is the source of truth; review happens in PRs.
AGENTS.md, skills, and MCPs define languages, libraries, and conventions. All versioned in the repo.
Repos roll up to domains, then org. Usage proposes promotion and demotion—putting you in the driver's seat of how agents build.
Review in PRs. No separate instruction store—agents read from files in the repo.
A living map of how your engineering system works
Agents are just one consumer. Everyone navigating the system needs the same context.
Give agents the full picture
Expose architecture, ownership, dependencies, standards, and prior agent findings through one context layer.
Onboard new team members
Help engineers learn how the system actually works without relying on stale docs or scattered handovers.
Share learning from agent runs
Every agent run adds to shared knowledge. The next agent or engineer picks up where the last one left off.
Review PRs with system context
Check changes against architecture, ownership, dependencies, conventions, and prior decisions before they merge.
Understand unfamiliar codebases
Trace services, boundaries, patterns, and decisions before touching code outside your usual area.
Plan migrations and refactors
See where shared code is used, who owns it, and what may break before changing core interfaces.
Debug incidents with context
Jump from symptom to owner, related service, dependency, recent change, and prior fix path.
Map ownership across teams
Understand how repos, teams, domains, and operational responsibilities connect across the organisation.
Preserve system knowledge
Keep decisions, conventions, and learned patterns discoverable even as teams change.
Connect git and other sources
Point ctx at your repos, monorepos, and tools. Git is the source of truth—works with your existing workflows, branch strategy, and instruction hierarchy (AGENTS.md, skills, MCPs).
System indexes and learns
The knowledge graph ingests your codebase, dependencies, and metadata. It learns from ADRs, instructions, and agent interactions. Indexing runs locally or in CI—your graph stays where you want it.
Connect your agent via MCP
Use the MCP server to connect Cursor, Claude Code, Copilot, or any agent. One connection, full graph access. Agents traverse the knowledge graph during planning and execution—with control and governance at scale.
Built for Agents + Engineers
Bring your engineering context together
Cline
Kilo CodeOpen source
Built in the open. ELv2 licensed. The core is open-source: audit it, contribute to it. We believe infrastructure this critical should be open. Self host or host with us.