SymbioForge
Chat with your AI team to build & launch products.
7 followers
Chat with your AI team to build & launch products.
7 followers
SymbioForge is an AI-native social + multi-agent collaborative creation platform. In one single chat, you work together with your AI team (7 specialized agents: PM, Designer, Frontend, Backend, Tester, Copywriter, etc.) to go from idea to launched product seamlessly.
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Render Sandboxes: a computer for every agentRun untrusted code safely. Idle sandboxes cost nothing
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The idea of having seven specialized agents collaborate in a single chat is genuinely useful, especially the way the tester caught a few bugs I missed while designing. Curious to see how it handles more complex backend logic on longer projects.
@eyll59621246276 Thank you for your question. While the system comes with seven pre-configured intelligent agents, the actual number can be far greater; we provide users with the tools and capabilities to develop their own agents based on their specific project needs. Furthermore, users can list their custom agents on our marketplace for rent—allowing them to retain all the revenue generated while enabling others to experience the agents they have created.
@eyll59621246276 Here is how the current mechanism handles the issues you raised:
1️⃣ It "reads" the code before making changes. Before starting a task, the backend agent checks which files exist in the project. It reads the current content of a specific file and applies targeted modifications (patch-style, leaving the rest of the code intact) rather than rewriting the entire file based on memory. Consequently, the larger the project, the more it relies on the actual code rather than its internal memory.
2️⃣ No loss of key information in long conversations. History that falls outside the immediate context window is automatically compressed into a rolling summary (preserving requirements, decisions, and filenames). We have also implemented semantic memory: if you ask about something discussed long ago, the system automatically retrieves those relevant past discussions for the agent to reference.
3️⃣ Verification through actual execution. We have integrated a real execution sandbox. Backend code (supporting multiple languages like Python and dependency installation) can be executed to verify logic, rather than just being generated for display.
4️⃣ No truncation of long answers. When outputting complex logic that requires a lengthy response, the system automatically continues writing until the answer is complete, ensuring it doesn't cut off halfway.
💡 Two tips for better results: Break complex requirements into smaller steps for the agent to execute sequentially (e.g., one API endpoint at a time), and explicitly "sign off" on key decisions in the chat group—these points will be prioritized in its memory.
If you encounter instances where the agent "forgets" details or makes errors in a specific project, please share the project scenario with us. We will follow up and make optimizations, as this is a key area of our ongoing development.
Love how the seven agent roles each feel distinct instead of generic assistants - the Tester and Copywriter having real seats at the table from idea stage is a smart UX call.
@uleztopaliffz Thank you. During development, we pre-configured seven intelligent agents; furthermore, we provide users with the opportunity and functionality to develop their own agents. Users can create and add agents tailored to the specific needs of their projects and list them for rent on our system's agent marketplace—allowing them to retain all the revenue generated while enabling others to experience the agents they have created.