Multi-domain AI agents. Together AI model routing. Weaviate RAG and optional PostgreSQL-backed Akashic run history. Custom training loops. Use Apollo standalone via REST API, or unlock deep integrations with Akashic (code intelligence), Atlas (entity management), and Delt (AI-native trading) — deployed in minutes.
Apollo works standalone as a REST API — or as the intelligence layer powering the full Colossal Capital ecosystem. Every integration is grounded in a live Knowledge Graph, not just an API call.
Akashic is the VS Code extension that puts Apollo directly in your sidebar. Mount a repo in any language, connect to the managed Apollo backend, and run full audits, incremental checks, or interactive agent sessions — with run history in the Akashic portal and durable telemetry on PostgreSQL when enabled.
Apollo is fully managed by Colossal Capital. Install the Akashic extension, connect your API key, and start analyzing — no infrastructure to deploy or maintain.
Atlas manages the full financial, legal, and operational complexity of every entity you own — personal or business. Apollo is the intelligence layer, powering compliance monitoring, financial analysis, legal extraction, tax automation, jurisdiction-aware intelligence, and every AI inference Atlas makes.
Apollo implements the Model Context Protocol so any MCP-compatible AI assistant can call its capabilities as first-class tools. No custom plugins, no vendor lock-in — just structured tool calls over a standard protocol.
apollo/codebase_analysis, apollo/kg_query, apollo/ticket_generate, apollo/semantic_search, and more — directly from your AI assistant's tool use interface.apollo/kg_search to query the Neo4j Knowledge Graph and apollo/rag_search for Weaviate hybrid BM25 + vector retrieval — grounding agent responses in your actual codebase and documents rather than hallucinated context.stdio or SSE transport. Configure once in your client's mcp.json and every tool appears in the tool palette — no extension, no plugin, no API key management in the client.run_analysis, index_codebase, semantic_search, understand_repo, detect_drift — analysis phases exposed as discrete tools with structured JSON output.kg_query, kg_search_entities, kg_get_relationships, kg_ripple_risk — traverse the graph, identify impacted nodes, and surface architectural context.generate_tickets, execute_ticket, sync_to_linear, sync_to_jira — generate and push tickets to your PM tool from a single tool call.trigger_deployment, validate_pr, bootstrap_iam, setup_stack — orchestrate CI/CD pipelines and trigger Terraspace deployments.ingest_document, atlas_search, compliance_check, extract_entities — entity management, compliance monitoring, and financial intelligence as MCP tools.repo_agent, repo_query, repo_execute — each repo gets a dedicated AI agent trained on its code, graph, and history. Query context or make changes through MCP like an LLM that owns the repo.Every agent is AI-native, graph-grounded, and context-aware. Agents read from and write to the Knowledge Graph, codebase map, and vector embeddings — building a shared intelligence layer across all your workflows.
Apollo pricing is managed through your Colossal Capital tier — Free, Pro, Ultra, Business, or Enterprise. Your tier controls API limits, training budgets, and feature gates across Apollo and every other CC product.
Your CC tier (starting at $0/mo) sets your API call limits, training budget, team size, and feature gates. Apollo is a $4/mo product add-on.
Apollo is fully managed. Sign up, grab your API key, and connect Akashic or any MCP client in minutes.
From analysis to deployment — every phase connected. Click a tab to explore a specific flow, or view the full pipeline end-to-end.
One container. Multi-domain agents. Graph-grounded intelligence. Together AI routing. Use standalone or unlock deep integrations with Akashic (code intelligence), Atlas (entity management), and Delt (trading platform).