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Human-Agent-Society/CORAL

Open source
Research-Agent Systems Updated Sep 16, 2026
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Compared with 21 other Research-Agent Systems agents Open source Self-hostable Updated Sep 2026
Open Source Updated Sep 2026 Self-hostable

Pricing

Open Source

Pricing not publicly listed.

Use cases

Collaborative mathematical theorem proving Algorithmic optimization in distributed systems Autonomous research agent frameworks Persistent memory-based problem-solving Benchmarking multi-agent system performance

Pros & cons

Pros

  • Supports long-running, memory-retentive agents
  • Asynchronous execution enables scalable collaboration
  • State-of-the-art performance on select benchmarks

Cons

  • Likely requires significant computational resources
  • Niche focus may limit general applicability
  • Open-ended discovery may lack deterministic outcomes

Overview

CORAL is an autonomous multi-agent system designed for open-ended discovery, featuring long-running agents with shared persistent memory and asynchronous execution. It focuses on solving complex math, algorithmic, and systems tasks through collaborative agent evolution and heartbeat-based interventions.

Problem it solves

Enables scalable, persistent multi-agent collaboration for solving long-term research problems that require continuous adaptation and memory retention.

Target audience: Developers and teams working with research-agent systems automation.

Inputs

  • User configuration
  • API credentials (if required)
  • Task parameters

Outputs

  • Automated task results
  • Status reports
  • Generated content or actions

Example workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample system prompt 


              You are Human-Agent-Society/CORAL, an AI assistant. Help the user accomplish their task efficiently.

Tools & technologies

LLM APIs Python

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FAQs

What is Human-Agent-Society/CORAL?
CORAL is an autonomous multi-agent system designed for open-ended discovery, featuring long-running agents with shared persistent memory and asynchronous execution. It focuses on solving complex math, algorithmic, and systems tasks through collaborative agent evolution and heartbeat-based interventions.
How much does Human-Agent-Society/CORAL cost?
Human-Agent-Society/CORAL's pricing model is Open Source. Pricing not publicly listed.
What is Human-Agent-Society/CORAL used for?
Human-Agent-Society/CORAL is used for: Collaborative mathematical theorem proving; Algorithmic optimization in distributed systems; Autonomous research agent frameworks; Persistent memory-based problem-solving; Benchmarking multi-agent system performance.
What are the best alternatives to Human-Agent-Society/CORAL?
Human-Agent-Society/CORAL is a Research-Agent Systems AI agent. Compare it with the best alternatives — ranked by features, pricing, and use case — on our Human-Agent-Society/CORAL alternatives page.
Is Human-Agent-Society/CORAL open source?
Yes, Human-Agent-Society/CORAL is open source.
Can Human-Agent-Society/CORAL be self-hosted?
Yes, Human-Agent-Society/CORAL can be self-hosted.
What skill level is required to use Human-Agent-Society/CORAL?
Human-Agent-Society/CORAL is designed for intermediate users.

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