fix(cli): wire praison run session continuity to project session store

src/praisonai-agents/praisonaiagents/agent/memory_mixin.py

@@ -317,8 +317,9 @@ def _init_session_store(self):
             return
 
         try:
-            from ..session import get_default_session_store
-            self._session_store = get_default_session_store()
+            if self._session_store is None:
+                from ..session import get_default_session_store
+                self._session_store = get_default_session_store()
 
             # Restore chat history from previous session
             history = self._session_store.get_chat_history(self._session_id)

src/praisonai/praisonai/cli/commands/run.py

@@ -256,6 +256,7 @@ class Args:
             args = Args()
             args.auto_save = auto_save_name
             args.resume_session = session_id
+            args.cli_project_sessions = bool(session_id or auto_save_name)
 
             praison.args = args
 
@@ -349,10 +350,9 @@ def _run_prompt(
         if not no_save:
             import uuid
             auto_save_name = session_id or "session-" + str(uuid.uuid4())[:8]
-
-        # If output_mode is "actions", use direct Agent with actions preset
         if output_mode == "actions":
             from praisonaiagents import Agent
+            from ..state.project_sessions import build_cli_memory_config, apply_cli_session_continuity
 
             agent_config = {
                 "name": "RunAgent",
@@ -370,13 +370,13 @@ def _run_prompt(
                     approval, all_tools=approve_all_tools, timeout=approval_timeout,
                 )
 
-            # Add session support to Agent if needed
-            if session_id:
-                agent_config["resume_session"] = session_id
-            if auto_save_name:
-                agent_config["auto_save"] = auto_save_name
+            memory_cfg = build_cli_memory_config(session_id, auto_save_name)
+            if memory_cfg is not None:
+                agent_config["memory"] = memory_cfg
 
             agent = Agent(**agent_config)
+            if session_id or auto_save_name:
+                apply_cli_session_continuity(agent, session_id or auto_save_name, auto_save=auto_save_name)
             result = agent.start(prompt)
 
             output.emit_result(
@@ -413,6 +413,7 @@ class Args:
         args.auto_save = auto_save_name
         args.history = None
         args.resume_session = session_id
+        args.cli_project_sessions = bool(session_id or auto_save_name)
         args.include_rules = None if no_rules else "auto"
         args.no_rules = no_rules
         args.workflow = None
@@ -440,44 +441,6 @@ class Args:
 
         praison.args = args
 
-        # If output_mode is "actions", use direct Agent with actions preset
-        if output_mode == "actions":
-            from praisonaiagents import Agent
-
-            agent_config = {
-                "name": "RunAgent",
-                "role": "Assistant", 
-                "goal": "Complete the task",
-                "output": "actions",  # Use actions preset
-            }
-            if model:
-                agent_config["llm"] = model
-
-            # Resolve approval backend if specified
-            if approval:
-                from praisonai.cli.features.approval import resolve_approval_config
-                agent_config["approval"] = resolve_approval_config(
-                    approval, all_tools=approve_all_tools, timeout=approval_timeout,
-                )
-
-            # Add session support to Agent if needed
-            if session_id:
-                agent_config["resume_session"] = session_id
-            if auto_save_name:
-                agent_config["auto_save"] = auto_save_name
-
-            agent = Agent(**agent_config)
-            result = agent.start(prompt)
-
-            output.emit_result(
-                message="Prompt completed",
-                data={"result": str(result) if result else None}
-            )
-
-            # Don't print result again - actions mode already shows output
-            return
-
-        # Use handle_direct_prompt for other modes
         result = praison.handle_direct_prompt(prompt)
 
         output.emit_result(
@@ -536,6 +499,22 @@ def _run_from_file_profiled(
     )
     if model:
         praison.config_list[0]['model'] = model
+
+    # Apply session continuity if requested
+    session_id, auto_save_name = resolve_session_params(
+        continue_session, session, fork, no_save
+    )
+    if session_id or auto_save_name:
+        class Args:
+            pass
+
+        args = Args()
+        args.auto_save = auto_save_name
+        args.resume_session = session_id
+        args.cli_project_sessions = bool(session_id or auto_save_name)
+
+        praison.args = args
+
     profiler.mark_init_end()
 
