Deepseekagents-DSA-Context-Engine

The Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

🧠 DSA Context Engine

**The Cognitive Architecture for AI Agents.**Infinite Context. Perfect Recall. Zero Hallucinations.

 
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Built by DeepSeekAgents · For Agents That Need to Remember

📚 Documentation • ⚡ Quick Start • 🏢 Enterprise • 🌟 Star Us

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<div align="center">
&#x20; <code>bun install -g dsa-context-engine</code> — quick install
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Stop pasting the same context into Cursor over and over.Give your AI permanent memory—tasks, code structure, and conversations—all in one blazing‑fast graph.

🚨 The Crisis: Your AI Has No Long-Term Memory

AI coding assistants are stuck in an infinite loop of amnesia. Every conversation starts from zero. Every session forgets yesterday's breakthroughs. Every agent operates in isolation.

The current landscape is broken:

Tool	Memory Type	Problem
Cursor / Copilot	Vector RAG	Knows what code exists, not why it was written
Claude Code / OpenCode	Session scratchpad	Forgets everything when terminal closes
LangChain / Mem0	Flat chat logs	No connection to code structure or tasks
Linear / Jira	Task silos	Agents can't query them programmatically

Your agent doesn't need a larger context window. It needs a brain—a persistent, queryable, interconnected memory system that spans code, tasks, and conversations.

💡 The Solution: A Tripartite Brain for AI

DSA Context Engine is the ultimate MCP server for your existing AI tools. It unifies three memory systems into a single, blazing-fast temporal graph (powered by FalkorDB). It runs locally, syncs over Git (or real-time via DSA Cloud), and exposes everything via the Model Context Protocol (MCP).

👀 See It In Action

(Placeholder: Insert a high‑quality GIF showing a split screen – left: developer typing dsa task create "Fix auth bug" in terminal; right: Cursor agent instantly referencing the task and the exact function from auth.ts.)

⚡ Token Savings: See the ROI Instantly

Approach	Tokens Consumed	Cost (Claude Opus)
Standard RAG (whole file)	~15,000	$0.375
DSA Byte‑Offset Retrieval	~120	$0.003
Savings	~99% less	$0.372 per query

Every MCP response includes a _meta envelope showing exactly how many tokens and dollars you saved.

🤝 Community & Social Proof

<div align="center">
&#x20; <img src="https://img.shields.io/github/stars/deepseekagents/dsa-context-engine?style=social" alt="GitHub stars"/>
&#x20; <img src="https://img.shields.io/discord/1324567890123456789?style=social&label=Join%20Discord" alt="Discord"/>
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"DSA saved me $40 in Claude API costs this week alone. The token savings meter is pure gold."— @indiehacker, beta tester

"We deployed DSA Cloud across our 50‑person engineering team. Agent response times dropped 80% and we finally have a single source of truth."— CTO, SaaS company

The Triptych Architecture

graph TD
    A[AI Agent] <--> B[MCP Server]
    B <--> C[FalkorDB Graph]
    
    C --> D[🎯 Prefrontal Cortex<br/>Executive Memory]
    C --> E[👁️ Visual Cortex<br/>Structural Memory]
    C --> F[🕰️ Hippocampus<br/>Episodic Memory]
    
    D --> G[Tasks · Epics · Dependencies · Blockers]
    E --> H[AST Nodes · Functions · Classes · Imports<br/>➕ Stable IDs · Byte‑Offsets · Business Context]
    F --> I[Decisions · Conversations · ADRs · Timeline]
    
    style C fill:#f9f,stroke:#333,stroke-width:2px
    style D fill:#bbf,stroke:#333
    style E fill:#bbf,stroke:#333
    style F fill:#bbf,stroke:#333

1. 🎯 Prefrontal Cortex (Executive Memory)

An event-sourced, Git-native task manager that replaces scattered todo lists. Tracks epics, tasks, dependencies, and blockers with full temporal history. Your agent knows exactly what to work on and why.

