ledgermind Files

Release Notes — Agent Memory System v2.4.1

This release, codenamed "Anti-Spam & Proactive Discovery," introduces critical improvements to context management and doubles down on autonomous knowledge acquisition by learning from success, not just failure.

🚀 What's New in v2.4.1 (vs v2.4.0)

1. Knowledge Cooldown Mechanism In v2.4.0, agents often received the same foundational facts in every prompt, leading to "context fatigue." v2.4.1 resolves this:
2. Smart Tracking: The Runner now records a context_injection event in episodic memory whenever a specific piece of knowledge is provided to the agent.
3. Automatic Suppression: If a decision has been injected recently, it is placed on a 15-event cooldown. This prevents the same facts from being repeated in every turn, keeping the context window fresh for new or more specific information.

4. Impact: Significant reduction in prompt "noise" and more efficient use of the model's attention.

5. Proactive Reflection v4.1 (Learning from Success) Previously, the Reflection Engine was primarily reactive to errors. Now, it proactively codifies what works:

6. Best Practice Proposals: If the system detects 5 or more successful operations in a target area that lacks formal rules, it automatically generates a proposal to formalize this pattern as a Best Practice.
7. Faster Discovery: The error threshold for triggering structural flaw investigations has been lowered to 2 incidents (from 3).

8. Responsive Cycles: The observation window has been tightened from 12 hours to 6 hours, allowing the agent to evolve its knowledge base twice as fast.

9. Enhanced Injection Protocol

10. Nudge Mechanism: When no relevant context is found for a query, the system now has a 10% chance to "nudge" the agent: "No relevant verified knowledge found. If this task leads to a new insight, please use 'record_decision'."
11. Refined Instructions: The system prompt now includes explicit rules preventing the agent from repeating information that is already present in the [VERIFIED KNOWLEDGE BASE] block.

🛠 Technical Updates

• Core: Added success_threshold logic and proactive clustering to ReflectionEngine.
• Runner: Implemented _is_on_cooldown and _record_injection in the GovernanceEngine layer.
• Test Coverage: Introduced core/tests/audit/test_reflection_proactive.py and updated runner/tests/test_governance.py to cover cooldown and nudge logic.
• Unified Versioning: All components (Core, Server, Adapters, Runner) are now synchronized at v2.4.1.

📦 Upgrade Path To update your local installation:

pip install --upgrade -e ./core -e ./mcp_server -e ./adapters -e ./runner

Agent Memory System — Engineering the foundation of AI autonomy.