     # Execution phase
@@ -597,7 +576,21 @@ def _run_prompt_profiled(
     if model:
         agent_config["llm"] = model
 
+    # Apply session continuity if requested
+    session_id, auto_save_name = resolve_session_params(
+        continue_session, session, fork, no_save
+    )
+    if session_id or auto_save_name:
+        from ..state.project_sessions import build_cli_memory_config, apply_cli_session_continuity
+
+        memory_cfg = build_cli_memory_config(session_id, auto_save_name)
+        if memory_cfg is not None:
+            agent_config["memory"] = memory_cfg
+
     agent = Agent(**agent_config)
+    if session_id or auto_save_name:
+        apply_cli_session_continuity(agent, session_id or auto_save_name, auto_save=auto_save_name)
+
     profiler.mark_init_end()
 
     # Execution phase

src/praisonai/praisonai/cli/main.py

@@ -362,13 +362,20 @@ def main(self):
         original_agent_file = self.agent_file
 
         # Parse args - this returns both args and unknown_args
+        preserved_args = getattr(self, 'args', None)
         parse_result = self.parse_args()
         if isinstance(parse_result, tuple):
             args, unknown_args = parse_result
         else:
             args = parse_result
             unknown_args = []
 
+        # Preserve project session flags set by ``praison run`` before parse_args()
+        if preserved_args and getattr(preserved_args, 'cli_project_sessions', False):
+            for attr in ('auto_save', 'resume_session', 'cli_project_sessions'):
+                if hasattr(preserved_args, attr):
+                    setattr(args, attr, getattr(preserved_args, attr))
+
         # Store args for use in handle_direct_prompt
         self.args = args
         invocation_cmd = "praisonai"
@@ -4243,6 +4250,15 @@ def _extract_cli_config_for_yaml(self):
         handoff_detect_cycles = getattr(self.args, 'handoff_detect_cycles', None)
         if handoff_detect_cycles is not None:
             cli_config['handoff_detect_cycles'] = handoff_detect_cycles
+
+        if getattr(self.args, 'cli_project_sessions', False):
+            from .state.project_sessions import build_cli_memory_config
+            memory_cfg = build_cli_memory_config(
+                getattr(self.args, 'resume_session', None),
+                getattr(self.args, 'auto_save', None),
+            )
+            if memory_cfg is not None:
+                cli_config['memory'] = memory_cfg
 
         return cli_config
 
@@ -4509,6 +4525,15 @@ def handle_direct_prompt(self, prompt):
                     else:
                         agent_config["memory"] = True
                     print("[bold cyan]Memory enabled - agent will remember context across sessions[/bold cyan]")
+                elif getattr(self.args, 'cli_project_sessions', False) and (
+                    getattr(self.args, 'resume_session', None) or getattr(self.args, 'auto_save', None)
+                ):
+                    from .state.project_sessions import build_cli_memory_config
+                    agent_config["memory"] = build_cli_memory_config(
+                        getattr(self.args, 'resume_session', None),
+                        getattr(self.args, 'auto_save', None),
+                    )
+                    print(f"[bold cyan]Project session enabled - session '{agent_config['memory'].auto_save}'[/bold cyan]")
                 elif getattr(self.args, 'auto_save', None):
                     from praisonaiagents import MemoryConfig
                     agent_config["memory"] = MemoryConfig(auto_save=self.args.auto_save)
@@ -4792,6 +4817,13 @@ def level_based_approve(function_name, arguments, risk_level):
                 flow.display_workflow_start("Direct Prompt", ["DirectAgent"])
 
             agent = PraisonAgent(**agent_config)
+
+            if hasattr(self, 'args') and getattr(self.args, 'cli_project_sessions', False):
+                session_id = getattr(self.args, 'resume_session', None) or getattr(self.args, 'auto_save', None)
+                auto_save = getattr(self.args, 'auto_save', None)
+                if session_id:
+                    from .state.project_sessions import apply_cli_session_continuity
+                    apply_cli_session_continuity(agent, session_id, auto_save=auto_save)
 
