Spark provides a shared memory layer for AI agents, capturing fixes, dead ends, and decisions from each run so future agents can reuse that knowledge without rediscovering it. The platform integrates with popular models and IDEs, offering self‑serve onboarding in minutes and enterprise‑grade security features like SOC 2 compliance, on‑prem deployment, and role‑based governance.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents repeatedly waste time and compute resources because each run starts from a clean slate, forcing them to rediscover repository quirks, failed paths, and human corrections. This “cold‑start tax” leads to higher token costs, longer task completion times, and loss of valuable institutional knowledge.
Solution
Spark provides a shared memory layer that captures fixes, decisions, failed attempts, and coding conventions from each agent run and makes them searchable and reusable across sessions, tools, and team members. By persisting these artifacts as structured, governed memory, subsequent agents can retrieve relevant lessons before executing, reducing token consumption and eliminating redundant debugging. The platform integrates with popular models (Claude, GPT, Gemini, Llama, etc.) and development environments (VS Code, Cursor, Copilot, Windsurf, JetBrains) via a plug‑and‑play SDK, requiring no workflow changes. Enterprise customers benefit from SOC 2‑compliant controls, on‑prem deployment, SSO, audit logs, and role‑based governance, ensuring that memory stays within organizational boundaries. Pricing is per‑seat, with a free tier for individual developers and tiered plans that include private team memory, policy‑driven provenance, and dedicated support for large regulated teams.
Target Audience
Primary customers are software engineering teams and AI development groups in startups, scale‑ups, and regulated enterprises that use AI agents for code generation, testing, or automation, and need to reduce redundant work and secure shared agent knowledge.
Features
- Automatic capture of agent fixes, corrections, dead ends, and decisions into a durable, searchable memory store
- Scoped, permissioned memory that can be shared across repos, tools, and model providers while respecting governance policies
- Integration SDKs for Claude Code, Codex, Cursor, Copilot, Windsurf, VS Code, JetBrains, and other IDEs
- Token‑usage reduction of ~50% by reusing prior knowledge instead of re‑prompting large context windows
- Enterprise security features: SOC 2 controls, on‑prem/VPC deployment, GDPR‑ready residency, SSO/SCIM, RBAC, and audit logging
- Insight dashboards showing memory reuse metrics, token savings, and developer productivity gains
- Policy‑driven memory lifecycle management including review, deduplication, and retirement of obsolete entries