More context <<<
Better context.
The brain that doesn't just remember everything about you, it decides what your agents should actually work on, and what to skip.
Train Your BrainBuild Enterprise ASI • No credit card required
ACL Control
Choose exactly which files each teammate or AI can access. Keep sensitive company information completely private and protected.
Memory Graph
Link files, chats, and facts into a smart visual map. Your AI connects the dots without ever getting confused.
Tools & Connectors
All connectors works completely on-site with no keys or consent saved on our end. Ensuring high level of privacy for our clients.
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 no base harness dependent.
Multiplayer AI Enterprise
Every user can dump and retrieve results from a Unified Results Space. Making Agentic data transfer seamless across teams.
Why BetterContext?
Zero-hallucination execution, built-in PII redaction, and closed-loop feedback that stops agents from acting on outdated or confidential data.
| Capability / Feature | Standard RAG | Graph RAG | Google OKF | BetterContext |
|---|---|---|---|---|
| Category | Vector Search Engine | Knowledge Graph Synthesizer | Upstream Documentation Spec | Causal Context Engine |
| Selection Logic | Cosine Similarity | Entity Traversal | Explicit Links / Frontmatter | Experience Engine |
| Closed-Loop Feedback | ❌ None | ❌ None | ❌ Manual | ✅ Real-time |
| Context Packing | Top-𝐾 truncation | Community | File-by-file loading | Synergy vs Redundancy |
| Confidence Tracking | ❌ Heuristic | ⚠️ Static edge | ⚠️ Frontmatter | ✅ Half-life decay |
| Time-Travel Audit | ❌ None | ❌ None | ⚠️ Git history | ✅ Dual-Clock Traversal |
| Secret / PII Redaction | ❌ None | ❌ None | ❌ None | ✅ Yes |
| Experience Engine | ❌ None | ❌ None | ❌ None | ✅ Human Translation |
| Stack Placement | Midstream Retriever | Midstream Synthesizer | Upstream Knowledge Packaging | Context OS + Agent Experience Engine |
Have questions,
We got answers.
Everything you need to know about how BetterContext's memory graph, ACL guardrails, and harness-agnostic agents empower your team.
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Why is "Better Context" more effective than simply expanding LLM context windows?
Massive context windows suffer from high latency, steep inference costs, and the well-documented "lost-in-the-middle" problem where models miss critical instructions buried in huge token dumps. BetterContext curates, prunes, and grounds every agent prompt with precise, verified facts from your knowledge graph—providing higher reasoning accuracy with a fraction of the token consumption.
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How does the visual Memory Graph eliminate agent hallucinations?
Instead of relying on fuzzy semantic vector search alone, BetterContext builds a deterministic graph linking files, conversations, code dependencies, and business rules. When an agent queries the brain, it traverses verified relationships and references grounded ground-truth entities, preventing the hallucination of non-existent APIs or outdated processes.
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How do granular ACL controls manage agent read, write, and admin permissions?
You set exact permissions per user, agent, and directory. For example, an Account Manager agent can be restricted to "Read" access on client documentation, while an engineering agent has "Read + Write" on repository files, and management retains "Admin" control over governance policies.
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Why do on-site local connectors provide superior privacy and security?
BetterContext's connectors (Apollo, HubSpot, Stripe, GitHub, etc.) execute locally on-site. Authentication tokens, API keys, and raw payloads are never stored, cached, or transferred through BetterContext servers, ensuring complete client-side data sovereignty and zero credential exposure.
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How does the Agent Builder work across different AI harnesses?
BetterContext is completely harness-agnostic. Skills and memory configurations you build can be installed in seconds into Claude Code, Cursor, Antigravity, VS Code, or Hermes via standard plugins and MCP (Model Context Protocol), freeing your team from vendor lock-in.
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What is Multiplayer AI and how does the Unified Results Space streamline team workflows?
Multiplayer AI allows multiple teammates and independent agents to write into and pull from a synchronized results repository. Research gathered by one agent, code written by another, and testing logs produced by a third are immediately discoverable and actionable across your entire organization.