2. 👁️ Visual Cortex (Structural Memory)

A real-time, WebAssembly-powered AST listener using Tree-sitter. It watches your filesystem and maps every class, function, and import directly into the graph. Unlike brute‑force file dumping, DSA indexes your codebase once and gives agents precision access:

Stable Symbol IDs like src/auth.py::AuthService.login#method – agents can reference the same function forever, even as code changes.
Byte‑Offset Retrieval – fetch only the exact lines of a function (O(1)), not the whole file.
Context Providers – automatically detect tools like dbt, Terraform, OpenAPI and enrich nodes with business metadata (descriptions, tags, column names).
Token Savings Meter – every MCP response reports how many tokens and dollars you saved compared to reading entire files. Cumulative totals let you see your ROI in real time.

All of this is enriched with semantic summaries using an ultra-cheap LLM waterfall:

Local Ollama (free) → Groq (free tier) → Gemini 2.0 Flash ($0.0001/1K tokens)

Cost to index an entire codebase: <$0.01

3. 🕰️ Hippocampus (Episodic Memory)

Powered by Graphiti MCP, this layer ingests every conversation, architectural decision, and commit message. It connects the Why (episodic context) to the What (code structure) and the When (task timeline).

Result: Ask your agent "Why did we pause the auth refactor?" and it instantly queries the graph to find the exact task, the modified auth.ts file, and the conversation where you decided the API was unstable.

🚀 Feature Matrix: Built for Every Scale

For Solo Developers & Power Users

Feature	Benefit	Tech
Zero-cost semantic indexing	Index entire codebases for free using local Ollama	LiteLLM waterfall
Instant context loading	Agent loads full project memory in <50ms	FalkorDB sub‑ms queries
Real‑time AST updates	File saves update graph in <10ms	web-tree-sitter + chokidar
Token‑efficient retrieval	Fetch only the exact function you need – up to 99% fewer tokens	Byte‑offset + stable IDs
MCP‑native	Works with any MCP client out of the box	stdio + HTTP transports
100% air‑gapped local mode	Your code never leaves your machine	Local FalkorDB + file cache

For Distributed Teams (Open Source Git Sync)

Feature	Benefit	Tech
Zero-conflict Git sync	Multiple agents edit memory simultaneously without merge conflicts	Append‑only JSONL + custom merge driver
Branch‑aware namespaces	Switch Git branches, switch memory contexts automatically	Graphiti `group_id`
Architectural Decision Records	Auto‑link team conversations to code	Episode → AST node edges
Cypher hyper‑queries	Ask questions RAG can't answer: "Show all open tasks that depend on functions modified in the last 48 hours"	Native FalkorDB Cypher

For AI Agent Builders

Feature	Benefit	Tech
Full MCP toolset	Call `list_tasks`, `search_memory`, `get_symbol_source` directly from your agent	MCP server
Auto‑task unblocking	AST changes automatically mark dependent tasks as unblocked	Graph triggers
Temporal search	Search across time: "What did we decide about the API last month?"	Graphiti hybrid search
Savings meter	Every response includes `_meta` with tokens saved and cost avoided	Built‑in token counter

⚡ DSA vs. The Status Quo

Capability	DSA Context Engine	Cursor / Copilot	LangChain / Mem0	Claude Code / OpenCode
Code structure (AST)	✅ Perfect graph mapping	❌ Probabilistic RAG	❌ None	⚠️ File-level only
Task management	✅ Native graph DB	❌ None	❌ None	❌ None
Episodic intent (Why)	✅ Temporal graph links	❌ Forgotten instantly	⚠️ Flat text logs	❌ Session-bound
Multiplayer sync	✅ Git / ☁️ Cloud real‑time	❌ Local only	⚠️ Cloud API	❌ Local only
Token cost	✅ ~$0.00 + up to 99% savings	❌ High	❌ High	❌ High
Query complexity	✅ Cypher hyper‑queries	❌ Keyword only	⚠️ Vector only	❌ None
Offline capable	✅ Full offline mode	⚠️ Requires API	❌ Requires API	⚠️ Limited

⚡ Quickstart: Give Your Agent a Brain Today

Prerequisites

Bun 1.1.0+
Docker (for local FalkorDB)

1. Install & Initialize

# Install globally
bun install -g dsa-context-engine

# Initialize in your project
cd your-project
dsa init

This spins up FalkorDB, creates .dsa/journal.jsonl, and starts the AST watcher.