             # AutoRag - Automatic RAG retrieval decision
             if hasattr(self, 'args') and getattr(self.args, 'auto_rag', False):

src/praisonai/praisonai/cli/state/project_sessions.py

@@ -98,4 +98,40 @@ def find_last_session(project_path: Optional[str] = None) -> Optional[str]:
         Session ID or None if no sessions exist
     """
     store = get_project_session_store(project_path)
-    return store.get_last_session_id()
+    return store.get_last_session_id()
+
+
+def build_cli_memory_config(
+    session_id: Optional[str] = None,
+    auto_save: Optional[str] = None,
+):
+    """Build MemoryConfig for ``praison run`` project-scoped session continuity."""
+    if not session_id and not auto_save:
+        return None
+
+    from praisonaiagents import MemoryConfig
+
+    sid = session_id or auto_save
+    return MemoryConfig(session_id=sid, auto_save=auto_save, history=True)
+
+
+def apply_cli_session_continuity(agent, session_id: str, project_path: Optional[str] = None, auto_save: Optional[str] = None) -> None:
+    """Wire an agent to the project session store and restore prior history."""
+    store = get_project_session_store(project_path)
+    agent._session_store = store
+    agent._session_id = session_id
+    agent._history_enabled = True
+    agent._history_session_id = session_id
+    if auto_save is not None:
+        agent.auto_save = auto_save
+
+    history = store.get_chat_history(session_id)
+    if history and not agent.chat_history:
+        for msg in history:
+            agent.chat_history.append({
+                "role": msg["role"],
+                "content": msg["content"],
+            })
+        agent._auto_save_last_index = len(agent.chat_history)
+
+    agent._session_store_initialized = True

src/praisonai/tests/unit/cli/test_project_session_continuity.py

@@ -0,0 +1,57 @@
+"""Tests for praison run project-scoped session continuity."""
+
+from praisonai.cli.state.project_sessions import (
+    apply_cli_session_continuity,
+    build_cli_memory_config,
+    get_project_session_store,
+)
+from praisonaiagents import Agent
+
+
+def test_build_cli_memory_config_enables_history():
+    cfg = build_cli_memory_config(session_id="sess-1", auto_save="sess-1")
+    assert cfg is not None
+    assert cfg.session_id == "sess-1"
+    assert cfg.auto_save == "sess-1"
+    assert cfg.history is True
+
+
+def test_apply_cli_session_continuity_restores_project_history():
+    store = get_project_session_store()
+    session_id = "continuity-unit-test"
+    store.clear_session(session_id)
+    store.add_user_message(session_id, "remember this")
+    store.add_assistant_message(session_id, "acknowledged")
+
+    agent = Agent(name="RunAgent", memory=build_cli_memory_config(session_id, session_id))
+    apply_cli_session_continuity(agent, session_id)
+
+    assert agent._session_store.session_dir == store.session_dir
+    assert agent._session_id == session_id
+    assert len(agent.chat_history) == 2
+    assert agent.chat_history[0]["content"] == "remember this"
+
+    agent.chat_history.append({"role": "user", "content": "follow-up"})
+    agent.chat_history.append({"role": "assistant", "content": "reply"})
+    agent._auto_save_session()
+
+    saved = store.get_chat_history(session_id)
+    assert len(saved) == 4
+    assert saved[-1]["content"] == "reply"
+
+    store.clear_session(session_id)
+
+
+def test_injected_session_store_not_overwritten():
+    store = get_project_session_store()
+    session_id = "store-injection-test"
+    store.clear_session(session_id)
+
+    agent = Agent(name="RunAgent", memory=build_cli_memory_config(session_id, session_id))
+    apply_cli_session_continuity(agent, session_id)
+    injected_dir = agent._session_store.session_dir
+
+    agent._init_session_store()
+    assert agent._session_store.session_dir == injected_dir
+
+    store.clear_session(session_id)