Agents run on
Human Experience.
Turn your team's real-world engineering experience into shared memory for AI agents. Focus Mode cuts through noise so agents know exactly what to execute—and what to skip.
Gain Experience Now Developer DocsMemory Is Your Moat • Zero RAG Pipelines
1. Connect
Connect your stack. 240+ developer tools and data sources in one click.
2. Map
Auto-index workspace knowledge into a living, queryable causal graph.
3. Execute
Execute across Claude, Cursor, or custom agents with shared team context.
Works seamlessly with
Models are commodity, Memory is your moat.
Models change every quarter, but your domain knowledge shouldn't. BetterContext builds the persistent memory harness that turns commodity models into your ultimate moat.
Build Your Knowledge Graph— Karan Sawant
Never let an agent run on the wrong task again
/EMPLOYEE DIRECTORY
My Agents
My Skill
My Tools
App Infra (2)
Design Assets
Marketing
Reports
Legal
References
References
References
/AGENT SKILLS
Apple Design
React App
Awesome Messaging
Go-To-Market
CFO Skill
CFO Skill
CFO Skill
CFO Skill
CFO Skill
CFO Skill
Files & Folders
are all you need.
Keep your existing directory structure. BetterContext monitors your local files, code repositories, and documentation, indexing changes in real time so your agents always execute against ground truth.
Connect Your Workspace<250ms
Recall latency
99.17%
Context Precision
#1
On Every Bench
Translate your SOPs
to AI Agents.
Stop repeating instructions across prompts. Package runbooks, design guidelines, and code review rules into reusable skills that Claude, Cursor, and custom agents follow without drift.
Turn SOPs Into SkillsPay For Focus.
Not For Wandering.
Deploy enterprise-grade agent memory without unpredictable token bloat.
Transparent pricing that scales with your fleet.
Pro
For solo builders, prototypers,
and personal AI workflows.
$20 / MO
~$20/mo of usage built-inMax
For high-velocity engineering teams
running persistent agent fleets.
$100 / MO
~$120/mo of usage built-in (6x Pro)Scale
For production systems demanding high throughput,
causal inference, and dedicated compute.
$299 / MO
~$400/mo of usage built-inAllied with
Trusted by Engineers
Building Autonomous Fleets
From solo builders to distributed engineering teams—see how BetterContext eliminates context drift and cuts token waste.
"BetterContext completely solved our Cursor and Claude agent drift. Grounding prompts against our repo graph cut hallucinated edits to zero."
Alex Chen
Staff AI Engineer @ Synthetix
"The sub-250ms recall latency is unreal. Our autonomous coding agents retrieve exact project context without stalling developer workflows."
Sarah Jenkins
Lead Architect @ Veloce Labs
"We plugged BetterContext in via MCP and our background agents ran overnight without a single loop failure. Memory is truly our moat now."
Marcus Vance
Founder @ Agentic Studios
"No more dumping giant repo files into context windows. BetterContext prunes prompt noise and cut our monthly LLM token bill by 65%."
Elena Rostova
Head of AI @ DevFlow
"Setting up the MCP server took under 2 minutes. Now Claude Code, Cursor, and VS Code all share the exact same ground-truth memory graph."
David K.
Principal Engineer @ HyperScale
"Our AI agents used to refactor working modules by mistake. With BetterContext's task guardrails, every pull request stays 100% on spec."
Priya Sharma
Product Lead @ Nexus AI
"The single best upgrade to our AI agent fleet. Grounding prompt context in real-time makes cheap models perform like frontier models."
Liam O'Connor
Founder @ PromptStack
"Design system handoffs used to be a nightmare for AI coders. BetterContext indexes our tokens so agents generate clean, compliant React code."
Sophia Martinez
Senior Frontend Architect
"Instant sub-250ms context queries across a 100B+ token codebase. BetterContext is essential infrastructure for any team building with AI."
James Harper
Tech Lead @ CloudScale
"Our enterprise security team approved BetterContext immediately thanks to tenant data isolation and zero model training policy."
Amara Okafor
CTO @ NeuralCraft
"I stopped re-explaining my architecture every morning. BetterContext keeps persistent second brain memory across all my sessions."
Vikram Patel
Full Stack Developer
"We onboard new developers and agents in minutes instead of weeks. Shared team memory has accelerated our shipping speed by 5x."
Rachel Weiss
Agency Director @ CodeCraft
Generic Models Guess.
Domain Memory Protects.
Give commodity LLMs deep institutional context. BetterContext pairs real-time knowledge graphs with causal guardrails so agents act with precision.
ACL Control
Define granular read and write permissions per file, folder, and agent. Sensitive credentials and internal records never leak into unprivileged context.
Memory Graph
Synthesize codebases, pull requests, and documentation into a living causal graph. Agents traverse relationships across systems with zero hallucination.
Tools & Connectors
All connectors execute locally within your runtime environment. API keys and authentication tokens are never stored or logged on our servers.
Upload Data
Give AI Agents specific knowledge to work.
Create Skills
Create skills your agents can use and share.
Build Agents
Bring any base harness...
Agent Builder
Turn your guides and everyday tools into specialized AI helpers that anyone on your team can install in seconds with zero harness lock-in.
Multiplayer AI Enterprise
Synchronize context and execution outputs across your entire engineering team. Agents pick up where teammates leave off without duplicate indexing.
Security
Built to Integrate Safely
Into Your Stack.
Secure by Design
Architected from the ground up for strict enterprise isolation, role-based access, and audited data flow across every session.
Privacy Controls
Automated PII redaction and payload filtering strip sensitive credentials and personal data before prompt execution.
Deploy Your Way
Cloud, private VPC, or fully air-gapped on-premise. Your memory graph stays entirely inside your infrastructure and is never used for training.
Have questions?
We have answers.
Everything you need to know about BetterContext, agent memory, and integrating with your stack.
Can't find your answer?
Get in touch with our team for technical demos or custom enterprise requirements.
Contact Us-
What is BetterContext and how does it work?
BetterContext is an Enterprise ASI memory system and second brain for AI agents. It connects your workspace tools into an automatically generated causal knowledge graph, providing agents like Claude, Cursor, and ChatGPT exact memory, guardrails, and context so they execute tasks accurately.
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How does BetterContext prevent AI agents from working on the wrong task?
BetterContext grounds every prompt against your verified workspace graph. With Focus Mode, it applies causal inference to determine whether actions directly drive target outcomes, pruning invalid steps and hallucinations before execution.
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Which tools, models, and platforms are supported?
BetterContext integrates seamlessly via MCP (Model Context Protocol) and native plugins with Claude, Claude Code, Cursor, VS Code, ChatGPT, Gemini, Antigravity, Manus, Mistral, Grok, Together, Fireworks, and over 240+ workplace integrations.
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What is the recall latency for memory and context queries?
BetterContext operates with sub-250ms recall latency across codebases and datasets exceeding 100B+ tokens, maintaining real-time responsiveness for developer and autonomous agent workflows.
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How private and secure is my personal and company data?
Your data and memory graphs remain completely isolated within your tenant. All plans enforce a zero model training policy by default, with Enterprise plans offering dedicated VPC deployment, SOC 2 compliance, and custom encryption.
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What is the difference between Free, Pro, Max, and Scale plans?
Pro ($20/mo) provides unlimited storage, connectors, and email support for solo developers. Max ($100/mo) delivers 6x usage capacity and priority support for fast-moving teams. Scale ($299/mo) provides high-throughput enterprise scale with dedicated compute.
Engineering Insights & Updates
Technical deep dives on agent memory architectures, causal inference, and building production-grade autonomous fleets.