2. Connect Your Agent

For Claude Code / OpenCode CLI:

claude -m "bunx dsa mcp"

For VS Code / Cursor:

Add to .vscode/settings.json:

{
  "mcp.servers": {
    "dsa-memory": {
      "command": "bunx",
      "args": ["dsa", "mcp"]
    }
  }
}

For Any MCP Client:

bunx dsa mcp  # Runs stdio MCP server

3. See the Magic: Before & After

Before DSA (Agent has no memory):

User: "What's the status of the auth refactor?"

Agent: "I don't know. Let me search your codebase..."
(Opens auth.ts, scans 500 lines, misses the context)

After DSA (Agent has a brain):

User: "What's the status of the auth refactor?"

Agent: "I see task dsa-a1b2 is blocked because we paused the JWT migration 
        due to API instability (episode from 2 days ago). The relevant function 
        `validate_token()` at auth.ts:45 was last modified by @jane.
        Here's the exact source..."

🛠️ CLI Commands (For Humans)

While agents interact via MCP, humans get a powerful CLI:

# Task management
dsa task create "Migrate auth to JWT"
dsa task block dsa-a1b2 dsa-c3d4
dsa task list --status open
dsa task show dsa-a1b2 --with-context

# AST operations
dsa ast watch           # Start background AST listener
dsa ast find "login()"  # Find code entity (returns stable ID)
dsa get_symbol src/auth.ts::AuthService.login#method  # Fetch exact source
dsa ast status          # Show watcher stats

# Episodic memory
dsa chat "We decided to pause JWT migration due to API instability"
dsa search "why did we pause auth?"

# Distributed sync (open source)
dsa sync                # Git pull + replay + push
dsa branch feature/auth # Switch memory namespace

# DSA Cloud (enterprise)
dsa login --org your-company  # Connect to managed cloud
dsa status              # Show system health
dsa logs                # View daemon logs

🏢 DSA Cloud – Managed Agentic Memory

The open‑source Git protocol is perfect for distributed indie teams. But when you're orchestrating hundreds of developers and thousands of concurrent AI agents, asynchronous Git merges introduce latency. You need real‑time, centralized truth.

DSA Cloud replaces the local JSONL + Git sync with a fully managed FalkorDB cluster and WebSocket‑based real‑time synchronization. It removes the need for local Docker containers and instantly networks your entire organization's AI swarm.

The open‑source engine is free for personal use. DSA Cloud is a commercial product for teams that need real‑time sync and enterprise features.

Why Enterprise Teams Choose DSA Cloud

Capability	Benefit
⚡ Real‑time WebSocket sync	When Agent A unblocks a task or learns a new architectural rule, Agent B knows about it <10ms later – anywhere in the world.
🐳 Zero local infrastructure	Developers run `dsa login --org your-company` and connect directly to the secure cloud graph. No Docker, no local FalkorDB.
🔐 Enterprise RBAC & security	Strict role‑based access control. Isolate memory graphs by team, project, or clearance level. SOC2‑compliant architecture.
🧠 Infinite scale	Managed clusters hold millions of AST nodes and episodic memories without degrading agent prompt latency.
📊 Fleet analytics dashboard	See exactly what your agents are spending time on, which code paths cause the most confusion, and visualize your entire task dependency graph in your browser.

How It Works in 3 Steps

Provision – Spin up a dedicated DSA Cloud Graph for your organization in one click.
Connect – Your team runs dsa login --org your-company. The local CLI and MCP servers securely route all graph queries to the cloud.
Orchestrate – Human developers and AI agents instantly share the exact same Prefrontal (Tasks), Visual (Code), and Hippocampus (Episodic) memory in real‑time.

<div align="center">
&#x20; <br/>
&#x20; <h3>Stop managing local graph databases. Start orchestrating agent swarms.</h3>
&#x20; <a href="https://deepseekagents.com/enterprise">
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&#x20; <br/>
&#x20; <sub>Need custom VPC deployment? <a href="mailto:enterprise@deepseekagents.com">Contact our Enterprise Solutions Team →</a></sub>
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🔬 Technical Architecture (In Brief)

Runtime:      Bun (TypeScript) – native speed, single-file executables
Graph DB:     FalkorDB – Redis-backed, sub-millisecond, MCP-native
MCP Server:   Graphiti (FastMCP fork) – stdio + HTTP transports
AST Parser:   web-tree-sitter – WASM, 200+ languages, <5ms per file
LLM Router:   LiteLLM – waterfall: Ollama → Groq → Gemini → fallback
Event Store:  JSONL append-only – Git-friendly, replayable
Persistence:  Docker volumes for FalkorDB + optional Git backup
Cloud Sync:   WebSocket + managed FalkorDB cluster (enterprise)
Token Savings: Built‑in meter with tiktoken, cumulative totals
Stable IDs:   {file_path}::{qualified_name}#{kind}
Context Providers: dbt, Terraform, OpenAPI, docstrings (extensible)
Security:     Local mode is 100% air‑gapped – your code never leaves your machine.

📚 Read the Full Architecture Documentation →

🤝 Contributing

We welcome contributions from the community. See CONTRIBUTING.md for guidelines.

Priority areas:

Additional Tree‑sitter language grammars
Custom merge driver improvements
IDE integrations (Neovim, IntelliJ)
More LLM provider adapters

📄 License

DSA Context Engine is dual‑licensed:

Free for personal/non‑commercial use – individuals, students, hobbyists, and non‑profits may use the software for free under the terms of the non‑commercial license.
Commercial use requires a paid license – any use by a for‑profit organization, internal business use, or revenue‑generating activity requires a commercial license.

The full source code is available under the non‑commercial license. Commercial licenses are available per‑seat or per‑organization.

For commercial licensing inquiries, contact:�� licensing@deepseekagents.com

DSA Cloud is a commercial product; the open‑source engine remains under the dual license.

💬 Community

Discord – Support and discussion
Twitter – Updates and announcements
GitHub Issues – Bug reports and feature requests

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&#x20; 
**Stop treating agents like interns. Give them a brain.**

🌟 Star the Repository · 📚 Read the Docs · 💬 Join the Community

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Deepseekagents-DSA-Context-Engine

🧠 DSA Context Engine

🚨 The Crisis: Your AI Has No Long-Term Memory

💡 The Solution: A Tripartite Brain for AI

👀 See It In Action

⚡ Token Savings: See the ROI Instantly

🤝 Community & Social Proof

The Triptych Architecture

1. 🎯 Prefrontal Cortex (Executive Memory)

2. 👁️ Visual Cortex (Structural Memory)

3. 🕰️ Hippocampus (Episodic Memory)

🚀 Feature Matrix: Built for Every Scale

For Solo Developers & Power Users

For Distributed Teams (Open Source Git Sync)

For AI Agent Builders

⚡ DSA vs. The Status Quo

⚡ Quickstart: Give Your Agent a Brain Today

Prerequisites

1. Install & Initialize

2. Connect Your Agent

3. See the Magic: Before & After

🛠️ CLI Commands (For Humans)

🏢 DSA Cloud – Managed Agentic Memory

Why Enterprise Teams Choose DSA Cloud

How It Works in 3 Steps

🔬 Technical Architecture (In Brief)

🤝 Contributing

📄 License

💬 Community

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Deepseekagents-DSA-Context-Engine

🧠 DSA Context Engine

🚨 The Crisis: Your AI Has No Long-Term Memory

💡 The Solution: A Tripartite Brain for AI

👀 See It In Action

⚡ Token Savings: See the ROI Instantly

🤝 Community & Social Proof

The Triptych Architecture

1. 🎯 Prefrontal Cortex (Executive Memory)

2. 👁️ Visual Cortex (Structural Memory)

3. 🕰️ Hippocampus (Episodic Memory)

🚀 Feature Matrix: Built for Every Scale

For Solo Developers & Power Users

For Distributed Teams (Open Source Git Sync)

For AI Agent Builders

⚡ DSA vs. The Status Quo

⚡ Quickstart: Give Your Agent a Brain Today

Prerequisites

1. Install & Initialize

2. Connect Your Agent

3. See the Magic: Before & After

🛠️ CLI Commands (For Humans)

🏢 DSA Cloud – Managed Agentic Memory

Why Enterprise Teams Choose DSA Cloud

How It Works in 3 Steps

🔬 Technical Architecture (In Brief)

🤝 Contributing

📄 License

💬 Community

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